Causes some windows tests to fail with
```
FAILED: //tensorflow/python/kernel_tests:cwise_ops_test (Summary)
C:/tmp/hgi62d3r/execroot/org_tensorflow/bazel-out/x64_windows-opt/testlogs/tensorflow/python/kernel_tests/cwise_ops_test/shard_41_of_50/test.log
C:/tmp/hgi62d3r/execroot/org_tensorflow/bazel-out/x64_windows-opt/testlogs/tensorflow/python/kernel_tests/cwise_ops_test/shard_41_of_50/test_attempts/attempt_1.log
C:/tmp/hgi62d3r/execroot/org_tensorflow/bazel-out/x64_windows-opt/testlogs/tensorflow/python/kernel_tests/cwise_ops_test/shard_41_of_50/test_attempts/attempt_2.log
INFO: From Testing //tensorflow/python/kernel_tests:cwise_ops_test (shard 41 of 50):
==================== Test output for //tensorflow/python/kernel_tests:cwise_ops_test (shard 41 of 50):
Running tests under Python 3.8.3: c:\Python38\python.exe
[ RUN ] MathOpsOverloadTest.testOverload
2020-08-07 18:06:36.702914: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-08-07 18:06:36.731707: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1f14f681f00 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-08-07 18:06:36.732038: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
INFO:tensorflow:time(__main__.MathOpsOverloadTest.testOverload): 0.09s
I0807 18:06:36.788563 9040 test_util.py:1974] time(__main__.MathOpsOverloadTest.testOverload): 0.09s
No pending test case: __main__.MathOpsOverloadTest.testOverload
======================================================================
ERROR: testOverload (__main__.MathOpsOverloadTest) (dtype=tf.bfloat16, np_func=<ufunc 'power'>, tf_func=<function <lambda> at 0x000001F152FA13A0>)
testOverload (__main__.MathOpsOverloadTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_6r__ku2y\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 883, in testOverload
self._compareBinary(10, 5, dtype, np_func, tf_func)
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_6r__ku2y\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 843, in _compareBinary
np_ans = np_func(x, y).astype(dtype.as_numpy_dtype)
ValueError: No cast function available.
======================================================================
ERROR: testOverload (__main__.MathOpsOverloadTest) (dtype=tf.bfloat16, np_func=<ufunc 'floor_divide'>, tf_func=<function <lambda> at 0x000001F152FA14C0>)
testOverload (__main__.MathOpsOverloadTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_6r__ku2y\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 883, in testOverload
self._compareBinary(10, 5, dtype, np_func, tf_func)
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_6r__ku2y\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 843, in _compareBinary
np_ans = np_func(x, y).astype(dtype.as_numpy_dtype)
ValueError: No cast function available.
----------------------------------------------------------------------
Ran 1 test in 0.093s
FAILED (errors=2)
================================================================================
==================== Test output for //tensorflow/python/kernel_tests:cwise_ops_test (shard 41 of 50):
Running tests under Python 3.8.3: c:\Python38\python.exe
[ RUN ] MathOpsOverloadTest.testOverload
2020-08-07 18:07:02.741015: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-08-07 18:07:02.768942: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x177405cd170 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-08-07 18:07:02.769253: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
INFO:tensorflow:time(__main__.MathOpsOverloadTest.testOverload): 0.08s
I0807 18:07:02.821412 3188 test_util.py:1974] time(__main__.MathOpsOverloadTest.testOverload): 0.08s
No pending test case: __main__.MathOpsOverloadTest.testOverload
======================================================================
ERROR: testOverload (__main__.MathOpsOverloadTest) (dtype=tf.bfloat16, np_func=<ufunc 'power'>, tf_func=<function <lambda> at 0x0000017741FFF3A0>)
testOverload (__main__.MathOpsOverloadTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_1vkgaz40\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 883, in testOverload
self._compareBinary(10, 5, dtype, np_func, tf_func)
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_1vkgaz40\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 843, in _compareBinary
np_ans = np_func(x, y).astype(dtype.as_numpy_dtype)
ValueError: No cast function available.
======================================================================
ERROR: testOverload (__main__.MathOpsOverloadTest) (dtype=tf.bfloat16, np_func=<ufunc 'floor_divide'>, tf_func=<function <lambda> at 0x0000017741FFF4C0>)
testOverload (__main__.MathOpsOverloadTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_1vkgaz40\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 883, in testOverload
self._compareBinary(10, 5, dtype, np_func, tf_func)
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_1vkgaz40\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 843, in _compareBinary
np_ans = np_func(x, y).astype(dtype.as_numpy_dtype)
ValueError: No cast function available.
