Update native client to TensorFlow 2.4

Dockerfile.train.tmpl

@@ -1,6 +1,6 @@
 # Please refer to the TRAINING documentation, "Basic Dockerfile for training"
 
-FROM tensorflow/tensorflow:1.15.4-gpu-py3
+FROM tensorflow/tensorflow:2.3.1-gpu
 ENV DEBIAN_FRONTEND=noninteractive
 
 ENV DEEPSPEECH_REPO=#DEEPSPEECH_REPO#

doc/TRAINING.rst

@@ -10,7 +10,7 @@ Prerequisites for training a model
 
 * `Python 3.6 <https://www.python.org/>`_
 * Mac or Linux environment
-* CUDA 10.0 / CuDNN v7.6 per `Dockerfile <https://hub.docker.com/layers/tensorflow/tensorflow/1.15.4-gpu-py3/images/sha256-a5255ae38bcce7c7610816c778244309f8b8d1576e2c0023c685c011392958d7?context=explore>`_.
+* CUDA 10.1 / CuDNN v7.6 per `Dockerfile <https://hub.docker.com/layers/tensorflow/tensorflow/2.3.1-gpu/images/sha256-1d0736e46ae9a961c2111394a43e0bfd266e6151a90d613b6f86229cf01e40e5?context=explore  >`_.
 
 Getting the training code
 ^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -72,7 +72,7 @@ If you have a capable (NVIDIA, at least 8GB of VRAM) GPU, it is highly recommend
 .. code-block:: bash
 
    pip3 uninstall tensorflow
-   pip3 install 'tensorflow-gpu==1.15.4'
+   pip3 install 'tensorflow-gpu==2.3.1'
 
 Please ensure you have the required `CUDA dependency <https://www.tensorflow.org/install/source#gpu>`_ and/or :ref:`Prerequisites <cuda-training-deps>`.
 
@@ -83,7 +83,7 @@ It has been reported for some people failure at training:
    tensorflow.python.framework.errors_impl.UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
         [[{{node tower_0/conv1d/Conv2D}}]]
 
-Setting the ``TF_FORCE_GPU_ALLOW_GROWTH`` environment variable to ``true`` seems to help in such cases. This could also be due to an incorrect version of libcudnn. Double check your versions with the :ref:`TensorFlow 1.15 documentation <cuda-training-deps>`.
+Setting the ``TF_FORCE_GPU_ALLOW_GROWTH`` environment variable to ``true`` seems to help in such cases. This could also be due to an incorrect version of libcudnn. Double check your versions with the :ref:`TensorFlow 2.3 documentation <cuda-training-deps>`.
 
 Basic Dockerfile for training
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

native_client/BUILD

@@ -169,33 +169,33 @@ cc_library(
             "//tensorflow/core/kernels:spectrogram_op",  # AudioSpectrogram
             "//tensorflow/core/kernels:bias_op",  # BiasAdd
             "//tensorflow/core/kernels:cast_op",  # Cast
-            "//tensorflow/core/kernels:concat_op",  # ConcatV2
             "//tensorflow/core/kernels:constant_op",  # Const, Placeholder
-            "//tensorflow/core/kernels:shape_ops",  # ExpandDims, Shape
-            "//tensorflow/core/kernels:gather_nd_op",  # GatherNd
+            "//tensorflow/core/kernels:shape_ops",  # ExpandDims
             "//tensorflow/core/kernels:identity_op",  # Identity
             "//tensorflow/core/kernels:immutable_constant_op",  # ImmutableConst (used in memmapped models)
-            "//tensorflow/core/kernels:deepspeech_cwise_ops",  # Less, Minimum, Mul
+            "//tensorflow/core/kernels:deepspeech_cwise_ops",  # Minimum, Mul, SelectV2, NotEqual
             "//tensorflow/core/kernels:matmul_op",  # MatMul
-            "//tensorflow/core/kernels:reduction_ops",  # Max
             "//tensorflow/core/kernels:mfcc_op",  # Mfcc
             "//tensorflow/core/kernels:no_op",  # NoOp
             "//tensorflow/core/kernels:pack_op",  # Pack
-            "//tensorflow/core/kernels:sequence_ops",  # Range
             "//tensorflow/core/kernels:relu_op",  # Relu
             "//tensorflow/core/kernels:reshape_op",  # Reshape
+            "//tensorflow/core/kernels:reduction_ops",  # Any
             "//tensorflow/core/kernels:softmax_op",  # Softmax
+            "//tensorflow/core/kernels:strided_slice_op",  # StridedSlice
+            "//tensorflow/core/kernels:slice_op",  # Slice
+            "//tensorflow/core/kernels:split_op",  # Split
             "//tensorflow/core/kernels:tile_ops",  # Tile
             "//tensorflow/core/kernels:transpose_op",  # Transpose
-            "//tensorflow/core/kernels:rnn_ops",  # BlockLSTM
+            "//tensorflow/core/kernels:unpack_op",  # Unpack
             # And we also need the op libs for these ops used in the model:
             "//tensorflow/core:audio_ops_op_lib",  # AudioSpectrogram, Mfcc
-            "//tensorflow/core:rnn_ops_op_lib",  # BlockLSTM
-            "//tensorflow/core:math_ops_op_lib",  # Cast, Less, Max, MatMul, Minimum, Range
-            "//tensorflow/core:array_ops_op_lib",  # ConcatV2, Const, ExpandDims, Fill, GatherNd, Identity, Pack, Placeholder, Reshape, Tile, Transpose
+            "//tensorflow/core:math_ops_op_lib",  # MatMul, Minimum
+            "//tensorflow/core:array_ops_op_lib",  # Const, ExpandDims, Identity, Pack, Placeholder, Reshape, Tile, Transpose
             "//tensorflow/core:no_op_op_lib",  # NoOp
             "//tensorflow/core:nn_ops_op_lib",  # Relu, Softmax, BiasAdd
             # And op libs for these ops brought in by dependencies of dependencies to silence unknown OpKernel warnings:
+            "//tensorflow/core:state_ops_op_lib",  # Variable, VariableV2, TemporaryVariable, DestroyTemporaryVariable, IsVariableInitialized
             "//tensorflow/core:dataset_ops_op_lib",  # UnwrapDatasetVariant, WrapDatasetVariant
             "//tensorflow/core:sendrecv_ops_op_lib",  # _HostRecv, _HostSend, _Recv, _Send
         ],

native_client/ctcdecode/path_trie.cpp

@@ -158,7 +158,7 @@ PathTrie* PathTrie::get_prev_word(std::vector<unsigned int>& output,
 
 void PathTrie::iterate_to_vec(std::vector<PathTrie*>& output) {
   // previous_timesteps might point to ancestors' timesteps
-  // therefore, children must be uptaded first
+  // therefore, children must be updated first
   for (auto child : children_) {
     child.second->iterate_to_vec(output);
   }

native_client/tflitemodelstate.cc

@@ -362,8 +362,8 @@ TFLiteModelState::infer(const vector<float>& mfcc,
 {
   const size_t num_classes = alphabet_.GetSize() + 1; // +1 for blank
 
-  // Feeding input_node
-  copy_vector_to_tensor(mfcc, input_node_idx_, n_frames*mfcc_feats_per_timestep_);
+  // Feeding input_node, zeroing remaining timesteps in case of a partial batch
+  copy_vector_to_tensor(mfcc, input_node_idx_, n_steps_*mfcc_feats_per_timestep_);
 
   // Feeding previous_state_c, previous_state_h
   assert(previous_state_c.size() == state_size_);

native_client/tfmodelstate.cc

@@ -213,14 +213,10 @@ TFModelState::infer(const std::vector<float>& mfcc,
   Tensor previous_state_c_t = tensor_from_vector(previous_state_c, TensorShape({BATCH_SIZE, (long long)state_size_}));
   Tensor previous_state_h_t = tensor_from_vector(previous_state_h, TensorShape({BATCH_SIZE, (long long)state_size_}));
 
-  Tensor input_lengths(DT_INT32, TensorShape({1}));
-  input_lengths.scalar<int>()() = n_frames;
-
   vector<Tensor> outputs;
   Status status = session_->Run(
     {
      {"input_node", input},
-     {"input_lengths", input_lengths},
      {"previous_state_c", previous_state_c_t},
      {"previous_state_h", previous_state_h_t}
     },

setup.py

@@ -67,6 +67,7 @@ def main():
         'llvmlite == 0.31.0', # for numba==0.47.0
         'librosa',
         'soundfile',
+        'tensorflow_addons >= 0.12.0',
     ]
 
     decoder_pypi_dep = [
@@ -74,7 +75,7 @@ def main():
     ]
 
     tensorflow_pypi_dep = [
-        'tensorflow == 1.15.4'
+        'tensorflow == 2.3.1'
     ]
 
     # Due to pip craziness environment variables are the only consistent way to

taskcluster/.build.yml

@@ -23,7 +23,7 @@ build:
   nc_asset_name: 'native_client.tar.xz'
   args:
     tests_cmdline: ''
-  tensorflow_git_desc: 'TensorFlow: v2.3.0-6-g23ad988'
+  tensorflow_git_desc: 'TensorFlow: v2.4.0-4-g729f867'
   test_model_task: ''
   homebrew:
     url: ''

taskcluster/.shared.yml

@@ -147,29 +147,29 @@ system:
       namespace: 'project.deepspeech.pyenv.win.18'
   kenlm:
     android_arm64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.android-arm64/artifacts/public/kenlm.tar.gz"
-      namespace: "project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.android-arm64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.android-arm64/artifacts/public/kenlm.tar.gz"
+      namespace: "project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.android-arm64"
     android_armv7_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.android-armv7/artifacts/public/kenlm.tar.gz"
-      namespace: "project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.android-armv7"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.android-armv7/artifacts/public/kenlm.tar.gz"
+      namespace: "project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.android-armv7"
     android_x86_64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.android-x86_64/artifacts/public/kenlm.tar.gz"
-      namespace: "project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.android-x86_64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.android-x86_64/artifacts/public/kenlm.tar.gz"
+      namespace: "project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.android-x86_64"
     linux_amd64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.cpu/artifacts/public/kenlm.tar.gz"
-      namespace: "project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.cpu"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.cpu/artifacts/public/kenlm.tar.gz"
+      namespace: "project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.cpu"
     linux_arm64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.arm64/artifacts/public/kenlm.tar.gz"
-      namespace: "project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.arm64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.arm64/artifacts/public/kenlm.tar.gz"
+      namespace: "project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.arm64"
     linux_rpi3_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.rpi3/artifacts/public/kenlm.tar.gz"
-      namespace: "project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.rpi3"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.rpi3/artifacts/public/kenlm.tar.gz"
+      namespace: "project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.rpi3"
     darwin_amd64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.osx/artifacts/public/kenlm.tar.gz"
-      namespace: "project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.osx"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.osx/artifacts/public/kenlm.tar.gz"
+      namespace: "project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.osx"
     win_amd64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.win/artifacts/public/kenlm.tar.gz"
-      namespace: "project.deepspeech.kenlm.689a25aae9171b3ea46bd80d4189f540f35f1a02.4.win"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.win/artifacts/public/kenlm.tar.gz"
+      namespace: "project.deepspeech.kenlm.13b0a8259d0cb4e621b430a742effd2deb15c136.4.win"
   swig:
     repo: "https://github.com/lissyx/swig"
     sha1: "1a4c14945012f1282c2eddc174fb7674d5295de8"
@@ -185,79 +185,79 @@ system:
       namespace: "project.deepspeech.swig.win.amd64.1a4c14945012f1282c2eddc174fb7674d5295de8.0"
   tensorflow:
     linux_amd64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cpu/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cpu"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cpu/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cpu"
     linux_amd64_cuda:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cuda/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cuda"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cuda/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cuda"
     linux_armv7:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.arm/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.arm"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.arm/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.arm"
     linux_arm64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.arm64/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.arm64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.arm64/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.arm64"
     darwin_amd64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.osx/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.osx"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.osx/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.osx"
     android_arm64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.android-arm64/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.android-arm64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.android-arm64/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.android-arm64"
     android_armv7:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.android-armv7/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.android-armv7"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.android-armv7/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.android-armv7"
     win_amd64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.win/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.win"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.win/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.win"
     win_amd64_cuda:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.win-cuda/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.win-cuda"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.win-cuda/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.win-cuda"
     ios_arm64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.ios_arm64/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.ios_arm64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.ios_arm64/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.ios_arm64"
     ios_x86_64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.ios_x86_64/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.ios_x86_64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.ios_x86_64/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.ios_x86_64"
   tensorflow_gcc9:
     linux_amd64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cpu_gcc9/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cpu_gcc9"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cpu_gcc9/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cpu_gcc9"
     linux_amd64_cuda:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cuda_gcc9/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cuda_gcc9"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cuda_gcc9/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cuda_gcc9"
   tensorflow_dbg:
     linux_amd64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cpu/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cpu"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cpu/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cpu"
     linux_amd64_cuda:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cuda/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.cuda"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cuda/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.cuda"
     linux_armv7:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.arm/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.arm"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.arm/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.arm"
     linux_arm64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.arm64/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.arm64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.arm64/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.arm64"
     darwin_amd64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.osx/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.osx"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.osx/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.osx"
     android_arm64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.android-arm64/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.android-arm64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.android-arm64/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.android-arm64"
     android_armv7:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.android-armv7/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.android-armv7"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.android-armv7/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.android-armv7"
     win_amd64_cpu:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.win/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.win"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.win/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.win"
     win_amd64_cuda:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.win-cuda/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.win-cuda"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.win-cuda/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.0.win-cuda"
     ios_arm64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.ios_arm64/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.ios_arm64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.ios_arm64/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.ios_arm64"
     ios_x86_64:
-      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.ios_x86_64/artifacts/public/home.tar.xz"
-      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.3.23ad988fcde60fb01f9533e95004bbc4877a9143.0.ios_x86_64"
+      url: "https://community-tc.services.mozilla.com/api/index/v1/task/project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.ios_x86_64/artifacts/public/home.tar.xz"
+      namespace: "project.deepspeech.tensorflow_dbg.pip.r2.4.36503d1408f11b434ace340cc8825c479af89362.1.ios_x86_64"
   username: 'build-user'
   homedir:
     linux: '/home/build-user'

