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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/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) -
tensorflow/c/eager/graph_function.cc
#include <utility> #include "tensorflow/c/eager/abstract_function.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { namespace tracing { namespace graph { GraphFunction::GraphFunction(FunctionDef fdef) : AbstractFunction(kGraph), func_record_(new FunctionRecord(std::move(fdef), {}, true)) {} GraphFunction::~GraphFunction() {}
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Mar 04 19:49:06 GMT 2024 - 1.3K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
AbstractTensorHandle** result) { AbstractOperationPtr op(ctx->CreateOperation()); TF_RETURN_IF_ERROR(op->Reset("ZerosLike", /*raw_device_name=*/nullptr)); if (isa<tracing::TracingOperation>(op.get())) { TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingOperation>(op.get())->SetOpName( absl::StrCat("ZerosLike", ToId(t)).c_str())); } TF_RETURN_IF_ERROR(op->AddInput(t)); int num_outputs = 1;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K 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_test.cc
ASSERT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(status.get())); TF_DeleteExecutionContext(graph_ctx); } // The above tests are run for a combination of: // - graphdef and MLIR tracing engine INSTANTIATE_TEST_SUITE_P(Tracing, UnifiedCAPI, ::testing::Combine(::testing::Values("graphdef", "mlir"),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K 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) -
tensorflow/c/eager/gradients_test.cc
#include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { namespace { using std::vector; using tensorflow::TF_StatusPtr; using tracing::TracingOperation; class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// Allows a single op at a time to be launched without blocking. // // DeviceThread itself is thread-safe, in that StartExecute will block if there // is a pending execution. Since StartExecute is equivalent to grabbing a lock, // multiple DeviceThreads should always be accessed in the same order to avoid // deadlocks. class DeviceThread { public: // Starts a background thread waiting for `StartExecute`.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/unified_api_test.cc
TEST_P(UnifiedAPI, TestUnknownShapeTracing) { if (!UseFunction()) { GTEST_SKIP() << "Tracing only test."; } if (UseMlir()) { // TODO(b/173074167): Remove this. GTEST_SKIP() << "MlirTensor::Shape is not implemented yet."; } AbstractContextPtr ctx(BuildFunction("test_fn")); AbstractTensorHandlePtr x; { tracing::TracingTensorHandle* x_raw = nullptr; PartialTensorShape shape;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0)