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CONTRIBUTING.md
- Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the [guidelines](#general-guidelines-and-philosophy-for-contribution). - Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// be an empty string if no device was explicitly requested, but will // otherwise be the name of this custom device. Ops are placed onto a custom // device if any of their inputs are on that custom device, but custom devices // are free to set a bad status in order to require explicit placement. void (*execute)(const TFE_Op* op, int* num_outputs,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
vspace, target_tensor_ids, source_tensor_ids, sources_that_are_targets, output_gradients, result, /*build_default_zeros_grads*/ false)); return absl::OkStatus(); } // Helper functions which delegate to `AbstractOperation`, update // the state of the ForwardOperation and call the tape as appropriate. // These APIs are mainly to facilitate testing and are subject to change. namespace internal {
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tensorflow/c/experimental/gradients/math_grad.cc
absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { /* Given upstream grad U and a matmul op A*B, the gradients are: * * dA = U * B.T * dB = A.T * U * * where A.T means `transpose(A)` */ AbstractTensorHandle* upstream_grad = grad_outputs[0]; // Get transpose attrs
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
switch (dtype.code) { case DLDataTypeCode::kDLBool: if (dtype.bits != 8) { return tensorflow::errors::InvalidArgument( "Only DLPack bools of bitwidth 8 are supported, got: ", dtype.bits); } *tf_dtype = TF_DataType::TF_BOOL; return absl::OkStatus(); case DLDataTypeCode::kDLUInt: switch (dtype.bits) { case 8:
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ci/official/utilities/code_check_full.bats
# the dependencies of that target which include a license notice file are then # included when generating that license. Necessary because the license targets # in TensorFlow are manually enumerated rather than generated automatically. do_external_licenses_check(){ BUILD_TARGET="$1" LICENSES_TARGET="$2" # grep patterns for targets which are allowed to be missing from the licenses
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tensorflow/c/eager/tape.h
}; // If `persistent_tape` is true, op_tape is not changed and none of the // backwards functions are deleted. // If `persistent_tape` is false, op_tape is cleared and backwards functions // not needed for gradient computation are deleted. Backwards functions that // are needed, are copied and returned in BackpropInitialState. template <typename BackwardFunction, typename TapeTensor>
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/eager/c_api_unified_experimental_graph.cc
} ~GraphOperation() override {} private: friend class GraphContext; // For access to op_. TF_Graph* g_; std::unique_ptr<TF_OperationDescription> op_; // Hold `op_type` and `op_name` till both are available since we need both // to build a graph operation. string op_type_; const char* op_name_ = nullptr; // TODO(srbs): Use this. string device_name_; };
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/eager/c_api.cc
// TODO(b/291142876) Simplify TFE_ContextSetServerDefWithTimeoutAndRetries and // TFE_ContextUpdateServerDefWithTimeout to be simple wrappers around the same // C++ function. // Retries are used for CreateContext calls, which is used in // ParameterServerStrategy initialization to be robust to worker preemption. TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeoutAndRetries(
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
tensorflow::condition_variable finished_join_; // Temporary state between `StartExecute` and `Join`. // // Inputs; pointers are to objects not owned by the DeviceThread, but which // are expected to live at least until `Join` finishes: TFE_Context* context_ TF_GUARDED_BY(execution_mutex_); const char* operation_name_ TF_GUARDED_BY(execution_mutex_);
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