taskcluster/darwin-opt-base.tyml

@@ -42,7 +42,7 @@ payload:
       - >
         export TASKCLUSTER_ARTIFACTS="$(pwd)/public/" &&
         export TASKCLUSTER_ORIG_TASKDIR="$(pwd)" &&
-        (rm -fr ../tc-workdir/ ; mkdir ../tc-workdir/) && cd ../tc-workdir/ &&
+        (ls -lh .. && rm -fr ../tc-workdir && mkdir ../tc-workdir && ls -lh ..) && cd ../tc-workdir &&
         export TASKCLUSTER_TASK_DIR="$(pwd)" &&
         export LC_ALL=C &&
         export MACOSX_DEPLOYMENT_TARGET=10.10 &&

taskcluster/examples-base.tyml

@@ -18,11 +18,11 @@ then:
     image: ${build.docker_image}
 
     env:
-      DEEPSPEECH_MODEL: "https://github.com/reuben/DeepSpeech/releases/download/v0.8.0/models_0.8.tar.gz"
+      DEEPSPEECH_MODEL: "https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/models_0.10.tar.gz"
       DEEPSPEECH_AUDIO: "https://github.com/mozilla/DeepSpeech/releases/download/v0.4.1/audio-0.4.1.tar.gz"
       PIP_DEFAULT_TIMEOUT: "60"
       EXAMPLES_CLONE_URL: "https://github.com/mozilla/DeepSpeech-examples"
-      EXAMPLES_CHECKOUT_TARGET: "master"
+      EXAMPLES_CHECKOUT_TARGET: "v0.10-models"
 
     command:
       - "/bin/bash"

taskcluster/generic_tc_caching-darwin-opt-base.tyml

@@ -30,7 +30,7 @@ payload:
         in: >
           export TASKCLUSTER_ARTIFACTS="$(pwd)/public/" &&
           export TASKCLUSTER_ORIG_TASKDIR="$(pwd)" &&
-          (rm -fr ../tc-workdir/ ; mkdir ../tc-workdir/) && cd ../tc-workdir/ &&
+          (ls -lh .. && rm -fr ../tc-workdir && mkdir ../tc-workdir && ls -lh ..) && cd ../tc-workdir &&
           export TASKCLUSTER_TASK_DIR="$(pwd)" &&
           export LC_ALL=C &&
           export MACOSX_DEPLOYMENT_TARGET=10.10 &&

taskcluster/tc-asserts.sh

@@ -183,7 +183,7 @@ assert_not_present()
 
 assert_correct_ldc93s1()
 {
-  assert_correct_inference "$1" "she had your dark suit in greasy wash water all year" "$2"
+  assert_correct_inference "$1" "she had your dark suit in greasy wash water al year" "$2"
 }
 
 assert_working_ldc93s1()
@@ -216,18 +216,18 @@ assert_correct_ldc93s1_prodmodel()
   fi;
 
   if [ "$3" = "8k" ]; then
-    assert_correct_inference "$1" "she had to do suit in greasy wash water all year" "$2"
+    assert_correct_inference "$1" "she had r dark suit a greasy wash water all year" "$2"
   fi;
 }
 
 assert_correct_ldc93s1_prodtflitemodel()
 {
   if [ -z "$3" -o "$3" = "16k" ]; then
-    assert_correct_inference "$1" "she had her dark suit in greasy wash water all year" "$2"
+    assert_correct_inference "$1" "she had your dark suit in greasy wash water all year" "$2"
   fi;
 
   if [ "$3" = "8k" ]; then
-    assert_correct_inference "$1" "she had to do so in greasy wash water all year" "$2"
+    assert_correct_inference "$1" "she had r dark suit ll greasy wash water all year" "$2"
   fi;
 }
 
@@ -238,7 +238,7 @@ assert_correct_ldc93s1_prodmodel_stereo_44k()
 
 assert_correct_ldc93s1_prodtflitemodel_stereo_44k()
 {
-  assert_correct_inference "$1" "she had her dark suit in greasy wash water all year" "$2"
+  assert_correct_inference "$1" "she had your dark suit in greasy wash water all year" "$2"
 }
 
 assert_correct_warning_upsampling()
@@ -444,7 +444,7 @@ run_prod_concurrent_stream_tests()
   output2=$(echo "${output}" | tail -n 1)
 
   assert_correct_ldc93s1_prodmodel "${output1}" "${status}" "16k"
-  assert_correct_inference "${output2}" "we must find a new home in the stars" "${status}"
+  assert_correct_inference "${output2}" "she a rare a rarer as he" "${status}"
 }
 
 run_prod_inference_tests()

taskcluster/test-armbian-opt-base.tyml

@@ -23,8 +23,8 @@ then:
         linux_arm64_build: { $eval: as_slugid("linux-arm64-cpu-opt") }
       in:
         DEEPSPEECH_TEST_MODEL: https://community-tc.services.mozilla.com/api/queue/v1/task/${training}/artifacts/public/output_graph.pb
-        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pb
+        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pbmm
         PIP_DEFAULT_TIMEOUT: "60"
         PIP_EXTRA_INDEX_URL: "https://lissyx.github.io/deepspeech-python-wheels/"
         EXTRA_PYTHON_CONFIGURE_OPTS: "" # Required by Debian Buster

taskcluster/test-darwin-opt-base.tyml

@@ -27,8 +27,8 @@ then:
         darwin_amd64_tflite: { $eval: as_slugid("darwin-amd64-tflite-opt") }
       in:
         DEEPSPEECH_TEST_MODEL: https://community-tc.services.mozilla.com/api/queue/v1/task/${training}/artifacts/public/output_graph.pb
-        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pb
+        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pbmm
         EXPECTED_TENSORFLOW_VERSION: "${build.tensorflow_git_desc}"
 
     command:
@@ -40,7 +40,7 @@ then:
           in: >
             export TASKCLUSTER_ARTIFACTS="$(pwd)/public/" &&
             export TASKCLUSTER_ORIG_TASKDIR="$(pwd)" &&
-            (rm -fr ../tc-workdir/ ; mkdir ../tc-workdir/) && cd ../tc-workdir/ &&
+            (ls -lh .. && rm -fr ../tc-workdir && mkdir ../tc-workdir && ls -lh ..) && cd ../tc-workdir &&
             export TASKCLUSTER_TASK_DIR="$(pwd)" &&
             export TASKCLUSTER_TMP_DIR="$TASKCLUSTER_TASK_DIR/tmp" &&
             export LC_ALL=C &&

taskcluster/test-linux-opt-base.tyml

@@ -25,8 +25,8 @@ then:
         linux_amd64_ctc: { $eval: as_slugid("linux-amd64-ctc-opt") }
       in:
         DEEPSPEECH_TEST_MODEL: https://community-tc.services.mozilla.com/api/queue/v1/task/${training}/artifacts/public/output_graph.pb
-        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pb
+        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pbmm
         DECODER_ARTIFACTS_ROOT: https://community-tc.services.mozilla.com/api/queue/v1/task/${linux_amd64_ctc}/artifacts/public
         PIP_DEFAULT_TIMEOUT: "60"
         EXPECTED_TENSORFLOW_VERSION: "${build.tensorflow_git_desc}"

taskcluster/test-linux-opt-tag-base.tyml

@@ -25,8 +25,8 @@ then:
         linux_amd64_ctc: { $eval: as_slugid("linux-amd64-ctc-opt") }
       in:
         DEEPSPEECH_TEST_MODEL: https://community-tc.services.mozilla.com/api/queue/v1/task/${training}/artifacts/public/output_graph.pb
-        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pb
+        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pbmm
         DECODER_ARTIFACTS_ROOT: https://community-tc.services.mozilla.com/api/queue/v1/task/${linux_amd64_ctc}/artifacts/public
         PIP_DEFAULT_TIMEOUT: "60"
         EXPECTED_TENSORFLOW_VERSION: "${build.tensorflow_git_desc}"

taskcluster/test-raspbian-opt-base.tyml

@@ -23,8 +23,8 @@ then:
         linux_rpi3_build: { $eval: as_slugid("linux-rpi3-cpu-opt") }
       in:
         DEEPSPEECH_TEST_MODEL: https://community-tc.services.mozilla.com/api/queue/v1/task/${training}/artifacts/public/output_graph.pb
-        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pb
+        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pbmm
         PIP_DEFAULT_TIMEOUT: "60"
         PIP_EXTRA_INDEX_URL: "https://www.piwheels.org/simple"
         EXTRA_PYTHON_CONFIGURE_OPTS: "" # Required by Raspbian Buster / PiWheels

taskcluster/test-training-extra_16k-linux-amd64-py35m-opt.yml

@@ -1,13 +0,0 @@
-build:
-  template_file: test-linux-opt-base.tyml
-  dependencies:
-    - "linux-amd64-ctc-opt"
-  system_setup:
-    >
-      apt-get -qq update && apt-get -qq -y install ${training.packages_xenial.apt}
-  args:
-    tests_cmdline: "${system.homedir.linux}/DeepSpeech/ds/taskcluster/tc-train-extra-tests.sh 3.5.8:m 16k"
-  workerType: "${docker.dsTests}"
-  metadata:
-    name: "DeepSpeech Linux AMD64 CPU 8kHz all training features Py3.7"
-    description: "Training (all features) a DeepSpeech LDC93S1 model for Linux/AMD64 8kHz Python 3.7, CPU only, optimized version"