----------------------------------------------------------------------
Ran 1 test in 0.087s
FAILED (errors=2)
================================================================================
==================== Test output for //tensorflow/python/kernel_tests:cwise_ops_test (shard 41 of 50):
Running tests under Python 3.8.3: c:\Python38\python.exe
[ RUN ] MathOpsOverloadTest.testOverload
2020-08-07 18:07:22.498277: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2020-08-07 18:07:22.528039: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x18eee98a7e0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-08-07 18:07:22.528627: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
INFO:tensorflow:time(__main__.MathOpsOverloadTest.testOverload): 0.07s
I0807 18:07:22.565276 5312 test_util.py:1974] time(__main__.MathOpsOverloadTest.testOverload): 0.07s
No pending test case: __main__.MathOpsOverloadTest.testOverload
======================================================================
ERROR: testOverload (__main__.MathOpsOverloadTest) (dtype=tf.bfloat16, np_func=<ufunc 'power'>, tf_func=<function <lambda> at 0x0000018EED9D13A0>)
testOverload (__main__.MathOpsOverloadTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_ruka25hh\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 883, in testOverload
self._compareBinary(10, 5, dtype, np_func, tf_func)
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_ruka25hh\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 843, in _compareBinary
np_ans = np_func(x, y).astype(dtype.as_numpy_dtype)
ValueError: No cast function available.
======================================================================
ERROR: testOverload (__main__.MathOpsOverloadTest) (dtype=tf.bfloat16, np_func=<ufunc 'floor_divide'>, tf_func=<function <lambda> at 0x0000018EED9D14C0>)
testOverload (__main__.MathOpsOverloadTest)
----------------------------------------------------------------------
Traceback (most recent call last):
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_ruka25hh\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 883, in testOverload
self._compareBinary(10, 5, dtype, np_func, tf_func)
File "\\?\C:\Users\ContainerAdministrator\AppData\Local\Temp\Bazel.runfiles_ruka25hh\runfiles\org_tensorflow\tensorflow\python\kernel_tests\cwise_ops_test.py", line 843, in _compareBinary
np_ans = np_func(x, y).astype(dtype.as_numpy_dtype)
ValueError: No cast function available.
----------------------------------------------------------------------
Ran 1 test in 0.074s
```
PiperOrigin-RevId: 325819709
Change-Id: I919270e31978573c652f88224a32beb55592aa84
This commit is contained in:
Alexandre Passos
TensorFlower Gardener
parent
4ed4c14e4c
commit
04d770b603
@ -882,30 +882,6 @@ genrule(
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visibility = ["//visibility:public"],
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)
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# The interface library (tensorflow_framework.dll.if.lib) for linking tensorflow DLL
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# library (tensorflow_framework.dll) on Windows.
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# To learn more about import library (called interface library in Bazel):
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# https://docs.microsoft.com/en-us/cpp/build/linking-an-executable-to-a-dll?view=vs-2017#linking-implicitly
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filegroup(
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name = "get_tensorflow_framework_dll_import_lib",
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srcs = ["//tensorflow:tensorflow_framework.dll"],
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output_group = "interface_library",
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visibility = ["//visibility:public"],
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)
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# Rename the import library for tensorflow_framework.dll from
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# tensorflow_framework.dll.if.lib to tensorflow_framework.lib
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genrule(
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name = "tensorflow_framework_dll_import_lib",
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srcs = [":get_tensorflow_framework_dll_import_lib"],
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outs = ["tensorflow_framework.lib"],
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cmd = select({
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"//tensorflow:windows": "cp -f $< $@",
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"//conditions:default": "touch $@", # Just a placeholder for Unix platforms
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}),
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visibility = ["//visibility:public"],
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)
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# The interface library (tensorflow_cc.dll.if.lib) for linking tensorflow DLL library (tensorflow_cc.dll) on Windows.
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# To learn more about import library (called interface library in Bazel):
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# https://docs.microsoft.com/en-us/cpp/build/linking-an-executable-to-a-dll?view=vs-2017#linking-implicitly
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@ -741,7 +741,7 @@ Status MergeBundles(Env* env, gtl::ArraySlice<tstring> prefixes,
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// Interface for reading a tensor bundle.
