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tensorflow/c/c_op_requires.h
#ifndef TENSORFLOW_C_C_OP_REQUIRES_H_ #define TENSORFLOW_C_C_OP_REQUIRES_H_ #include "tensorflow/core/platform/macros.h" namespace tensorflow { // Convenience macros for asserting and handling exceptional conditions, for // C structs, including `TF_OpKernelContext`, `TF_Status`, etc. This is analogus // to the macros in tensorflow/core/framework/op_requires.h. This is provided
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Aug 02 21:35:06 GMT 2022 - 2.3K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-op-request.md
--- name: TensorFlow Lite Op Request about: Use this template for reporting Lite ops you are using or missing labels: 'comp:lite' --- **System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installed from (source or binary): - TensorFlow version (or github SHA if from source): **Provide the text output from tflite_convert** ``` # Copy and paste here ```
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Jun 15 03:35:58 GMT 2022 - 879 bytes - Viewed (0) -
tensorflow/c/experimental/gradients/tape/tape_operation.cc
// parent_op->Unref(); } Status TapeOperation::Reset(const char* op, const char* raw_device_name) { forward_op_.op_name = op; forward_op_.attrs.Reset(op); forward_op_.inputs.clear(); forward_op_.outputs.clear(); return parent_op_->Reset(op, raw_device_name); } const string& TapeOperation::Name() const { return parent_op_->Name(); } const string& TapeOperation::DeviceName() const {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
tensorflow/c/c_api_internal.h
TF_Graph* parent; TF_Output* parent_inputs; }; struct TF_OperationDescription { TF_OperationDescription(TF_Graph* g, const char* op_type, const char* node_name) : node_builder(node_name, op_type, g->graph.op_registry()), graph(g) {} tensorflow::NodeBuilder node_builder; TF_Graph* graph; std::set<tensorflow::string> colocation_constraints; };
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
void TF_AbstractOpSetOpType(TF_AbstractOp* op, const char* const op_type, TF_Status* s) { tsl::Set_TF_Status_from_Status( s, unwrap(op)->Reset(op_type, /*raw_device_name=*/nullptr)); } void TF_AbstractOpSetOpName(TF_AbstractOp* op, const char* const op_name, TF_Status* s) { TracingOperation* tracing_op = dyn_cast<TracingOperation>(unwrap(op));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
absl::Span<AbstractTensorHandle* const>, absl::Span<AbstractTensorHandle*>)>; // Runs `model` maybe wrapped in a function call op. This can be thought as // being equivalent to the following python code. // // if use_function: // outputs = tf.function(model)(inputs) // else: // outputs = model(inputs)
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tensorflow/c/experimental/gradients/nn_grad.cc
GradientFunction* ReluRegisterer(const ForwardOperation& op) { return new ReluGradientFunction(op.outputs); } GradientFunction* SparseSoftmaxCrossEntropyWithLogitsRegisterer( const ForwardOperation& op) { return new SparseSoftmaxCrossEntropyWithLogitsGradientFunction(op.outputs); } GradientFunction* BiasAddRegisterer(const ForwardOperation& op) { return new BiasAddGradientFunction(op.attrs); } } // namespace gradients
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:c_api", "//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:tfe_cancellation_manager_internal", "//tensorflow/c/eager:tfe_op_internal", "//tensorflow/c/eager:tfe_tensorhandle_internal", "//tensorflow/core:framework", "//tensorflow/core:lib", "@com_google_absl//absl/types:optional",
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tensorflow/c/eager/gradients.h
// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of // the op that produced it (or -1 if this tensor was watched using // `GradientTape::Watch`.) The op_id is simply a unique index assigned to each // op executed under the tape. A separate map (`tensorflow::eager::OpTape`) // maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`, // inputs and outputs and the gradient function These data structures combined
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tensorflow/c/eager/tracing_utils.cc
namespace tracing { Status MaybeSetOpName(AbstractOperation* op, const char* op_name) { if (isa<TracingOperation>(op)) { TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name)); } if (isa<gradients::TapeOperation>(op)) { TF_RETURN_IF_ERROR(MaybeSetOpName( dyn_cast<gradients::TapeOperation>(op)->GetBackingOperation(), op_name)); } return absl::OkStatus(); } } // namespace tracing
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