taskcluster/test-training-extra_16k-linux-amd64-py36m-opt.yml

@@ -9,5 +9,5 @@ build:
     tests_cmdline: "${system.homedir.linux}/DeepSpeech/ds/taskcluster/tc-train-extra-tests.sh 3.6.10:m 16k"
   workerType: "${docker.dsTests}"
   metadata:
-    name: "DeepSpeech Linux AMD64 CPU 8kHz all training features Py3.7"
-    description: "Training (all features) a DeepSpeech LDC93S1 model for Linux/AMD64 8kHz Python 3.7, CPU only, optimized version"
+    name: "DeepSpeech Linux AMD64 CPU 8kHz all training features Py3.6"
+    description: "Training (all features) a DeepSpeech LDC93S1 model for Linux/AMD64 8kHz Python 3.6, CPU only, optimized version"

taskcluster/test-training-extra_8k-linux-amd64-py36m-opt.yml

@@ -9,5 +9,5 @@ build:
     tests_cmdline: "${system.homedir.linux}/DeepSpeech/ds/taskcluster/tc-train-extra-tests.sh 3.6.10:m 8k"
   workerType: "${docker.dsTests}"
   metadata:
-    name: "DeepSpeech Linux AMD64 CPU 8kHz all training features Py3.7"
-    description: "Training (all features) a DeepSpeech LDC93S1 model for Linux/AMD64 8kHz Python 3.7, CPU only, optimized version"
+    name: "DeepSpeech Linux AMD64 CPU 8kHz all training features Py3.6"
+    description: "Training (all features) a DeepSpeech LDC93S1 model for Linux/AMD64 8kHz Python 3.6, CPU only, optimized version"

taskcluster/test-training-pypi_16k-linux-amd64-py35m-opt.yml

@@ -1,16 +0,0 @@
-build:
-  template_file: test-linux-opt-tag-base.tyml
-  dependencies:
-    - "scriptworker-task-pypi"
-  allowed:
-    - "tag"
-  ref_match: "refs/tags/"
-  system_setup:
-    >
-      apt-get -qq update && apt-get -qq -y install ${training.packages_xenial.apt}
-  args:
-    tests_cmdline: "${system.homedir.linux}/DeepSpeech/ds/taskcluster/tc-train-tests.sh 3.5.8:m 16k --pypi"
-  workerType: "${docker.dsTests}"
-  metadata:
-    name: "DeepSpeech Linux AMD64 CPU 16kHz PyPI training Py3.5"
-    description: "Training a DeepSpeech LDC93S1 model for Linux/AMD64 16kHz Python 3.5, CPU only, optimized version, decoder package from PyPI"

taskcluster/test-training-unittests_8k-linux-amd64-py35m-opt.yml

@@ -1,13 +0,0 @@
-build:
-  template_file: test-linux-opt-base.tyml
-  dependencies:
-    - "linux-amd64-ctc-opt"
-  system_setup:
-    >
-      apt-get -qq update && apt-get -qq -y install ${training.packages_xenial.apt}
-  args:
-    tests_cmdline: "${system.homedir.linux}/DeepSpeech/ds/taskcluster/tc-train-unittests.sh 3.5.8:m"
-  workerType: "${docker.dsTests}"
-  metadata:
-    name: "DeepSpeech on Linux AMD64 CPU training unittests using Python 3.5"
-    description: "Training unittests DeepSpeech LDC93S1 model for Linux/AMD64 using Python 3.5, for CPU only, and optimized version"

taskcluster/test-training_16k-linux-amd64-py35m-opt.yml

@@ -1,13 +0,0 @@
-build:
-  template_file: test-linux-opt-base.tyml
-  dependencies:
-    - "linux-amd64-ctc-opt"
-  system_setup:
-    >
-      apt-get -qq update && apt-get -qq -y install ${training.packages_xenial.apt}
-  args:
-    tests_cmdline: "${system.homedir.linux}/DeepSpeech/ds/taskcluster/tc-train-tests.sh 3.5.8:m 16k"
-  workerType: "${docker.dsTests}"
-  metadata:
-    name: "DeepSpeech Linux AMD64 CPU 16kHz basic training Py3.5"
-    description: "Training a DeepSpeech LDC93S1 model for Linux/AMD64 16kHz Python 3.5, CPU only, optimized version"

taskcluster/test-transcribe_16k-linux-amd64-py35m-opt.yml

@@ -1,13 +0,0 @@
-build:
-  template_file: test-linux-opt-base.tyml
-  dependencies:
-    - "test-training_16k-linux-amd64-py36m-opt"
-  system_setup:
-    >
-      apt-get -qq update && apt-get -qq -y install ${training.packages_xenial.apt} ${python.packages_xenial.apt}
-  args:
-    tests_cmdline: "${system.homedir.linux}/DeepSpeech/ds/taskcluster/tc-transcribe-tests.sh 3.5.8:m 16k"
-  workerType: "${docker.dsTests}"
-  metadata:
-    name: "DeepSpeech Linux AMD64 CPU 16kHz transcribe Py3.5"
-    description: "Transcribe a DeepSpeech LDC93S1 model for Linux/AMD64 16kHz Python 3.5, CPU only, optimized version"

taskcluster/test-win-cuda-opt-base.tyml

@@ -22,8 +22,8 @@ then:
         win_amd64_build: { $eval: as_slugid("win-amd64-gpu-opt") }
       in:
         DEEPSPEECH_TEST_MODEL: https://community-tc.services.mozilla.com/api/queue/v1/task/${training}/artifacts/public/output_graph.pb
-        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pb
+        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pbmm
         EXPECTED_TENSORFLOW_VERSION: "${build.tensorflow_git_desc}"
         TC_MSYS_VERSION: 'MSYS_NT-6.3-9600'
         MSYS: 'winsymlinks:nativestrict'

taskcluster/test-win-opt-base.tyml

@@ -24,8 +24,8 @@ then:
       in:
         DEEPSPEECH_ARTIFACTS_TFLITE_ROOT: https://community-tc.services.mozilla.com/api/queue/v1/task/${win_amd64_tflite}/artifacts/public
         DEEPSPEECH_TEST_MODEL: https://community-tc.services.mozilla.com/api/queue/v1/task/${training}/artifacts/public/output_graph.pb
-        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pb
-        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.7.0-alpha.3/output_graph.pbmm
+        DEEPSPEECH_PROD_MODEL: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pb
+        DEEPSPEECH_PROD_MODEL_MMAP: https://github.com/reuben/DeepSpeech/releases/download/v0.10.0-alpha.3/output_graph.pbmm
         EXPECTED_TENSORFLOW_VERSION: "${build.tensorflow_git_desc}"
         TC_MSYS_VERSION: 'MSYS_NT-6.3-9600'
         MSYS: 'winsymlinks:nativestrict'

taskcluster/win-opt-base.tyml

@@ -30,7 +30,7 @@ payload:
     MSYS: 'winsymlinks:nativestrict'
     GIT_LFS_SKIP_SMUDGE: '1'
     EXAMPLES_CLONE_URL: "https://github.com/mozilla/DeepSpeech-examples"
-    EXAMPLES_CHECKOUT_TARGET: "master"
+    EXAMPLES_CHECKOUT_TARGET: "v0.10-models"
 
   command:
     - >-

tensorflow

@@ -1 +1 @@
-Subproject commit 23ad988fcde60fb01f9533e95004bbc4877a9143
+Subproject commit f6713a49a56506c6f10dcb7b22540c5fe80681c3

tensorflow_full_runtime.supp

@@ -6814,636 +6814,7 @@
    fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
    fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
    fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_function_ops.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_spectrogram_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_bias_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_cast_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_concat_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_constant_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_shape_ops.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_gather_nd_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_identity_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_immutable_constant_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_cwise_op_less.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_cwise_op_minimum.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_cwise_op_mul_1.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_cwise_op_squared_difference.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_cwise_op_add_1.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_cwise_op_add_2.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_cwise_op_rsqrt.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_cwise_op_sub.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_matmul_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_matmul_op_fused.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_reduction_ops_all.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_reduction_ops_any.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_reduction_ops_euclidean.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_reduction_ops_max.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_reduction_ops_mean.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_reduction_ops_min.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_reduction_ops_prod.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_reduction_ops_sum.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_mfcc_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_pack_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_sequence_ops.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_relu_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_reshape_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_softmax_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_tile_ops.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_transpose_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_no_op.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_sendrecv_ops.cc
+   ...
 }
 {
    <tensorflow_full>
@@ -7462,57 +6833,6 @@
    fun:_ZN10tensorflowL10InitModuleEv
    fun:_Z41__static_initialization_and_destruction_0ii
 }
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_gru_ops.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_lstm_ops.cc
-}
-{
-   <tensorflow_full>
-   Memcheck:Leak
-   match-leak-kinds: reachable
-   fun:_Znwm
-   fun:_ZN9__gnu_cxx13new_allocatorINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEE8allocateEmPKv
-   fun:_ZNSt16allocator_traitsISaINSt8__detail10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE8allocateERSE_m
-   fun:_ZNSt8__detail16_Hashtable_allocISaINS_10_Hash_nodeISt4pairIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationEELb1EEEEE16_M_allocate_nodeIJRS9_SB_EEEPSD_DpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEENSC_20_Node_const_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE10_M_emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEESt17integral_constantIbLb0EEDpOT_
-   fun:_ZNSt10_HashtableINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N10tensorflow18KernelRegistrationEESaISA_ENSt8__detail10_Select1stESt8equal_toIS5_ESt4hashIS5_ENSC_18_Mod_range_hashingENSC_20_Default_ranged_hashENSC_20_Prime_rehash_policyENSC_17_Hashtable_traitsILb1ELb0ELb0EEEE7emplaceIJRS7_S9_EEENSC_14_Node_iteratorISA_Lb0ELb1EEEDpOT_
-   fun:_ZNSt18unordered_multimapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEN10tensorflow18KernelRegistrationESt4hashIS5_ESt8equal_toIS5_ESaISt4pairIKS5_S7_EEE7emplaceIJRSD_S7_EEENSt8__detail14_Node_iteratorISE_Lb0ELb1EEEDpOT_
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrar12InitInternalEPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewESt10unique_ptrINS0_15OpKernelFactoryESt14default_deleteIS9_EE
-   fun:_ZN10tensorflow14kernel_factory17OpKernelRegistrarC1EPKNS_9KernelDefEN4absl14lts_2020_02_2511string_viewEPFPNS_8OpKernelEPNS_20OpKernelConstructionEE
-   fun:_Z41__static_initialization_and_destruction_0ii
-   fun:_GLOBAL__sub_I_dataset.cc
-}
 {
    <tensorflow_full>
    Memcheck:Leak
@@ -9909,6 +9229,24 @@
    fun:_ZN6google8protobuf16RepeatedPtrFieldIN10tensorflow24KernelDef_AttrConstraintEE9MergeFromERKS4_
    fun:_ZN6google8protobuf16RepeatedPtrFieldIN10tensorflow24KernelDef_AttrConstraintEEC1ERKS4_
 }
+{
+   <tensorflow_full>
+   Memcheck:Leak
+   match-leak-kinds: reachable
+   fun:_Znwm
+   fun:_ZN9__gnu_cxx13new_allocatorISt8functionIFN10tensorflow6StatusEPNS2_18OpRegistrationDataEEEE8allocateEmPKv
+   fun:_ZNSt16allocator_traitsISaISt8functionIFN10tensorflow6StatusEPNS1_18OpRegistrationDataEEEEE8allocateERS7_m
+   fun:_ZNSt12_Vector_baseISt8functionIFN10tensorflow6StatusEPNS1_18OpRegistrationDataEEESaIS6_EE11_M_allocateEm
+   fun:_ZNSt6vectorISt8functionIFN10tensorflow6StatusEPNS1_18OpRegistrationDataEEESaIS6_EE17_M_realloc_insertIJRKS6_EEEvN9__gnu_cxx17__normal_iteratorIPS6_S8_EEDpOT_
+   fun:_ZNSt6vectorISt8functionIFN10tensorflow6StatusEPNS1_18OpRegistrationDataEEESaIS6_EE9push_backERKS6_
+   fun:_ZN10tensorflow10OpRegistry8RegisterERKSt8functionIFNS_6StatusEPNS_18OpRegistrationDataEEE
+   fun:_ZN10tensorflow11register_op20OpDefBuilderReceiverC1ERKNS0_19OpDefBuilderWrapperILb1EEE
+   fun:_Z41__static_initialization_and_destruction_0ii
+   fun:_GLOBAL__sub_I_dataset_ops.cc
+   fun:call_init.part.0
+   fun:call_init
+   fun:_dl_init
+}
 {
    <tensorflow_full>
    Memcheck:Leak

tests/test_value_range.py

@@ -2,6 +2,7 @@ import unittest
 
 import numpy as np
 import tensorflow as tf
+import tensorflow.compat.v1 as tfv1
 from deepspeech_training.util.helpers import ValueRange, get_value_range, pick_value_from_range, tf_pick_value_from_range
 