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TF_EXPORT BundleReader::BundleReader(Env* env, StringPiece prefix)
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BundleReader::BundleReader(Env* env, StringPiece prefix)
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: env_(env),
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prefix_(prefix),
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metadata_(nullptr),
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@ -796,7 +796,7 @@ TF_EXPORT BundleReader::BundleReader(Env* env, StringPiece prefix)
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kTensorBundleMinProducer, "Checkpoint", "checkpoint");
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}
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TF_EXPORT BundleReader::~BundleReader() {
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BundleReader::~BundleReader() {
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delete metadata_;
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delete iter_;
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delete table_;
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@ -936,7 +936,7 @@ Status BundleReader::GetValue(const BundleEntryProto& entry, Tensor* val) {
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return Status::OK();
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}
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TF_EXPORT Status BundleReader::Lookup(StringPiece key, Tensor* val) {
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Status BundleReader::Lookup(StringPiece key, Tensor* val) {
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CHECK(val != nullptr);
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BundleEntryProto entry;
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TF_RETURN_IF_ERROR(GetBundleEntryProto(key, &entry));
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@ -950,7 +950,7 @@ TF_EXPORT Status BundleReader::Lookup(StringPiece key, Tensor* val) {
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}
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}
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TF_EXPORT Status BundleReader::ReadCurrent(Tensor* val) {
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Status BundleReader::ReadCurrent(Tensor* val) {
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CHECK(val != nullptr);
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BundleEntryProto entry;
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TF_RETURN_IF_ERROR(ParseEntryProto(iter_->key(), iter_->value(), &entry));
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@ -968,8 +968,8 @@ TF_EXPORT Status BundleReader::ReadCurrent(Tensor* val) {
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}
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}
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TF_EXPORT Status BundleReader::LookupTensorSlices(
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StringPiece key, std::vector<TensorSlice>* slices) {
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Status BundleReader::LookupTensorSlices(StringPiece key,
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std::vector<TensorSlice>* slices) {
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slices->clear();
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BundleEntryProto entry;
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TF_RETURN_IF_ERROR(GetBundleEntryProto(key, &entry));
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@ -980,9 +980,8 @@ TF_EXPORT Status BundleReader::LookupTensorSlices(
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return Status::OK();
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}
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TF_EXPORT Status BundleReader::LookupSlice(StringPiece full_tensor_key,
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const TensorSlice& slice_spec,
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Tensor* val) {
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Status BundleReader::LookupSlice(StringPiece full_tensor_key,
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const TensorSlice& slice_spec, Tensor* val) {
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CHECK(val != nullptr);
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BundleEntryProto entry;
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TF_RETURN_IF_ERROR(GetBundleEntryProto(full_tensor_key, &entry));
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@ -1104,14 +1103,13 @@ Status BundleReader::GetSliceValue(StringPiece full_tensor_key,
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return Status::OK();
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}
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TF_EXPORT bool BundleReader::Contains(StringPiece key) {
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bool BundleReader::Contains(StringPiece key) {
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Seek(key);
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return Valid() && (this->key() == key);
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}
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TF_EXPORT Status BundleReader::LookupDtypeAndShape(StringPiece key,
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DataType* dtype,
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TensorShape* shape) {
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Status BundleReader::LookupDtypeAndShape(StringPiece key, DataType* dtype,
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TensorShape* shape) {
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BundleEntryProto entry;
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TF_RETURN_IF_ERROR(GetBundleEntryProto(key, &entry));
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*dtype = entry.dtype();
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@ -1119,13 +1117,12 @@ TF_EXPORT Status BundleReader::LookupDtypeAndShape(StringPiece key,
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return Status::OK();
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}
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TF_EXPORT Status BundleReader::LookupTensorShape(StringPiece key,
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TensorShape* shape) {
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Status BundleReader::LookupTensorShape(StringPiece key, TensorShape* shape) {
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DataType ignored;
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return LookupDtypeAndShape(key, &ignored, shape);
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}
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TF_EXPORT string BundleReader::DebugString() {
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string BundleReader::DebugString() {
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// Format used below emulates that of TensorSliceReader::DebugString().
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string shape_str;
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BundleEntryProto entry;
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@ -182,28 +182,28 @@ Status MergeBundles(Env* env, gtl::ArraySlice<tstring> prefixes,
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// All threads accessing the same BundleReader must synchronize.
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class BundleReader {
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public:
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TF_EXPORT BundleReader(Env* const env, StringPiece prefix);
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TF_EXPORT ~BundleReader();
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BundleReader(Env* const env, StringPiece prefix);
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~BundleReader();
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// Is ok() iff the reader construction is successful (completed the read of
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// the metadata).
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TF_EXPORT Status status() const { return status_; }
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Status status() const { return status_; }
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// Queries whether the bundle contains an entry keyed by "key". Calls Seek()
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// internally, so this call invalidates the reader's current position.
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// REQUIRES: status().ok()
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TF_EXPORT bool Contains(StringPiece key);
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bool Contains(StringPiece key);
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// Looks up the dtype and the shape of the tensor keyed by "key".
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// REQUIRES: status().ok()
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TF_EXPORT Status LookupDtypeAndShape(StringPiece key, DataType* dtype,
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TensorShape* shape) TF_MUST_USE_RESULT;
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Status LookupDtypeAndShape(StringPiece key, DataType* dtype,
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TensorShape* shape) TF_MUST_USE_RESULT;
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// Looks up the shape of the tensor keyed by "key".
