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tensorflow/c/experimental/ops/BUILD
"//tensorflow/c/eager:abstract_operation", "//tensorflow/c/eager:abstract_tensor_handle", "//tensorflow/c/eager:c_api_unified_internal", "//tensorflow/c/eager:tracing_utils", "//tensorflow/core:framework", "//tensorflow/core/platform:errors", "@com_google_absl//absl/types:span", ], ) cc_library( name = "io_ops", srcs = [
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tensorflow/c/eager/unified_api_testutil.h
#include "tensorflow/c/tf_tensor.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Builds and returns a `TracingContext` using the default tracing impl. AbstractContext* BuildFunction(const char* fn_name); // Creates parameters (placeholders) in the tracing `ctx` using the shape and // dtype of `inputs`. Status CreateParamsForInputs(AbstractContext* ctx,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
TEST_P(CppGradients, TestSparseSoftmaxCrossEntropyWithLogitsGrad) { if (UseFunction()) { // TODO(b/168850692): Enable this. GTEST_SKIP() << "Can't take gradient of " "SparseSoftmaxCrossEntropyWithLogits in tracing mode."; } // Score float X_vals[] = {1.0f, 2.0f, 3.0f, -5.0f, -4.0f, -3.0f, 2.0f, 0.0f, -1.0f}; int64_t X_dims[] = {3, 3}; AbstractTensorHandlePtr X; { AbstractTensorHandle* X_raw;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling build --profile=/tf/pkg/profile.json.gz # Use the rebuilt gcc toolchain to compile for manylinux2014
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tensorflow/c/eager/tracing_utils.h
#ifndef TENSORFLOW_C_EAGER_TRACING_UTILS_H_ #define TENSORFLOW_C_EAGER_TRACING_UTILS_H_ #include "tensorflow/c/eager/abstract_operation.h" namespace tensorflow { namespace tracing { Status MaybeSetOpName(AbstractOperation*, const char* op_name); } // namespace tracing } // namespace tensorflow
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 31 17:39:44 GMT 2022 - 1016 bytes - Viewed (0) -
tensorflow/c/eager/tracing_utils.cc
#include "tensorflow/c/eager/tracing_utils.h" #include "tensorflow/c/eager/c_api_unified_experimental_internal.h" #include "tensorflow/c/experimental/gradients/tape/tape_operation.h" #include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h" #include "tensorflow/core/platform/errors.h" namespace tensorflow { namespace tracing { Status MaybeSetOpName(AbstractOperation* op, const char* op_name) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
using tensorflow::Status; using tensorflow::unwrap; using tensorflow::wrap; using tensorflow::tracing::CreateTracingExecutionContext; using tensorflow::tracing::SetDefaultTracingEngine; using tensorflow::tracing::TracingContext; using tensorflow::tracing::TracingOperation; using tensorflow::tracing::TracingTensorHandle; void TF_SetTracingImplementation(const char* name, TF_Status* s) {
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/graph_function.h
#define TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_ #include "tensorflow/c/eager/abstract_function.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/platform/refcount.h" namespace tensorflow { namespace tracing { namespace graph { using tensorflow::AbstractFunction; // Thin wrapper around a FunctionDef. class GraphFunction : public AbstractFunction { public: explicit GraphFunction(FunctionDef fdef);
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tensorflow/c/eager/c_api_unified_experimental.h
// This allows the client to swap the implementation of the tracing engine. // Any future call to TF_CreateFunction will use the implementation defined // here. void TF_SetTracingImplementation(const char* name, TF_Status*); // Creates a new TensorFlow function. A Function is an execution context, and as // such it can trace operations through TF_ExecuteOperation. After completing // tracing, a function can be obtained by TF_FinalizeFunction.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
absl::Span<AbstractTensorHandle*> outputs) { if (!isa<ImmediateExecutionContext>(ctx)) { // TODO(b/168850692): Fix this. return errors::Unimplemented( "BroadcastMul is not supported in tracing mode yet."); } auto imm_ctx = dyn_cast<ImmediateExecutionContext>(ctx); AbstractTensorPtr minus_1(imm_ctx->CreateInt32Scalar(-1)); ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get()));
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)