 
@@ -59,16 +60,16 @@ class TestValueRange(unittest.TestCase):
 
 class TestPickValueFromFixedRange(unittest.TestCase):
     def __init__(self, *args, **kwargs):
-        super(TestPickValueFromFixedRange, self).__init__(*args, **kwargs)
-        self.session = tf.Session()
-        self.clock_ph = tf.placeholder(dtype=tf.float64, name='clock')
+        super().__init__(*args, **kwargs)
+        self.session = tfv1.Session()
 
     def _ending_tester(self, value_range, clock, expected):
-        with tf.Session() as session:
-            tf_pick = tf_pick_value_from_range(value_range, clock=self.clock_ph)
+        with self.session as session:
+            clock_ph = tfv1.placeholder(dtype=tf.float64, name='clock')
+            tf_pick = tf_pick_value_from_range(value_range, clock=clock_ph)
 
             def run_pick(_, c):
-                return session.run(tf_pick, feed_dict={self.clock_ph: c})
+                return session.run(tf_pick, feed_dict={clock_ph: c})
 
             is_int = isinstance(value_range.start, int)
             for pick, int_type, float_type in [(pick_value_from_range, int, float), (run_pick, np.int32, np.float32)]:
@@ -97,16 +98,16 @@ class TestPickValueFromFixedRange(unittest.TestCase):
 
 class TestPickValueFromRandomizedRange(unittest.TestCase):
     def __init__(self, *args, **kwargs):
-        super(TestPickValueFromRandomizedRange, self).__init__(*args, **kwargs)
-        self.session = tf.Session()
-        self.clock_ph = tf.placeholder(dtype=tf.float64, name='clock')
+        super().__init__(*args, **kwargs)
+        self.session = tfv1.Session()
 
     def _ending_tester(self, value_range, clock_min, clock_max, expected_min, expected_max):
         with self.session as session:
-            tf_pick = tf_pick_value_from_range(value_range, clock=self.clock_ph)
+            clock_ph = tfv1.placeholder(dtype=tf.float64, name='clock')
+            tf_pick = tf_pick_value_from_range(value_range, clock=clock_ph)
 
             def run_pick(_, c):
-                return session.run(tf_pick, feed_dict={self.clock_ph: c})
+                return session.run(tf_pick, feed_dict={clock_ph: c})
 
             is_int = isinstance(value_range.start, int)
             clock_range = np.arange(clock_min, clock_max, (clock_max - clock_min) / 100.0)

training/deepspeech_training/GRAPH_VERSION

@@ -1 +1 @@
-6
+7

training/deepspeech_training/evaluate.py

@@ -43,47 +43,44 @@ def sparse_tuple_to_texts(sp_tuple, alphabet):
     return [alphabet.Decode(res) for res in results]
 
 
-def evaluate(test_csvs, create_model):
+def evaluate(test_csvs, model_ctor):
     if FLAGS.scorer_path:
         scorer = Scorer(FLAGS.lm_alpha, FLAGS.lm_beta,
                         FLAGS.scorer_path, Config.alphabet)
     else:
         scorer = None
 
-    test_sets = [create_dataset([csv],
-                                batch_size=FLAGS.test_batch_size,
-                                train_phase=False,
-                                reverse=FLAGS.reverse_test,
-                                limit=FLAGS.limit_test) for csv in test_csvs]
-    iterator = tfv1.data.Iterator.from_structure(tfv1.data.get_output_types(test_sets[0]),
-                                                 tfv1.data.get_output_shapes(test_sets[0]),
-                                                 output_classes=tfv1.data.get_output_classes(test_sets[0]))
-    test_init_ops = [iterator.make_initializer(test_set) for test_set in test_sets]
-
-    batch_wav_filename, (batch_x, batch_x_len), batch_y = iterator.get_next()
-
-    # One rate per layer
-    no_dropout = [None] * 6
-    logits, _ = create_model(batch_x=batch_x,
-                             seq_length=batch_x_len,
-                             dropout=no_dropout)
-
-    # Transpose to batch major and apply softmax for decoder
-    transposed = tf.nn.softmax(tf.transpose(a=logits, perm=[1, 0, 2]))
-
-    loss = tfv1.nn.ctc_loss(labels=batch_y,
-                            inputs=logits,
-                            sequence_length=batch_x_len)
-
-    tfv1.train.get_or_create_global_step()
-
-    # Get number of accessible CPU cores for this process
-    try:
-        num_processes = cpu_count()
-    except NotImplementedError:
-        num_processes = 1
-
     with tfv1.Session(config=Config.session_config) as session:
+        test_sets = [create_dataset([csv],
+                                    batch_size=FLAGS.test_batch_size,
+                                    train_phase=False,
+                                    reverse=FLAGS.reverse_test,
+                                    limit=FLAGS.limit_test) for csv in test_csvs]
+        iterator = tfv1.data.Iterator.from_structure(tfv1.data.get_output_types(test_sets[0]),
+                                                     tfv1.data.get_output_shapes(test_sets[0]),
+                                                     output_classes=tfv1.data.get_output_classes(test_sets[0]))
+        test_init_ops = [iterator.make_initializer(test_set) for test_set in test_sets]
+
+        batch_wav_filename, (batch_x, batch_x_len), batch_y = iterator.get_next()
+
+        model = model_ctor()
+        logits, _ = model(batch_x)
+
+        # Apply softmax and transpose to batch major for batch decoder
+        transposed = tf.transpose(tf.nn.softmax(logits), [1, 0, 2])
+
+        loss = tfv1.nn.ctc_loss(labels=batch_y,
+                                inputs=logits,
+                                sequence_length=batch_x_len)
+
+        tfv1.train.get_or_create_global_step()
+
+        # Get number of accessible CPU cores for this process
+        try:
+            num_processes = cpu_count()
+        except NotImplementedError:
+            num_processes = 1
+
         load_graph_for_evaluation(session)
 
         def run_test(init_op, dataset):
@@ -141,8 +138,8 @@ def main(_):
                   'the --test_files flag.')
         sys.exit(1)
 
-    from .train import create_model # pylint: disable=cyclic-import,import-outside-toplevel
-    samples = evaluate(FLAGS.test_files.split(','), create_model)
+    from .train import Model # pylint: disable=cyclic-import,import-outside-toplevel
+    samples = evaluate(FLAGS.test_files.split(','), Model)
 
     if FLAGS.test_output_file:
         save_samples_json(samples, FLAGS.test_output_file)

training/deepspeech_training/train.py

@@ -24,6 +24,7 @@ tfv1.logging.set_verbosity({
     '3': tfv1.logging.ERROR
 }.get(DESIRED_LOG_LEVEL))
 
+from collections import defaultdict
 from datetime import datetime
 from ds_ctcdecoder import ctc_beam_search_decoder, Scorer
 from .evaluate import evaluate
@@ -35,28 +36,16 @@ from .util.feeding import create_dataset, audio_to_features, audiofile_to_featur
 from .util.flags import create_flags, FLAGS
 from .util.helpers import check_ctcdecoder_version, ExceptionBox
 from .util.logging import create_progressbar, log_debug, log_error, log_info, log_progress, log_warn
-from .util.io import open_remote, remove_remote, listdir_remote, is_remote_path, isdir_remote
+from .util.io import open_remote, remove_remote, rmtree_remote, listdir_remote, is_remote_path, isdir_remote
 
 check_ctcdecoder_version()
 
 # Graph Creation
 # ==============
 
-def variable_on_cpu(name, shape, initializer):
-    r"""
-    Next we concern ourselves with graph creation.
-    However, before we do so we must introduce a utility function ``variable_on_cpu()``
-    used to create a variable in CPU memory.
-    """
-    # Use the /cpu:0 device for scoped operations
-    with tf.device(Config.cpu_device):
-        # Create or get apropos variable
-        var = tfv1.get_variable(name=name, shape=shape, initializer=initializer)
-    return var
-
 
 def create_overlapping_windows(batch_x):
-    batch_size = tf.shape(input=batch_x)[0]
+    batch_size = tf.shape(batch_x)[0]
     window_width = 2 * Config.n_context + 1
     num_channels = Config.n_input
 
@@ -75,145 +64,101 @@ def create_overlapping_windows(batch_x):
     return batch_x
 
 
-def dense(name, x, units, dropout_rate=None, relu=True, layer_norm=False):
-    with tfv1.variable_scope(name):
-        bias = variable_on_cpu('bias', [units], tfv1.zeros_initializer())
-        weights = variable_on_cpu('weights', [x.shape[-1], units], tfv1.keras.initializers.VarianceScaling(scale=1.0, mode="fan_avg", distribution="uniform"))
+class CreateOverlappingWindows(tf.keras.Model):
+    def __init__(self):
+        super(CreateOverlappingWindows, self).__init__()
+        window_width = 2 * Config.n_context + 1
+        num_channels = Config.n_input
+        identity = np.eye(window_width * num_channels).reshape(
+            window_width, num_channels, window_width * num_channels
+        )
+        self.identity_filter = tf.constant(identity, tf.float32)
+        self.reshape_layer = tf.keras.layers.Reshape((-1, window_width * num_channels))
 
-    output = tf.nn.bias_add(tf.matmul(x, weights), bias)
+    def call(self, x):
+        x = tf.nn.conv1d(
+            input=x, filters=self.identity_filter, stride=1, padding="SAME"
+        )
+        return self.reshape_layer(x)
 
-    if relu:
-        output = tf.minimum(tf.nn.relu(output), FLAGS.relu_clip)
-
-    if layer_norm:
-        with tfv1.variable_scope(name):
-            output = tf.contrib.layers.layer_norm(output)
-
-    if dropout_rate is not None:
-        output = tf.nn.dropout(output, rate=dropout_rate)
-
-    return output
+    def reshape(self, x):
+        return self.reshape_layer(x)
 
 
-def rnn_impl_lstmblockfusedcell(x, seq_length, previous_state, reuse):
-    with tfv1.variable_scope('cudnn_lstm/rnn/multi_rnn_cell/cell_0'):
-        fw_cell = tf.contrib.rnn.LSTMBlockFusedCell(Config.n_cell_dim,
-                                                    forget_bias=0,
-                                                    reuse=reuse,
-                                                    name='cudnn_compatible_lstm_cell')
+class Dense(tf.keras.layers.Dense):
+    def __init__(self, units, dropout_rate, layer_norm, **kwargs):
+        super().__init__(units, **kwargs)
 
-        output, output_state = fw_cell(inputs=x,
-                                       dtype=tf.float32,
-                                       sequence_length=seq_length,
-                                       initial_state=previous_state)
+        self.dropout = tf.keras.layers.Dropout(dropout_rate) if dropout_rate != 0. else tf.keras.layers.Lambda(lambda x: x)
+        self.layer_norm = tf.keras.layers.LayerNormalization() if layer_norm else tf.keras.layers.Lambda(lambda x: x)
 
-    return output, output_state
+    def call(self, x):
+        return self.dropout(self.layer_norm(super().call(x)))
 
 
-def rnn_impl_cudnn_rnn(x, seq_length, previous_state, _):
-    assert previous_state is None # 'Passing previous state not supported with CuDNN backend'
+class Model(tf.keras.Model):
+    def __init__(self, dropout_rates=None, overlap=True, unroll=False, masking=True):
+        super().__init__(name='DeepSpeech_v{}'.format(int(file_relative_read('GRAPH_VERSION').strip())))
 
-    # Hack: CudnnLSTM works similarly to Keras layers in that when you instantiate
-    # the object it creates the variables, and then you just call it several times
-    # to enable variable re-use. Because all of our code is structure in an old
-    # school TensorFlow structure where you can just call tf.get_variable again with
-    # reuse=True to reuse variables, we can't easily make use of the object oriented
-    # way CudnnLSTM is implemented, so we save a singleton instance in the function,
-    # emulating a static function variable.
-    if not rnn_impl_cudnn_rnn.cell:
-        # Forward direction cell:
-        fw_cell = tf.contrib.cudnn_rnn.CudnnLSTM(num_layers=1,
-                                                 num_units=Config.n_cell_dim,
-                                                 input_mode='linear_input',
-                                                 direction='unidirectional',
-                                                 dtype=tf.float32)
-        rnn_impl_cudnn_rnn.cell = fw_cell
+        if dropout_rates is None:
+            dropout_rates = defaultdict(lambda: 0.)
 
