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Results 11 - 20 of 73 for status (0.15 sec)
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tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
TFE_NewOp(context.get(), "VarHandleOp", status.get()), TFE_DeleteOp); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_OpSetAttrType(handle_op.get(), "dtype", TF_FLOAT); TFE_OpSetAttrShape(handle_op.get(), "shape", /*dims=*/nullptr, /*num_dims=*/0, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); auto outputs =
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
status->status = c.construction_status(); if (!status->status.ok()) return; if (op_reg_data->shape_inference_fn == nullptr) { status->status = InvalidArgument("No shape inference function exists for op '", node_def.op(), "', did you forget to define it?"); return; } status->status = c.Run(op_reg_data->shape_inference_fn);
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/c/eager/c_api_remote_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); auto* h1_task1 = TFE_TensorHandleCopyToDevice(h1_task0, ctx, remote_device_name, status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_Op* matmul = MatMulOp(ctx, h0_task1, h1_task1); TFE_OpSetDevice(matmul, remote_device_name, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_TensorHandle* retvals[1]; int num_retvals = 1;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 12 00:14:22 GMT 2020 - 5.4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); Status s = StatusFromTF_Status(status.get()); CHECK_EQ(errors::OK, s.code()) << s.message(); } }; class PassThroughGradientFunction : public GradientFunction { public: Status Compute(AbstractContext* ctx,
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_eager.cc
TFE_Context* c_ctx = TFE_NewContext(options, s); if (TF_GetCode(s) != TF_OK) { return nullptr; } return wrap(static_cast<AbstractContext*>(unwrap(c_ctx))); } TF_AbstractTensor* TF_CreateAbstractTensorFromEagerTensor(TFE_TensorHandle* t, TF_Status* s) { return wrap(static_cast<AbstractTensorHandle*>(unwrap(t))); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jun 25 04:40:46 GMT 2020 - 3.2K bytes - Viewed (0) -
tensorflow/c/eager/graph_function.cc
#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() {} Status GraphFunction::GetFunctionDef(const FunctionDef **fdef) { *fdef = &(func_record_->fdef());
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/experimental/gradients/array_grad.cc
#include "tensorflow/c/eager/abstract_context.h" namespace tensorflow { namespace gradients { namespace { class IdentityNGradientFunction : public GradientFunction { public: Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { for (int i = 0; i < grad_outputs.size(); i++) {
C++ - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 1.6K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
grad_registry = std::move(registry)]( AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) -> Status { Tape tape(/*persistent=*/false); for (size_t i{}; i < inputs.size(); ++i) { tape.Watch(inputs[i]); } std::vector<AbstractTensorHandle*> temp_outputs(1);
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/env.cc
::tensorflow::Set_TF_Status_from_Status(status, s); if (s.ok()) { stats->length = cc_stats.length; stats->mtime_nsec = cc_stats.mtime_nsec; stats->is_directory = cc_stats.is_directory; } } void TF_NewWritableFile(const char* filename, TF_WritableFileHandle** handle, TF_Status* status) { std::unique_ptr<::tensorflow::WritableFile> f;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_static.cc
#include "tensorflow/core/platform/status.h" namespace tensorflow { // Register the POSIX filesystems statically. // Return value will be unused bool StaticallyRegisterLocalFilesystems() { TF_FilesystemPluginInfo info; TF_InitPlugin(&info); Status status = filesystem_registration::RegisterFilesystemPluginImpl(&info); if (!status.ok()) { VLOG(0) << "Static POSIX filesystem could not be registered: " << status;
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 1.5K bytes - Viewed (0)