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tensorflow/c/c_api.cc
// Input tensors const std::vector<std::pair<string, Tensor>>& input_pairs, // Output tensors const std::vector<string>& output_tensor_names, TF_Tensor** c_outputs, // Target nodes const std::vector<string>& target_oper_names, TF_Buffer* run_metadata, TF_Status* status) { const int noutputs = output_tensor_names.size(); std::vector<Tensor> outputs(noutputs); Status result;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
DCHECK(upstream_grad); // Recover data format from forward pass for gradient. std::string data_format; TF_RETURN_IF_ERROR(forward_attrs_.Get("data_format", &data_format)); // Grad for A grad_inputs[0] = upstream_grad; grad_inputs[0]->Ref(); // Grad for bias std::string name = "bias_add_grad"; TF_RETURN_IF_ERROR(BiasAddGrad(ctx, upstream_grad, &grad_inputs[1],
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/c_api_unified_experimental.cc
#include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/types.h" using tensorflow::string; namespace tensorflow { namespace tracing { typedef absl::flat_hash_map<std::string, tracing::FactoryFunction> FactoriesMap; static FactoriesMap& GetFactories() { static FactoriesMap* factories = new FactoriesMap; return *factories; } static tracing::FactoryFunction default_factory;
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/custom_gradient_test.cc
namespace tensorflow { namespace gradients { namespace internal { namespace { using std::vector; class CustomGradientTest : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); Status s = StatusFromTF_Status(status.get());
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/c_api_experimental.cc
InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def, std::vector<ShapeHandle>(num_inputs), input_tensors_vector, {}, std::vector<std::unique_ptr<std::vector<ShapeAndType>>>()); // Set input_shapes. for (int i = 0; i < num_inputs; ++i) { std::vector<DimensionHandle> dims; const TF_ShapeAndType& input_shape = input_shapes->items[i];
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/experimental/gradients/grad_test_helper.cc
} } TF_DeleteTensor(analytical_tensor); delete[] danalytical; } Model BuildGradModel(Model forward, GradientRegistry registry) { return [forward_model = std::move(forward), grad_registry = std::move(registry)]( AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) -> Status {
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/eager/graph_function.cc
#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()); return absl::OkStatus(); } } // namespace graph
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
const string& op_name) { std::vector<int64_t> input_ids(inputs.size()); std::vector<tensorflow::DataType> input_dtypes(inputs.size()); for (int i = 0; i < inputs.size(); i++) { input_ids[i] = ToId(inputs[i]); input_dtypes[i] = inputs[i]->DataType(); } std::vector<TapeTensor> tape_tensors; tape_tensors.reserve(outputs.size()); for (auto t : outputs) {
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/experimental/gradients/array_grad_test.cc
temp_outputs[0]->Unref(); return absl::OkStatus(); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); status_ = StatusFromTF_Status(status.get()); ASSERT_EQ(errors::OK, status_.code()) << status_.message();
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/eager/immediate_execution_tensor_handle.cc
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h" namespace tensorflow { std::string ImmediateExecutionTensorHandle::DebugString() const { PartialTensorShape shape; std::string shape_string; if (Shape(&shape).ok()) { shape_string = shape.DebugString(); } else { shape_string = "<error computing shape>"; } std::string value_string; if (!SummarizeValue(value_string).ok()) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0)