-    output, output_state = rnn_impl_cudnn_rnn.cell(inputs=x,
-                                                   sequence_lengths=seq_length)
+        self.overlap_layer = CreateOverlappingWindows()
+        self.overlap_op = self.overlap_layer if overlap else self.overlap_layer.reshape
 
-    return output, output_state
+        self.mask = tf.keras.layers.Masking() if masking else tf.keras.layers.Lambda(lambda x: x)
 
-rnn_impl_cudnn_rnn.cell = None
+        def clipped_relu(x):
+            return tf.minimum(tf.nn.relu(x), FLAGS.relu_clip)
 
+        self.dense1 = Dense(Config.n_hidden_1, dropout_rate=dropout_rates[0], activation=clipped_relu, layer_norm=FLAGS.layer_norm, name='dense1')
+        self.dense2 = Dense(Config.n_hidden_2, dropout_rate=dropout_rates[1], activation=clipped_relu, layer_norm=FLAGS.layer_norm, name='dense2')
+        self.dense3 = Dense(Config.n_hidden_3, dropout_rate=dropout_rates[2], activation=clipped_relu, layer_norm=FLAGS.layer_norm, name='dense3')
 
-def rnn_impl_static_rnn(x, seq_length, previous_state, reuse):
-    with tfv1.variable_scope('cudnn_lstm/rnn/multi_rnn_cell'):
-        # Forward direction cell:
-        fw_cell = tfv1.nn.rnn_cell.LSTMCell(Config.n_cell_dim,
-                                            forget_bias=0,
-                                            reuse=reuse,
-                                            name='cudnn_compatible_lstm_cell')
+        self.lstm = tf.keras.layers.LSTM(Config.n_cell_dim, return_sequences=True, return_state=True, unroll=unroll)
 
-        # Split rank N tensor into list of rank N-1 tensors
-        x = [x[l] for l in range(x.shape[0])]
+        self.dense5 = Dense(Config.n_hidden_5, dropout_rate=dropout_rates[4], activation=clipped_relu, layer_norm=FLAGS.layer_norm, name='dense5')
+        self.dense6 = Dense(Config.n_hidden_6, dropout_rate=0., activation='linear', layer_norm=False, name='dense6')
 
-        output, output_state = tfv1.nn.static_rnn(cell=fw_cell,
-                                                  inputs=x,
-                                                  sequence_length=seq_length,
-                                                  initial_state=previous_state,
-                                                  dtype=tf.float32,
-                                                  scope='cell_0')
+    def call(self, batch_x, previous_state=None):
+        layers = {}
 
-        output = tf.concat(output, 0)
-
-    return output, output_state
-
-
-def create_model(batch_x, seq_length, dropout, reuse=False, batch_size=None, previous_state=None, overlap=True, rnn_impl=rnn_impl_lstmblockfusedcell):
-    layers = {}
-
-    # Input shape: [batch_size, n_steps, n_input + 2*n_input*n_context]
-    if not batch_size:
+        # Input shape: [batch_size, n_steps (dynamic), n_input + 2*n_input*n_context]
         batch_size = tf.shape(input=batch_x)[0]
 
-    # Create overlapping feature windows if needed
-    if overlap:
-        batch_x = create_overlapping_windows(batch_x)
+        # Create overlapping feature windows if needed
+        batch_x = self.overlap_op(batch_x)
 
-    # Reshaping `batch_x` to a tensor with shape `[n_steps*batch_size, n_input + 2*n_input*n_context]`.
-    # This is done to prepare the batch for input into the first layer which expects a tensor of rank `2`.
+        # Apply sequence masking
+        batch_x = self.mask(batch_x)
 
-    # Permute n_steps and batch_size
-    batch_x = tf.transpose(a=batch_x, perm=[1, 0, 2, 3])
-    # Reshape to prepare input for first layer
-    batch_x = tf.reshape(batch_x, [-1, Config.n_input + 2*Config.n_input*Config.n_context]) # (n_steps*batch_size, n_input + 2*n_input*n_context)
-    layers['input_reshaped'] = batch_x
+        # Apply three dense layers with clipped RELU activation and dropout.
+        layers['layer_1'] = layer_1 = self.dense1(batch_x)
+        layers['layer_2'] = layer_2 = self.dense2(layer_1)
+        layers['layer_3'] = layer_3 = self.dense3(layer_2)
 
-    # The next three blocks will pass `batch_x` through three hidden layers with
-    # clipped RELU activation and dropout.
-    layers['layer_1'] = layer_1 = dense('layer_1', batch_x, Config.n_hidden_1, dropout_rate=dropout[0], layer_norm=FLAGS.layer_norm)
-    layers['layer_2'] = layer_2 = dense('layer_2', layer_1, Config.n_hidden_2, dropout_rate=dropout[1], layer_norm=FLAGS.layer_norm)
-    layers['layer_3'] = layer_3 = dense('layer_3', layer_2, Config.n_hidden_3, dropout_rate=dropout[2], layer_norm=FLAGS.layer_norm)
+        # RNN layer
+        output, output_state_h, output_state_c = self.lstm(layer_3, previous_state)
+        layers['rnn_output'] = output
+        layers['rnn_output_state_h'] = output_state_h
+        layers['rnn_output_state_c'] = output_state_c
 
-    # `layer_3` is now reshaped into `[n_steps, batch_size, 2*n_cell_dim]`,
-    # as the LSTM RNN expects its input to be of shape `[max_time, batch_size, input_size]`.
-    layer_3 = tf.reshape(layer_3, [-1, batch_size, Config.n_hidden_3])
+        # Now we feed `output` to the fifth dense layer with clipped RELU activation and dropout.
+        layers['layer_5'] = layer_5 = self.dense5(output)
 
-    # Run through parametrized RNN implementation, as we use different RNNs
-    # for training and inference
-    output, output_state = rnn_impl(layer_3, seq_length, previous_state, reuse)
+        # Now we apply a final linear layer creating `n_classes` dimensional vectors, the logits.
+        layers['layer_6'] = layer_6 = self.dense6(layer_5)
 
-    # Reshape output from a tensor of shape [n_steps, batch_size, n_cell_dim]
-    # to a tensor of shape [n_steps*batch_size, n_cell_dim]
-    output = tf.reshape(output, [-1, Config.n_cell_dim])
-    layers['rnn_output'] = output
-    layers['rnn_output_state'] = output_state
+        # Finally we reshape layer_6 from a tensor of shape [batch_size*n_steps, n_hidden_6]
+        # to the slightly more useful shape [n_steps, batch_size, n_hidden_6].
+        # And transpose to time major.
+        output = tf.reshape(layer_6, [batch_size, -1, Config.n_hidden_6])
+        output = tf.transpose(output, [1, 0, 2], name='raw_logits')
+        layers['raw_logits'] = output
 
-    # Now we feed `output` to the fifth hidden layer with clipped RELU activation
-    layers['layer_5'] = layer_5 = dense('layer_5', output, Config.n_hidden_5, dropout_rate=dropout[5], layer_norm=FLAGS.layer_norm)
+        # Output shape: [batch_size, n_steps, n_hidden_6]
+        return output, layers
 
-    # Now we apply a final linear layer creating `n_classes` dimensional vectors, the logits.
-    layers['layer_6'] = layer_6 = dense('layer_6', layer_5, Config.n_hidden_6, relu=False)
-
-    # Finally we reshape layer_6 from a tensor of shape [n_steps*batch_size, n_hidden_6]
-    # to the slightly more useful shape [n_steps, batch_size, n_hidden_6].
-    # Note, that this differs from the input in that it is time-major.
-    layer_6 = tf.reshape(layer_6, [-1, batch_size, Config.n_hidden_6], name='raw_logits')
-    layers['raw_logits'] = layer_6
-
-    # Output shape: [n_steps, batch_size, n_hidden_6]
-    return layer_6, layers
 
 
 # Accuracy and Loss
@@ -226,7 +171,7 @@ def create_model(batch_x, seq_length, dropout, reuse=False, batch_size=None, pre
 # Conveniently, this loss function is implemented in TensorFlow.
 # Thus, we can simply make use of this implementation to define our loss.
 
-def calculate_mean_edit_distance_and_loss(iterator, dropout, reuse):
+def calculate_mean_edit_distance_and_loss(model, iterator):
     r'''
     This routine beam search decodes a mini-batch and calculates the loss and mean edit distance.
     Next to total and average loss it returns the mean edit distance,
@@ -235,13 +180,8 @@ def calculate_mean_edit_distance_and_loss(iterator, dropout, reuse):
     # Obtain the next batch of data
     batch_filenames, (batch_x, batch_seq_len), batch_y = iterator.get_next()
 
-    if FLAGS.train_cudnn:
-        rnn_impl = rnn_impl_cudnn_rnn
-    else:
-        rnn_impl = rnn_impl_lstmblockfusedcell
-
     # Calculate the logits of the batch
-    logits, _ = create_model(batch_x, batch_seq_len, dropout, reuse=reuse, rnn_impl=rnn_impl)
+    logits, _ = model(batch_x)
 
     # Compute the CTC loss using TensorFlow's `ctc_loss`
     total_loss = tfv1.nn.ctc_loss(labels=batch_y, inputs=logits, sequence_length=batch_seq_len)
@@ -289,7 +229,7 @@ def create_optimizer(learning_rate_var):
 # on which all operations within the tower execute.
 # For example, all operations of 'tower 0' could execute on the first GPU `tf.device('/gpu:0')`.
 
