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benchmarks/resnet50
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Move additional_deps to deps for cuda_py_test.
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2019-12-12 15:53:59 -08:00 |
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memory_tests
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Move additional_deps to deps for cuda_py_test.
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2019-12-12 15:53:59 -08:00 |
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backprop_test.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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backprop_util.py
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Silence a warning when reading variables with forwardprop
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2019-09-03 10:08:36 -07:00 |
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backprop.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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benchmarks_test.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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BUILD
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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cancellation_test.py
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Add a SWIG wrapper for the tensorflow::CancellationManager class.
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2019-07-03 08:28:39 -07:00 |
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cancellation.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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context_test.py
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Add a simple internal utility for collecting post-optimization graphs
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2019-11-11 15:39:18 -08:00 |
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context.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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core_test.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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core.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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def_function_test.py
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Pass experimental_relax_shapes to instance methods...
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2019-12-11 23:16:09 +01:00 |
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def_function_xla_jit_test.py
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Add XLAControlFlowContext when experimental_compile=True.
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2019-10-15 17:24:27 -07:00 |
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def_function_xla_test.py
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Initialize variables in tf.function without conds when possible
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2019-01-31 14:17:19 -08:00 |
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def_function.py
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Pass experimental_relax_shapes to instance methods...
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2019-12-11 23:16:09 +01:00 |
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device_placement_test.py
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Automated g4 rollback of changelist 279842730.
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2019-11-19 09:51:24 -08:00 |
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eager_util.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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execute.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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executor.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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forwardprop_test.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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forwardprop_util.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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forwardprop.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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function_argument_naming_test.py
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Auto-uniquify ConcreteFunction kwargs, and allow passing anything as a positional argument
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2019-05-23 13:55:15 -07:00 |
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function_defun_collection_test.py
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function_gradients_test.py
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Make device listing APIs non-experimental
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2019-11-05 02:14:04 -08:00 |
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function_test.py
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Pass experimental_relax_shapes to instance methods...
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2019-12-11 23:16:09 +01:00 |
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function.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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graph_only_ops_test.py
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Delete unused graph_zeros_like
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2019-10-05 02:11:53 -07:00 |
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graph_only_ops.py
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Delete unused graph_zeros_like
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2019-10-05 02:11:53 -07:00 |
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imperative_grad.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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lift_to_graph_test.py
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Make func_graph captures private to class
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2019-07-29 20:11:35 -07:00 |
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lift_to_graph.py
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Replace list comprehension with generator expressions.
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2019-12-16 12:26:12 -08:00 |
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monitoring_test.py
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Refactor monitoring gauge and sampler API to an object-based API.
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2019-04-18 14:37:19 -07:00 |
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monitoring.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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ops_test.py
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For ops with an input for the form "a: N * T", if N=0 and there's no other information about what type T should resolve to, then set T to its default value (if one is present).
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2019-09-30 09:58:29 -07:00 |
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profiler_client_test.py
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Add a StartMonitoring Python API.
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2019-06-13 12:18:31 -07:00 |
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profiler_client.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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profiler_test.py
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Making tracers implementations of ProfilerInterface and register factories to ProfilerSession.
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2019-04-16 13:29:28 -07:00 |
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profiler.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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pywrap_tensor_conversion.cc
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Added scalar caching to tensorflow::ConvertToEagerTensor
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2019-08-02 03:36:11 -07:00 |
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pywrap_tensor_conversion.h
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ConvertToEagerTensor now allocates on GPU if one is available and no device is specified
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2019-10-17 07:22:24 -07:00 |
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pywrap_tensor.cc
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Ensure context is populated for constant tensors
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2019-12-17 14:27:29 -08:00 |
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pywrap_tensor.h
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Inline status in EagerTensor
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2019-09-04 19:55:01 -07:00 |
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pywrap_tfe_src.cc
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[Perf] Skip EagerOperation::SetDeviceName(...) call if input device name didn't change.
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2019-12-09 22:04:13 -08:00 |
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pywrap_tfe_test.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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pywrap_tfe.h
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Stop allocating a new tf_status on every op execution.
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2019-10-03 13:29:50 -07:00 |
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remote_benchmarks_test.py
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Improves function tracing time of variables created inside functions. In _initialize_uninitialized_variables, pack all variable_is_initialized ops into one tensor and convert it to numpy in one call, instead of checking remote variable_is_initialized op for each variable which introduces a lot of blocking RPCs.
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2019-10-02 17:28:12 -07:00 |
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remote_cloud_tpu_test.py
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Update test device names.
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2019-11-20 17:10:26 -08:00 |
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remote_test.py
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For a multi-device function, if the output producing node is assigned to a remote device, colocate the retval node with its input node.
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2019-12-11 16:54:09 -08:00 |
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remote.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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tape_test.py
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Replace many calls to eval() with self.evaluate()
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2018-11-16 13:10:31 -08:00 |
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tape.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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tensor_test.py
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Export the Eager classes and functions from C++ to Python with pybind11 instead of swig. This is part of a larger effort to deprecate swig and eventually with modularization break pywrap_tensorflow into smaller components. It will also make exporting C++ ops to Python significantly easier. XLA is using the pybind11 macros already. Please refer to https://github.com/tensorflow/community/blob/master/rfcs/20190208-pybind11.md for more information.
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2019-12-17 19:40:40 -08:00 |
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test.py
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Add tensorflow/python/platform/__init__.py for clearer error msg.
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2018-11-15 12:24:30 -08:00 |
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wrap_function_test.py
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Replace == with is in test comparing variable identity.
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2019-08-15 13:37:05 -07:00 |
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wrap_function.py
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Explicitly set base_graph in tf.wrap_function.prune().
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2019-11-14 11:53:19 -08:00 |
