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Results 1 - 10 of 65 for zstd (0.14 sec)
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_helper.cc
#include <string> #include <utility> TempFile::TempFile(const std::string& temp_file_name, std::ios::openmode mode) : std::fstream(temp_file_name, mode), name_(temp_file_name) {} TempFile::TempFile(TempFile&& rhs) : std::fstream(std::move(rhs)), name_(std::move(rhs.name_)) {} TempFile::~TempFile() { std::fstream::close(); std::remove(name_.c_str()); } const std::string TempFile::getName() const { return name_; }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Jun 26 14:56:58 GMT 2020 - 1.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
namespace tensorflow { namespace parallel_device { TEST(PARALLEL_DEVICE, TestRemoteBasic) { std::unique_ptr<TFE_ContextOptions, decltype(&TFE_DeleteContextOptions)> opts( TFE_NewContextOptions(), TFE_DeleteContextOptions); std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); std::unique_ptr<TFE_Context, decltype(&TFE_DeleteContext)> context(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
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/dlpack_test.cc
namespace { void TestHandleFromDLPack(TF_Status* status, TFE_Context* ctx, std::vector<int64_t> shape, std::vector<int64_t> strides) { size_t num_elements = 1; for (int i = 0; i < static_cast<int32_t>(shape.size()); ++i) { num_elements *= shape[i]; } std::vector<float> data(num_elements); for (size_t j = 0; j < num_elements; ++j) { data[j] = j; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jun 30 03:04:46 GMT 2023 - 4.4K 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/eager/parallel_device/parallel_device_lib_test.cc
vector_handles.push_back(std::move(two_vector)); vector_handles.push_back(std::move(three_vector)); std::unique_ptr<ParallelTensor> unknown_length_vector = ParallelTensor::FromTensorHandles( parallel_device, std::move(vector_handles), status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); const std::vector<int64_t>* shape; TF_ASSERT_OK(unknown_length_vector->Shape(&shape));
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/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)