-def get_tower_results(iterator, optimizer, dropout_rates):
+def get_tower_results(model, iterator, optimizer):
     r'''
     With this preliminary step out of the way, we can for each GPU introduce a
     tower for which's batch we calculate and return the optimization gradients
@@ -310,25 +250,20 @@ def get_tower_results(iterator, optimizer, dropout_rates):
             # Execute operations of tower i on device i
             device = Config.available_devices[i]
             with tf.device(device):
-                # Create a scope for all operations of tower i
-                with tf.name_scope('tower_%d' % i):
-                    # Calculate the avg_loss and mean_edit_distance and retrieve the decoded
-                    # batch along with the original batch's labels (Y) of this tower
-                    avg_loss, non_finite_files = calculate_mean_edit_distance_and_loss(iterator, dropout_rates, reuse=i > 0)
+                # Calculate the avg_loss and mean_edit_distance and retrieve the decoded
+                # batch along with the original batch's labels (Y) of this tower
+                avg_loss, non_finite_files = calculate_mean_edit_distance_and_loss(model, iterator)
 
-                    # Allow for variables to be re-used by the next tower
-                    tfv1.get_variable_scope().reuse_variables()
+                # Retain tower's avg losses
+                tower_avg_losses.append(avg_loss)
 
-                    # Retain tower's avg losses
-                    tower_avg_losses.append(avg_loss)
+                # Compute gradients for model parameters using tower's mini-batch
+                gradients = optimizer.compute_gradients(avg_loss)
 
-                    # Compute gradients for model parameters using tower's mini-batch
-                    gradients = optimizer.compute_gradients(avg_loss)
+                # Retain tower's gradients
+                tower_gradients.append(gradients)
 
-                    # Retain tower's gradients
-                    tower_gradients.append(gradients)
-
-                    tower_non_finite_files.append(non_finite_files)
+                tower_non_finite_files.append(non_finite_files)
 
     avg_loss_across_towers = tf.reduce_mean(input_tensor=tower_avg_losses, axis=0)
     tfv1.summary.scalar(name='step_loss', tensor=avg_loss_across_towers, collections=['step_summaries'])
@@ -413,114 +348,117 @@ def log_grads_and_vars(grads_and_vars):
 def train():
     exception_box = ExceptionBox()
 
-    # Create training and validation datasets
-    train_set = create_dataset(FLAGS.train_files.split(','),
-                               batch_size=FLAGS.train_batch_size,
-                               epochs=FLAGS.epochs,
-                               augmentations=Config.augmentations,
-                               cache_path=FLAGS.feature_cache,
-                               train_phase=True,
-                               exception_box=exception_box,
-                               process_ahead=len(Config.available_devices) * FLAGS.train_batch_size * 2,
-                               reverse=FLAGS.reverse_train,
-                               limit=FLAGS.limit_train,
-                               buffering=FLAGS.read_buffer)
+    with tfv1.Session(config=Config.session_config) as session:
+        log_debug('Session opened.')
+        tfv1.keras.backend.set_session(session)
 
-    iterator = tfv1.data.Iterator.from_structure(tfv1.data.get_output_types(train_set),
-                                                 tfv1.data.get_output_shapes(train_set),
-                                                 output_classes=tfv1.data.get_output_classes(train_set))
-
-    # Make initialization ops for switching between the two sets
-    train_init_op = iterator.make_initializer(train_set)
-
-    if FLAGS.dev_files:
-        dev_sources = FLAGS.dev_files.split(',')
-        dev_sets = [create_dataset([source],
-                                   batch_size=FLAGS.dev_batch_size,
-                                   train_phase=False,
+        # Create training and validation datasets
+        train_set = create_dataset(FLAGS.train_files.split(','),
+                                   batch_size=FLAGS.train_batch_size,
+                                   epochs=FLAGS.epochs,
+                                   augmentations=Config.augmentations,
+                                   cache_path=FLAGS.feature_cache,
+                                   train_phase=True,
                                    exception_box=exception_box,
-                                   process_ahead=len(Config.available_devices) * FLAGS.dev_batch_size * 2,
-                                   reverse=FLAGS.reverse_dev,
-                                   limit=FLAGS.limit_dev,
-                                   buffering=FLAGS.read_buffer) for source in dev_sources]
-        dev_init_ops = [iterator.make_initializer(dev_set) for dev_set in dev_sets]
+                                   process_ahead=len(Config.available_devices) * FLAGS.train_batch_size * 2,
+                                   reverse=FLAGS.reverse_train,
+                                   limit=FLAGS.limit_train,
+                                   buffering=FLAGS.read_buffer)
 
-    if FLAGS.metrics_files:
-        metrics_sources = FLAGS.metrics_files.split(',')
-        metrics_sets = [create_dataset([source],
+        iterator = tfv1.data.Iterator.from_structure(tfv1.data.get_output_types(train_set),
+                                                     tfv1.data.get_output_shapes(train_set),
+                                                     output_classes=tfv1.data.get_output_classes(train_set))
+
+        # Make initialization ops for switching between the two sets
+        train_init_op = iterator.make_initializer(train_set)
+
+        if FLAGS.dev_files:
+            dev_sources = FLAGS.dev_files.split(',')
+            dev_sets = [create_dataset([source],
                                        batch_size=FLAGS.dev_batch_size,
                                        train_phase=False,
                                        exception_box=exception_box,
                                        process_ahead=len(Config.available_devices) * FLAGS.dev_batch_size * 2,
                                        reverse=FLAGS.reverse_dev,
                                        limit=FLAGS.limit_dev,
-                                       buffering=FLAGS.read_buffer) for source in metrics_sources]
-        metrics_init_ops = [iterator.make_initializer(metrics_set) for metrics_set in metrics_sets]
+                                       buffering=FLAGS.read_buffer) for source in dev_sources]
+            dev_init_ops = [iterator.make_initializer(dev_set) for dev_set in dev_sets]
 
-    # Dropout
-    dropout_rates = [tfv1.placeholder(tf.float32, name='dropout_{}'.format(i)) for i in range(6)]
-    dropout_feed_dict = {
-        dropout_rates[0]: FLAGS.dropout_rate,
-        dropout_rates[1]: FLAGS.dropout_rate2,
-        dropout_rates[2]: FLAGS.dropout_rate3,
-        dropout_rates[3]: FLAGS.dropout_rate4,
-        dropout_rates[4]: FLAGS.dropout_rate5,
-        dropout_rates[5]: FLAGS.dropout_rate6,
-    }
-    no_dropout_feed_dict = {
-        rate: 0. for rate in dropout_rates
-    }
+        if FLAGS.metrics_files:
+            metrics_sources = FLAGS.metrics_files.split(',')
+            metrics_sets = [create_dataset([source],
+                                           batch_size=FLAGS.dev_batch_size,
+                                           train_phase=False,
+                                           exception_box=exception_box,
+                                           process_ahead=len(Config.available_devices) * FLAGS.dev_batch_size * 2,
+                                           reverse=FLAGS.reverse_dev,
+                                           limit=FLAGS.limit_dev,
+                                           buffering=FLAGS.read_buffer) for source in metrics_sources]
+            metrics_init_ops = [iterator.make_initializer(metrics_set) for metrics_set in metrics_sets]
 
-    # Building the graph
-    learning_rate_var = tfv1.get_variable('learning_rate', initializer=FLAGS.learning_rate, trainable=False)
-    reduce_learning_rate_op = learning_rate_var.assign(tf.multiply(learning_rate_var, FLAGS.plateau_reduction))
-    optimizer = create_optimizer(learning_rate_var)
+        # Dropout
+        dropout_rates = [tfv1.placeholder(tf.float32, name='dropout_{}'.format(i)) for i in range(6)]
+        dropout_feed_dict = {
+            dropout_rates[0]: FLAGS.dropout_rate,
+            dropout_rates[1]: FLAGS.dropout_rate2,
+            dropout_rates[2]: FLAGS.dropout_rate3,
+            dropout_rates[3]: FLAGS.dropout_rate4,
+            dropout_rates[4]: FLAGS.dropout_rate5,
+            dropout_rates[5]: FLAGS.dropout_rate6,
+        }
+        no_dropout_feed_dict = {
+            rate: 0. for rate in dropout_rates
+        }
 
-    # Enable mixed precision training
-    if FLAGS.automatic_mixed_precision:
-        log_info('Enabling automatic mixed precision training.')
-        optimizer = tfv1.train.experimental.enable_mixed_precision_graph_rewrite(optimizer)
+        # Building the graph
+        learning_rate_var = tfv1.get_variable('learning_rate', initializer=FLAGS.learning_rate, trainable=False)
+        reduce_learning_rate_op = learning_rate_var.assign(tf.multiply(learning_rate_var, FLAGS.plateau_reduction))
+        optimizer = create_optimizer(learning_rate_var)
 
-    gradients, loss, non_finite_files = get_tower_results(iterator, optimizer, dropout_rates)
+        # Enable mixed precision training
+        if FLAGS.automatic_mixed_precision:
+            log_info('Enabling automatic mixed precision training.')
+            optimizer = tfv1.train.experimental.enable_mixed_precision_graph_rewrite(optimizer)
 
-    # Average tower gradients across GPUs
-    avg_tower_gradients = average_gradients(gradients)
-    log_grads_and_vars(avg_tower_gradients)
+        model = Model(dropout_rates)
 
-    # global_step is automagically incremented by the optimizer
-    global_step = tfv1.train.get_or_create_global_step()
-    apply_gradient_op = optimizer.apply_gradients(avg_tower_gradients, global_step=global_step)
+        gradients, loss, non_finite_files = get_tower_results(model, iterator, optimizer)
 
-    # Summaries
-    step_summaries_op = tfv1.summary.merge_all('step_summaries')
-    step_summary_writers = {
-        'train': tfv1.summary.FileWriter(os.path.join(FLAGS.summary_dir, 'train'), max_queue=120),
-        'dev': tfv1.summary.FileWriter(os.path.join(FLAGS.summary_dir, 'dev'), max_queue=120),
-        'metrics': tfv1.summary.FileWriter(os.path.join(FLAGS.summary_dir, 'metrics'), max_queue=120),
-    }
+        # Average tower gradients across GPUs
+        avg_tower_gradients = average_gradients(gradients)
+        log_grads_and_vars(avg_tower_gradients)
 
-    human_readable_set_names = {
-        'train': 'Training',
-        'dev': 'Validation',
-        'metrics': 'Metrics',
-    }
+        # global_step is incremented by the optimizer
+        global_step = tfv1.train.get_or_create_global_step()
+        apply_gradient_op = optimizer.apply_gradients(avg_tower_gradients, global_step)
 
-    # Checkpointing
-    checkpoint_saver = tfv1.train.Saver(max_to_keep=FLAGS.max_to_keep)
-    checkpoint_path = os.path.join(FLAGS.save_checkpoint_dir, 'train')
+        # Summaries
+        step_summaries_op = tfv1.summary.merge_all('step_summaries')
+        step_summary_writers = {
+            'train': tfv1.summary.FileWriter(os.path.join(FLAGS.summary_dir, 'train'), max_queue=120),
+            'dev': tfv1.summary.FileWriter(os.path.join(FLAGS.summary_dir, 'dev'), max_queue=120),
+            'metrics': tfv1.summary.FileWriter(os.path.join(FLAGS.summary_dir, 'metrics'), max_queue=120),
+        }
 
-    best_dev_saver = tfv1.train.Saver(max_to_keep=1)
-    best_dev_path = os.path.join(FLAGS.save_checkpoint_dir, 'best_dev')
+        human_readable_set_names = {
+            'train': 'Training',
+            'dev': 'Validation',
+            'metrics': 'Metrics',
+        }
 
-    # Save flags next to checkpoints
-    if not is_remote_path(FLAGS.save_checkpoint_dir):
-        os.makedirs(FLAGS.save_checkpoint_dir, exist_ok=True)
-    flags_file = os.path.join(FLAGS.save_checkpoint_dir, 'flags.txt')
-    with open_remote(flags_file, 'w') as fout:
-        fout.write(FLAGS.flags_into_string())
+        # Checkpointing
+        checkpoint_saver = tfv1.train.Saver(max_to_keep=FLAGS.max_to_keep)
+        checkpoint_path = os.path.join(FLAGS.save_checkpoint_dir, 'train')
 