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// Clears "shape" if not found.
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// REQUIRES: status().ok()
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TF_EXPORT Status LookupTensorShape(StringPiece key,
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TensorShape* shape) TF_MUST_USE_RESULT;
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Status LookupTensorShape(StringPiece key,
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TensorShape* shape) TF_MUST_USE_RESULT;
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// Looks up the tensor keyed by "key". If "key" refers to a partitioned
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// tensor, attempts to look up the full contents using all stored slices.
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@ -217,7 +217,7 @@ class BundleReader {
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//
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// Validates the stored crc32c checksum against the restored bytes.
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// REQUIRES: status().ok()
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TF_EXPORT Status Lookup(StringPiece key, Tensor* val) TF_MUST_USE_RESULT;
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Status Lookup(StringPiece key, Tensor* val) TF_MUST_USE_RESULT;
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// Looks up the tensor pointed to by the internal iterator.
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//
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@ -225,7 +225,7 @@ class BundleReader {
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//
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// Validates the stored crc32c checksum against the restored bytes.
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// REQUIRES: status().ok() && Valid()
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TF_EXPORT Status ReadCurrent(Tensor* val) TF_MUST_USE_RESULT;
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Status ReadCurrent(Tensor* val) TF_MUST_USE_RESULT;
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// Looks up the slices of the tensor keyed by "key". On OK, "slices"
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// is non-empty if and only if the tensor is a partitioned tensor.
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@ -234,35 +234,34 @@ class BundleReader {
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// a slice with a larger start index in some dimension could come before
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// another slice with a smaller start index in the same dimension.
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// REQUIRES: status().ok()
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TF_EXPORT Status LookupTensorSlices(
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StringPiece key, std::vector<TensorSlice>* slices) TF_MUST_USE_RESULT;
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Status LookupTensorSlices(StringPiece key, std::vector<TensorSlice>* slices)
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TF_MUST_USE_RESULT;
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// Looks up a specific slice of a partitioned tensor.
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// It is only required that the stored slices cover the requested slice,
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// namely "slice_spec" is a subset of the union of the stored slices.
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// REQUIRES: status().ok()
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TF_EXPORT Status LookupSlice(StringPiece full_tensor_key,
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const TensorSlice& slice_spec,
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Tensor* val) TF_MUST_USE_RESULT;
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Status LookupSlice(StringPiece full_tensor_key, const TensorSlice& slice_spec,
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Tensor* val) TF_MUST_USE_RESULT;
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// Seeks to the first position in the bundle whose key is no less than "key".
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// REQUIRES: status().ok()
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TF_EXPORT void Seek(StringPiece key) { return iter_->Seek(key); }
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void Seek(StringPiece key) { return iter_->Seek(key); }
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// Moves to the next position in the bundle.
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// REQUIRES: status().ok()
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TF_EXPORT void Next() const { iter_->Next(); }
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void Next() const { iter_->Next(); }
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// Returns true iff the reader is positioned to a key/val pair.
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// REQUIRES: status().ok()
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TF_EXPORT bool Valid() const { return iter_->Valid(); }
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bool Valid() const { return iter_->Valid(); }
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// Returns the key at the current position.
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// REQUIRES: status().ok() && Valid()
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TF_EXPORT StringPiece key() const { return iter_->key(); }
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StringPiece key() const { return iter_->key(); }
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// Returns the raw value at the current position.
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// REQUIRES: status().ok() && Valid()
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TF_EXPORT StringPiece value() const { return iter_->value(); }
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StringPiece value() const { return iter_->value(); }
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TF_EXPORT string DebugString();
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string DebugString();
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private:
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// Seeks for "key" and reads the metadata proto.
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@ -51,11 +51,8 @@ INCLUDEPRE_RE = re.compile(r"google::protobuf::internal::ExplicitlyConstructed|"
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r"google::protobuf::internal::ArenaImpl::AddCleanup|" # for contrib/data/_prefetching_ops
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r"google::protobuf::internal::LogMessage|" # for contrib/data/_prefetching_ops
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r"google::protobuf::Arena::OnArenaAllocation|" # for contrib/data/_prefetching_ops
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r"google::protobuf::Message::InitializationErrorString|"
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r"google::protobuf::MessageLite::ParseFromArray|"
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r"absl::Mutex::ReaderLock|" # for //tensorflow/contrib/rnn:python/ops/_gru_ops.so and more ops
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r"absl::Mutex::ReaderUnlock|" # for //tensorflow/contrib/rnn:python/ops/_gru_ops.so and more ops
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r"tensorflow::TensorShape|"
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r"tensorflow::internal::LogMessage|"
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r"tensorflow::internal::LogString|"
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r"tensorflow::internal::CheckOpMessageBuilder|"
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Block a user