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tensorflow/c/eager/c_api_test.cc
std::strncpy(buffer, "VALID", BUFFER_SIZE); TFE_OpSetAttrString(op, "padding", buffer, std::strlen(buffer)); // Overwriting value in "buffer", should be fine since TFE_Op // shouldn't be holding on to it. std::strncpy(buffer, "NHWC", BUFFER_SIZE); TFE_OpSetAttrString(op, "data_format", buffer, std::strlen(buffer)); TFE_OpSetAttrType(op, "T", TF_FLOAT);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.h
TF_CAPI_EXPORT void TF_SetXlaMinClusterSize(int size); // Gets/Sets TF/XLA flag for whether(true) or not(false) to disable constant // folding. This is for testing to ensure that XLA is being tested rather than // Tensorflow's CPU implementation through constant folding. TF_CAPI_EXPORT unsigned char TF_GetXlaConstantFoldingDisabled(); TF_CAPI_EXPORT void TF_SetXlaConstantFoldingDisabled( unsigned char should_enable);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
CONTRIBUTING.md
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
unsigned char TF_GetXlaConstantFoldingDisabled() { return static_cast<unsigned char>( tensorflow::GetBuildXlaOpsPassFlags()->tf_xla_disable_constant_folding); } void TF_SetXlaConstantFoldingDisabled(unsigned char should_enable) { tensorflow::GetBuildXlaOpsPassFlags()->tf_xla_disable_constant_folding = static_cast<bool>(should_enable); } void TF_SetXlaMinClusterSize(int size) { tensorflow::MarkForCompilationPassFlags* flags =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/api_template_v1.__init__.py
__path__.append(_tf_api_dir) # Hook external TensorFlow modules. # Import compat before trying to import summary from tensorboard, so that # reexport_tf_summary can get compat from sys.modules. Only needed if using # lazy loading. _current_module.compat.v2 # pylint: disable=pointless-statement # Load tensorflow-io-gcs-filesystem if enabled if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.h
TF_TriState implementation_selector; TF_TriState function_optimization; TF_TriState common_subgraph_elimination; TF_TriState arithmetic_optimization; TF_TriState debug_stripper; TF_TriState constant_folding; TF_TriState shape_optimization; TF_TriState auto_mixed_precision; TF_TriState auto_mixed_precision_onednn_bfloat16; TF_TriState auto_mixed_precision_mkl; TF_TriState pin_to_host_optimization;
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// upstream gradients. // // TODO(apassos) provide concrete template instantiations for TFE_TensorHandle // specialization, which is blocked by quite a few things needing to loop back // into python now. template <typename Gradient, typename BackwardFunction, typename TapeTensor> class VSpace { public: virtual ~VSpace() {} // Returns the number of elements in the gradient tensor.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/experimental/grappler/grappler.cc
CONFIG_TOGGLE(function_optimization); CONFIG_TOGGLE(common_subgraph_elimination); CONFIG_TOGGLE(arithmetic_optimization); CONFIG_TOGGLE(debug_stripper); CONFIG_TOGGLE(constant_folding); CONFIG_TOGGLE(shape_optimization); CONFIG_TOGGLE(auto_mixed_precision); CONFIG_TOGGLE(auto_mixed_precision_onednn_bfloat16); CONFIG_TOGGLE(auto_mixed_precision_mkl); CONFIG_TOGGLE(pin_to_host_optimization);
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/eager/c_api.h
// Returns the device of the operation that produced `h`. If `h` was produced by // a copy, returns the destination device of the copy. Note that the returned // device name is not always the device holding the tensor handle's memory. If // you want the latter, use TFE_TensorHandleBackingDeviceName. This function // will block till the operation that produces `h` has completed.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
.bazelrc
build:ios_x86_64 --cpu=ios_x86_64 build:ios_fat --config=ios build:ios_fat --ios_multi_cpus=armv7,arm64,i386,x86_64 # Config to use a mostly-static build and disable modular op registration # support (this will revert to loading TensorFlow with RTLD_GLOBAL in Python). # By default, TensorFlow will build with a dependence on # //tensorflow:libtensorflow_framework.so. build:monolithic --define framework_shared_object=false
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