-    with tfv1.Session(config=Config.session_config) as session:
-        log_debug('Session opened.')
+        best_dev_saver = tfv1.train.Saver(max_to_keep=1)
+        best_dev_path = os.path.join(FLAGS.save_checkpoint_dir, 'best_dev')
+
+        # Save flags next to checkpoints
+        if not is_remote_path(FLAGS.save_checkpoint_dir):
+            os.makedirs(FLAGS.save_checkpoint_dir, exist_ok=True)
+        flags_file = os.path.join(FLAGS.save_checkpoint_dir, 'flags.txt')
+        with open_remote(flags_file, 'w') as fout:
+            fout.write(FLAGS.flags_into_string())
 
         # Prevent further graph changes
         tfv1.get_default_graph().finalize()
@@ -679,7 +617,7 @@ def train():
 
 
 def test():
-    samples = evaluate(FLAGS.test_files.split(','), create_model)
+    samples = evaluate(FLAGS.test_files.split(','), Model)
     if FLAGS.test_output_file:
         save_samples_json(samples, FLAGS.test_output_file)
 
@@ -698,7 +636,6 @@ def create_inference_graph(batch_size=1, n_steps=16, tflite=False):
     # value of n_steps, n_context and n_input. Make sure you update the code
     # there if this shape is changed.
     input_tensor = tfv1.placeholder(tf.float32, [batch_size, n_steps if n_steps > 0 else None, 2 * Config.n_context + 1, Config.n_input], name='input_node')
-    seq_length = tfv1.placeholder(tf.int32, [batch_size], name='input_lengths')
 
     if batch_size <= 0:
         # no state management since n_step is expected to be dynamic too (see below)
@@ -707,23 +644,11 @@ def create_inference_graph(batch_size=1, n_steps=16, tflite=False):
         previous_state_c = tfv1.placeholder(tf.float32, [batch_size, Config.n_cell_dim], name='previous_state_c')
         previous_state_h = tfv1.placeholder(tf.float32, [batch_size, Config.n_cell_dim], name='previous_state_h')
 
-        previous_state = tf.nn.rnn_cell.LSTMStateTuple(previous_state_c, previous_state_h)
+        previous_state = [previous_state_h, previous_state_c]
 
-    # One rate per layer
-    no_dropout = [None] * 6
-
-    if tflite:
-        rnn_impl = rnn_impl_static_rnn
-    else:
-        rnn_impl = rnn_impl_lstmblockfusedcell
-
-    logits, layers = create_model(batch_x=input_tensor,
-                                  batch_size=batch_size,
-                                  seq_length=seq_length if not FLAGS.export_tflite else None,
-                                  dropout=no_dropout,
-                                  previous_state=previous_state,
-                                  overlap=False,
-                                  rnn_impl=rnn_impl)
+    model = Model(overlap=False, unroll=n_steps > 0)
+    logits, layers = model(input_tensor,
+                           previous_state)
 
     # TF Lite runtime will check that input dimensions are 1, 2 or 4
     # by default we get 3, the middle one being batch_size which is forced to
@@ -742,7 +667,6 @@ def create_inference_graph(batch_size=1, n_steps=16, tflite=False):
         return (
             {
                 'input': input_tensor,
-                'input_lengths': seq_length,
             },
             {
                 'outputs': probs,
@@ -750,7 +674,8 @@ def create_inference_graph(batch_size=1, n_steps=16, tflite=False):
             layers
         )
 
-    new_state_c, new_state_h = layers['rnn_output_state']
+    new_state_c = layers['rnn_output_state_c']
+    new_state_h = layers['rnn_output_state_h']
     new_state_c = tf.identity(new_state_c, name='new_state_c')
     new_state_h = tf.identity(new_state_h, name='new_state_h')
 
@@ -761,9 +686,6 @@ def create_inference_graph(batch_size=1, n_steps=16, tflite=False):
         'input_samples': input_samples,
     }
 
-    if not FLAGS.export_tflite:
-        inputs['input_lengths'] = seq_length
-
     outputs = {
         'outputs': probs,
         'new_state_c': new_state_c,
@@ -784,29 +706,29 @@ def export():
     '''
     log_info('Exporting the model...')
 
-    inputs, outputs, _ = create_inference_graph(batch_size=FLAGS.export_batch_size, n_steps=FLAGS.n_steps, tflite=FLAGS.export_tflite)
+    with tfv1.Session() as session:
+        inputs, outputs, _ = create_inference_graph(batch_size=FLAGS.export_batch_size, n_steps=FLAGS.n_steps, tflite=FLAGS.export_tflite)
 
-    graph_version = int(file_relative_read('GRAPH_VERSION').strip())
-    assert graph_version > 0
+        graph_version = int(file_relative_read('GRAPH_VERSION').strip())
+        assert graph_version > 0
 
-    outputs['metadata_version'] = tf.constant([graph_version], name='metadata_version')
-    outputs['metadata_sample_rate'] = tf.constant([FLAGS.audio_sample_rate], name='metadata_sample_rate')
-    outputs['metadata_feature_win_len'] = tf.constant([FLAGS.feature_win_len], name='metadata_feature_win_len')
-    outputs['metadata_feature_win_step'] = tf.constant([FLAGS.feature_win_step], name='metadata_feature_win_step')
-    outputs['metadata_beam_width'] = tf.constant([FLAGS.export_beam_width], name='metadata_beam_width')
-    outputs['metadata_alphabet'] = tf.constant([Config.alphabet.Serialize()], name='metadata_alphabet')
+        outputs['metadata_version'] = tf.constant([graph_version], name='metadata_version')
+        outputs['metadata_sample_rate'] = tf.constant([FLAGS.audio_sample_rate], name='metadata_sample_rate')
+        outputs['metadata_feature_win_len'] = tf.constant([FLAGS.feature_win_len], name='metadata_feature_win_len')
+        outputs['metadata_feature_win_step'] = tf.constant([FLAGS.feature_win_step], name='metadata_feature_win_step')
+        outputs['metadata_beam_width'] = tf.constant([FLAGS.export_beam_width], name='metadata_beam_width')
+        outputs['metadata_alphabet'] = tf.constant([Config.alphabet.Serialize()], name='metadata_alphabet')
 
-    if FLAGS.export_language:
-        outputs['metadata_language'] = tf.constant([FLAGS.export_language.encode('utf-8')], name='metadata_language')
+        if FLAGS.export_language:
+            outputs['metadata_language'] = tf.constant([FLAGS.export_language.encode('utf-8')], name='metadata_language')
 
-    # Prevent further graph changes
-    tfv1.get_default_graph().finalize()
+        # Prevent further graph changes
+        tfv1.get_default_graph().finalize()
 
-    output_names_tensors = [tensor.op.name for tensor in outputs.values() if isinstance(tensor, tf.Tensor)]
-    output_names_ops = [op.name for op in outputs.values() if isinstance(op, tf.Operation)]
-    output_names = output_names_tensors + output_names_ops
+        output_names_tensors = [tensor.op.name for tensor in outputs.values() if isinstance(tensor, tf.Tensor)]
+        output_names_ops = [op.name for op in outputs.values() if isinstance(op, tf.Operation)]
+        output_names = output_names_tensors + output_names_ops
 
-    with tf.Session() as session:
         # Restore variables from checkpoint
         load_graph_for_evaluation(session)
 
@@ -814,7 +736,7 @@ def export():
         if FLAGS.remove_export:
             if isdir_remote(FLAGS.export_dir):
                 log_info('Removing old export')
-                remove_remote(FLAGS.export_dir)
+                rmtree_remote(FLAGS.export_dir)
 
         output_graph_path = os.path.join(FLAGS.export_dir, output_filename)
 
@@ -836,7 +758,9 @@ def export():
         else:
             output_tflite_path = os.path.join(FLAGS.export_dir, output_filename.replace('.pb', '.tflite'))
 
-            converter = tf.lite.TFLiteConverter(frozen_graph, input_tensors=inputs.values(), output_tensors=outputs.values())
+            converter = tfv1.lite.TFLiteConverter.from_session(session, input_tensors=list(inputs.values()), output_tensors=list(outputs.values()))
+            # New converter breaks our export
+            converter.experimental_new_converter = False
             converter.optimizations = [tf.lite.Optimize.DEFAULT]
             # AudioSpectrogram and Mfcc ops are custom but have built-in kernels in TFLite
             converter.allow_custom_ops = True
@@ -889,7 +813,8 @@ def package_zip():
 
 def do_single_file_inference(input_file_path):
     with tfv1.Session(config=Config.session_config) as session:
-        inputs, outputs, _ = create_inference_graph(batch_size=1, n_steps=-1)
+        chunk_size = 16
+        inputs, outputs, _ = create_inference_graph(batch_size=1, n_steps=chunk_size)
 
         # Restore variables from training checkpoint
         load_graph_for_evaluation(session)
@@ -900,20 +825,28 @@ def do_single_file_inference(input_file_path):
 
         # Add batch dimension
         features = tf.expand_dims(features, 0)
-        features_len = tf.expand_dims(features_len, 0)
 
         # Evaluate
         features = create_overlapping_windows(features).eval(session=session)
-        features_len = features_len.eval(session=session)
 
-        probs = outputs['outputs'].eval(feed_dict={
-            inputs['input']: features,
-            inputs['input_lengths']: features_len,
-            inputs['previous_state_c']: previous_state_c,
-            inputs['previous_state_h']: previous_state_h,
-        }, session=session)
+        # Run through acoustic models in chunks to simulate behavior of native client
+        probs = []
+        for i in range(0, features.shape[1], chunk_size):
+            input_chunk = features[:, i:i + chunk_size, ...]
+            chunk_len = input_chunk.shape[1]
+            input_chunk = np.pad(input_chunk, ((0, 0), (0, chunk_size-chunk_len), (0, 0), (0, 0)))
+            probs_chunk, new_state_c, new_state_h = session.run(
+                (outputs['outputs'], outputs['new_state_c'], outputs['new_state_h']),
+                feed_dict={
+                    inputs['input']: input_chunk,
+                    inputs['previous_state_c']: previous_state_c,
+                    inputs['previous_state_h']: previous_state_h,
+                })
+            probs.append(probs_chunk[:chunk_len,...])
+            previous_state_c = new_state_c
+            previous_state_h = new_state_h
 
-        probs = np.squeeze(probs)
+        probs = np.squeeze(np.concatenate(probs))
 
         if FLAGS.scorer_path:
             scorer = Scorer(FLAGS.lm_alpha, FLAGS.lm_beta,

training/deepspeech_training/util/augmentations.py

@@ -1,4 +1,3 @@
-
 import os
 import re
 import math
@@ -388,10 +387,11 @@ class Pitch(GraphAugmentation):
 
     def apply(self, tensor, transcript=None, clock=0.0):
         import tensorflow as tf  # pylint: disable=import-outside-toplevel
+        import tensorflow.compat.v1 as tfv1  # pylint: disable=import-outside-toplevel
         original_shape = tf.shape(tensor)
         pitch = tf_pick_value_from_range(self.pitch, clock=clock)
         new_freq_size = tf.cast(tf.cast(original_shape[2], tf.float32) * pitch, tf.int32)
-        spectrogram_aug = tf.image.resize_bilinear(tf.expand_dims(tensor, -1), [original_shape[1], new_freq_size])
+        spectrogram_aug = tfv1.image.resize_bilinear(tf.expand_dims(tensor, -1), [original_shape[1], new_freq_size])
         spectrogram_aug = tf.image.crop_to_bounding_box(spectrogram_aug,
                                                         offset_height=0,
                                                         offset_width=0,
@@ -416,6 +416,7 @@ class Tempo(GraphAugmentation):
 
     def apply(self, tensor, transcript=None, clock=0.0):
         import tensorflow as tf  # pylint: disable=import-outside-toplevel
+        import tensorflow.compat.v1 as tfv1  # pylint: disable=import-outside-toplevel
         factor = tf_pick_value_from_range(self.factor, clock=clock)
         original_shape = tf.shape(tensor)
         new_time_size = tf.cast(tf.cast(original_shape[1], tf.float32) / factor, tf.int32)
@@ -423,7 +424,7 @@ class Tempo(GraphAugmentation):
             new_time_size = tf.math.maximum(new_time_size, tf.shape(transcript)[1])
         if self.max_time > 0:
             new_time_size = tf.math.minimum(new_time_size, tf.cast(self.max_time * self.units_per_ms(), tf.int32))
-        spectrogram_aug = tf.image.resize_bilinear(tf.expand_dims(tensor, -1), [new_time_size, original_shape[2]])
+        spectrogram_aug = tfv1.image.resize_bilinear(tf.expand_dims(tensor, -1), [new_time_size, original_shape[2]])
         return spectrogram_aug[:, :, :, 0]
 
