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Results 1 - 8 of 8 for make_unique (0.21 sec)
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tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
CHECK_OK(buffer.status()); return new PJRT_Buffer{std::move(*buffer), c_api_client->pjrt_c_client()}; } TEST(TensorPjRtBufferUtilTest, GetPjRtCBufferFromTensorNoBuffer) { auto allocator = std::make_unique<AsyncValueAllocator>(); tensorflow::Tensor tensor(allocator.get(), DT_FLOAT, {1}); EXPECT_THAT( GetPjRtCBufferFromTensor(&tensor), StatusIs(error::INTERNAL, HasSubstr(absl::StrCat(
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.cc
auto file = std::make_unique<TF_RandomAccessFile>(); std::string translated_name = TranslateName(fname); ops_->new_random_access_file(filesystem_.get(), translated_name.c_str(), file.get(), plugin_status.get()); if (TF_GetCode(plugin_status.get()) == TF_OK) *result = std::make_unique<ModularRandomAccessFile>(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 23.1K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util.cc
} absl::Status SetPjRtCBufferToTensor(PJRT_Buffer* c_buffer, xla::PjRtCApiClient* c_api_client, Tensor* tensor) { auto buffer = std::make_unique<xla::PjRtCApiBuffer>(c_api_client, c_buffer); tensorflow::AsyncValueTensor* av_tensor = tensorflow::AsyncValueTensor::FromTensor(tensor); if (av_tensor == nullptr) { TF_ASSIGN_OR_RETURN(
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 3.7K bytes - Viewed (0) -
tensorflow/c/eager/gradients_test.cc
int num_retvals = 1; std::vector<AbstractTensorHandle*> outputs(1); GradientRegistry registry; s = RegisterGradients(®istry); ASSERT_EQ(errors::OK, s.code()) << s.message(); auto tape = std::make_unique<Tape>(/*persistent=*/false); s = Execute(check_numerics_op.get(), ctx.get(), absl::MakeSpan(outputs), &num_retvals, &forward_op, tape.get(), registry); ASSERT_EQ(errors::OK, s.code()) << s.message();
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
ParallelDevice::ParallelDevice(const std::vector<std::string>& devices, bool is_async, int in_flight_nodes_limit) : underlying_devices_(devices), default_cancellation_manager_(absl::make_unique<CancellationManager>()) { device_threads_.reserve(devices.size()); for (int device_index = 0; device_index < devices.size(); ++device_index) { device_threads_.emplace_back(new DeviceThread(
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/c_api_distributed_test.cc
tensorflow::optimization_registration::OptimizationPassRegistration register_test_pass(tensorflow::OptimizationPassRegistry::PRE_PLACEMENT, 0, std::make_unique<GraphErrorInjectionPass>(), "error_injector"); GraphErrorInjectionPass::enabled_ = true; tensorflow::ServerDef server_def = GetServerDef(3);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
file_block_cache = std::make_unique<RamFileBlockCache>( block_size, max_bytes, max_staleness, [this](const std::string& filename, size_t offset, size_t buffer_size, char* buffer, TF_Status* status) { return LoadBufferFromGCS(filename, offset, buffer_size, buffer, this, status); }); stat_cache = std::make_unique<ExpiringLRUCache<GcsFileStat>>(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 23 06:55:53 GMT 2023 - 46.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
/*run_eager_op_as_function=*/opts->run_eager_op_as_function, /*jit_compile_rewrite=*/opts->jit_compile_rewrite); #if !defined(IS_MOBILE_PLATFORM) eager_context->SetDistributedManager( std::make_unique<tensorflow::EagerContextDistributedManager>( eager_context)); #endif // !IS_MOBILE_PLATFORM return tensorflow::wrap(eager_context); } void TFE_DeleteContext(TFE_Context* ctx) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2)