 
@@ -438,6 +439,8 @@ class Warp(GraphAugmentation):
 
     def apply(self, tensor, transcript=None, clock=0.0):
         import tensorflow as tf  # pylint: disable=import-outside-toplevel
+        import tensorflow.compat.v1 as tfv1  # pylint: disable=import-outside-toplevel
+        import tensorflow_addons as tfa  # pylint: disable=import-outside-toplevel
         original_shape = tf.shape(tensor)
         size_t, size_f = original_shape[1], original_shape[2]
         seed = (clock * tf.int32.min, clock * tf.int32.max)
@@ -451,8 +454,8 @@ class Warp(GraphAugmentation):
             return tf.pad(f, tf.constant([[1, 1], [1, 1]]), 'CONSTANT')  # zero flow at all edges
 
         flows = tf.stack([get_flows(num_t, size_t, self.warp_t), get_flows(num_f, size_f, self.warp_f)], axis=2)
-        flows = tf.image.resize_bicubic(tf.expand_dims(flows, 0), [size_t, size_f])
-        spectrogram_aug = tf.contrib.image.dense_image_warp(tf.expand_dims(tensor, -1), flows)
+        flows = tfv1.image.resize_bicubic(tf.expand_dims(flows, 0), [size_t, size_f])
+        spectrogram_aug = tfa.image.dense_image_warp(tf.expand_dims(tensor, -1), flows)
         return tf.reshape(spectrogram_aug, shape=(1, -1, size_f))
 
 

training/deepspeech_training/util/config.py

@@ -50,6 +50,10 @@ def initialize_globals():
         FLAGS.dropout_rate2 = FLAGS.dropout_rate
     if FLAGS.dropout_rate3 < 0:
         FLAGS.dropout_rate3 = FLAGS.dropout_rate
+    if FLAGS.dropout_rate4 < 0:
+        FLAGS.dropout_rate4 = FLAGS.dropout_rate
+    if FLAGS.dropout_rate5 < 0:
+        FLAGS.dropout_rate5 = FLAGS.dropout_rate
     if FLAGS.dropout_rate6 < 0:
         FLAGS.dropout_rate6 = FLAGS.dropout_rate
 
@@ -126,7 +130,7 @@ def initialize_globals():
                   ''.format(FLAGS.feature_win_len, FLAGS.feature_win_len / 1000, FLAGS.audio_sample_rate))
         sys.exit(1)
 
-    c.audio_window_samples = FLAGS.audio_sample_rate * (FLAGS.feature_win_len / 1000)
+    c.audio_window_samples = int(FLAGS.audio_sample_rate * (FLAGS.feature_win_len / 1000))
 
     # Stride for feature computations in samples
     if (FLAGS.feature_win_step * FLAGS.audio_sample_rate) % 1000 != 0:
@@ -136,7 +140,7 @@ def initialize_globals():
                   ''.format(FLAGS.feature_win_step, FLAGS.feature_win_step / 1000, FLAGS.audio_sample_rate))
         sys.exit(1)
 
-    c.audio_step_samples = FLAGS.audio_sample_rate * (FLAGS.feature_win_step / 1000)
+    c.audio_step_samples = int(FLAGS.audio_sample_rate * (FLAGS.feature_win_step / 1000))
 
     if FLAGS.one_shot_infer:
         if not path_exists_remote(FLAGS.one_shot_infer):

training/deepspeech_training/util/flags.py

@@ -35,12 +35,12 @@ def create_flags():
 
     f.DEFINE_integer('epochs', 75, 'how many epochs (complete runs through the train files) to train for')
 
-    f.DEFINE_float('dropout_rate', 0.05, 'dropout rate for feedforward layers')
+    f.DEFINE_float('dropout_rate', 0.05, 'dropout rate for layer 1, and default for other feedforward layers')
     f.DEFINE_float('dropout_rate2', -1.0, 'dropout rate for layer 2 - defaults to dropout_rate')
     f.DEFINE_float('dropout_rate3', -1.0, 'dropout rate for layer 3 - defaults to dropout_rate')
-    f.DEFINE_float('dropout_rate4', 0.0, 'dropout rate for layer 4 - defaults to 0.0')
-    f.DEFINE_float('dropout_rate5', 0.0, 'dropout rate for layer 5 - defaults to 0.0')
-    f.DEFINE_float('dropout_rate6', -1.0, 'dropout rate for layer 6 - defaults to dropout_rate')
+    f.DEFINE_float('dropout_rate4', 0.0, 'dropout rate for RNN layer - defaults to 0.0')
+    f.DEFINE_float('dropout_rate5', -1.0, 'dropout rate for layer 5 - defaults to dropout_rate')
+    f.DEFINE_float('dropout_rate6', 0.0, 'dropout rate for output layer - defaults to 0.0')
 
     f.DEFINE_float('relu_clip', 20.0, 'ReLU clipping value for non-recurrent layers')
 

training/deepspeech_training/util/io.py

@@ -78,4 +78,11 @@ def remove_remote(filename):
     Wrapper that can remove local and remote files like `gs://...`
     """
     # Conditional import
-    return gfile.remove_remote(filename)
+    return gfile.remove(filename)
+
+
+def rmtree_remote(foldername):
+    """
+    Wrapper that can remove local and remote directories like `gs://...`
+    """
+    return gfile.rmtree(foldername)

transcribe.py

@@ -3,15 +3,19 @@
 from __future__ import absolute_import, division, print_function
 
 import os
-import sys
-import json
 os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
+
 import tensorflow as tf
-import tensorflow.compat.v1.logging as tflogging
-tflogging.set_verbosity(tflogging.ERROR)
+import tensorflow.compat.v1 as tfv1
+tfv1.logging.set_verbosity(tfv1.logging.ERROR)
+
 import logging
 logging.getLogger('sox').setLevel(logging.ERROR)
+
+import absl.flags
 import glob
+import json
+import sys
 
 from deepspeech_training.util.audio import AudioFile
 from deepspeech_training.util.config import Config, initialize_globals
@@ -28,7 +32,7 @@ def fail(message, code=1):
 
 
 def transcribe_file(audio_path, tlog_path):
-    from deepspeech_training.train import create_model  # pylint: disable=cyclic-import,import-outside-toplevel
+    from deepspeech_training.train import Model  # pylint: disable=cyclic-import,import-outside-toplevel
     from deepspeech_training.util.checkpoints import load_graph_for_evaluation
     initialize_globals()
     scorer = Scorer(FLAGS.lm_alpha, FLAGS.lm_beta, FLAGS.scorer_path, Config.alphabet)
@@ -37,21 +41,29 @@ def transcribe_file(audio_path, tlog_path):
     except NotImplementedError:
         num_processes = 1
     with AudioFile(audio_path, as_path=True) as wav_path:
-        data_set = split_audio_file(wav_path,
-                                    batch_size=FLAGS.batch_size,
-                                    aggressiveness=FLAGS.vad_aggressiveness,
-                                    outlier_duration_ms=FLAGS.outlier_duration_ms,
-                                    outlier_batch_size=FLAGS.outlier_batch_size)
-        iterator = tf.data.Iterator.from_structure(data_set.output_types, data_set.output_shapes,
-                                                   output_classes=data_set.output_classes)
-        batch_time_start, batch_time_end, batch_x, batch_x_len = iterator.get_next()
-        no_dropout = [None] * 6
-        logits, _ = create_model(batch_x=batch_x, seq_length=batch_x_len, dropout=no_dropout)
-        transposed = tf.nn.softmax(tf.transpose(logits, [1, 0, 2]))
-        tf.train.get_or_create_global_step()
-        with tf.Session(config=Config.session_config) as session:
+        with tfv1.Session(config=Config.session_config) as session:
+            data_set = split_audio_file(wav_path,
+                                        batch_size=FLAGS.batch_size,
+                                        aggressiveness=FLAGS.vad_aggressiveness,
+                                        outlier_duration_ms=FLAGS.outlier_duration_ms,
+                                        outlier_batch_size=FLAGS.outlier_batch_size)
+
+            iterator = tfv1.data.Iterator.from_structure(tfv1.data.get_output_types(data_set),
+                                                         tfv1.data.get_output_shapes(data_set),
+                                                         output_classes=tfv1.data.get_output_classes(data_set))
+            batch_time_start, batch_time_end, batch_x, batch_x_len = iterator.get_next()
+
+            model = Model()
+            logits, _ = model(batch_x)
+            transposed = tf.nn.softmax(tf.transpose(logits, [1, 0, 2]))
+
+            # Make sure global step variable is created in this graph so that
+            # checkpoint loading doesn't fail
+            tfv1.train.get_or_create_global_step()
+
             load_graph_for_evaluation(session)
             session.run(iterator.make_initializer(data_set))
+
             transcripts = []
             while True:
                 try:
@@ -149,20 +161,20 @@ def main(_):
 
 if __name__ == '__main__':
     create_flags()
-    tf.app.flags.DEFINE_string('src', '', 'Source path to an audio file or directory or catalog file.'
+    absl.flags.DEFINE_string('src', '', 'Source path to an audio file or directory or catalog file.'
                                           'Catalog files should be formatted from DSAlign. A directory will'
                                           'be recursively searched for audio. If --dst not set, transcription logs (.tlog) will be '
                                           'written in-place using the source filenames with '
                                           'suffix ".tlog" instead of ".wav".')
-    tf.app.flags.DEFINE_string('dst', '', 'path for writing the transcription log or logs (.tlog). '
+    absl.flags.DEFINE_string('dst', '', 'path for writing the transcription log or logs (.tlog). '
                                           'If --src is a directory, this one also has to be a directory '
                                           'and the required sub-dir tree of --src will get replicated.')
-    tf.app.flags.DEFINE_boolean('recursive', False, 'scan dir of audio recursively')
-    tf.app.flags.DEFINE_boolean('force', False, 'Forces re-transcribing and overwriting of already existing '
+    absl.flags.DEFINE_boolean('recursive', False, 'scan dir of audio recursively')
+    absl.flags.DEFINE_boolean('force', False, 'Forces re-transcribing and overwriting of already existing '
                                                 'transcription logs (.tlog)')
-    tf.app.flags.DEFINE_integer('vad_aggressiveness', 3, 'How aggressive (0=lowest, 3=highest) the VAD should '
+    absl.flags.DEFINE_integer('vad_aggressiveness', 3, 'How aggressive (0=lowest, 3=highest) the VAD should '
                                                          'split audio')
-    tf.app.flags.DEFINE_integer('batch_size', 40, 'Default batch size')
-    tf.app.flags.DEFINE_float('outlier_duration_ms', 10000, 'Duration in ms after which samples are considered outliers')
-    tf.app.flags.DEFINE_integer('outlier_batch_size', 1, 'Batch size for duration outliers (defaults to 1)')
-    tf.app.run(main)
+    absl.flags.DEFINE_integer('batch_size', 40, 'Default batch size')
+    absl.flags.DEFINE_float('outlier_duration_ms', 10000, 'Duration in ms after which samples are considered outliers')
+    absl.flags.DEFINE_integer('outlier_batch_size', 1, 'Batch size for duration outliers (defaults to 1)')
+    absl.app.run(main)