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tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
using ::testing::HasSubstr; TEST(PARALLEL_DEVICE_LIB, TestOpWithError) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); std::unique_ptr<TFE_ContextOptions, decltype(&TFE_DeleteContextOptions)> opts( TFE_NewContextOptions(), TFE_DeleteContextOptions); std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> config( TF_CreateConfig( /*xla*/ false,
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) -
ci/official/utilities/code_check_full.bats
# Column 1 is left only, Column 2 is right only, Column 3 is shared lines # Select lines unique to actual_licenses, i.e. extra licenses. comm -1 -3 $BATS_TEST_TMPDIR/expected_licenses $BATS_TEST_TMPDIR/actual_licenses | grep -v -f $BATS_TEST_TMPDIR/allowed_to_be_extra > $BATS_TEST_TMPDIR/actual_extra_licenses || true # Select lines unique to expected_licenses, i.e. missing licenses
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 06 21:54:13 GMT 2024 - 13.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_cluster_test.cc
const std::vector<float>& expected_values) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TF_Tensor* t = TFE_TensorHandleResolve(handle, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); std::unique_ptr<float[]> actual_values(new float[expected_values.size()]);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 19.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
Tape tape(/*persistent=*/false); tape.Watch(inputs[0]); // Watch x. AbstractTensorHandle* exp_output; TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp")); std::unique_ptr<GradientFunction> gradient_function( new PassThroughGradientFunction); tape.RecordOperation(inputs, {exp_output}, gradient_function.release()); TF_RETURN_IF_ERROR(tape.ComputeGradient(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_remote_test.cc
tensorflow::ServerDef server_def = GetServerDef(2); // This server def has the task index set to 0. string serialized = server_def.SerializeAsString(); server_def.set_task_index(1); std::unique_ptr<tensorflow::GrpcServer> worker_server; ASSERT_TRUE(tensorflow::GrpcServer::Create( server_def, tensorflow::Env::Default(), &worker_server) .ok());
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/c_api_experimental.cc
using tensorflow::FunctionDef; using tensorflow::Node; using tensorflow::NodeBuilder; using tensorflow::Status; using tensorflow::errors::InvalidArgument; namespace { typedef std::unique_ptr<TF_Function, decltype(&TF_DeleteFunction)> UniqueFuncPtr; } // struct TF_Operation { tensorflow::Node node; }; static TF_Operation* ToTF_Operation(Node* node) {
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/tape.h
// TODO(apassos) consider narrowing down this interface. BackwardFunction* backward_function; // Should be called before deleting the backward function. TODO(apassos) use // unique_ptrs to ensure this happens. std::function<void(BackwardFunction*)> backward_function_deleter; }; // Map from tensor_id to internally-defined operation-id of the operation which
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
namespace parallel_device { using ::testing::HasSubstr; TEST(PARALLEL_DEVICE, TestBasicCPU) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); std::unique_ptr<TFE_ContextOptions, decltype(&TFE_DeleteContextOptions)> opts( TFE_NewContextOptions(), TFE_DeleteContextOptions); std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> config( TF_CreateConfig(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
std::unique_ptr<ParallelTensor> CopyToParallelDevice(TFE_Context* context, TFE_TensorHandle* tensor, TF_Status* status) const; // Construct a parallel tensor consisting of the scalar values from `values`. template <typename DataType> std::unique_ptr<ParallelTensor> ScalarsFromSequence(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
class OpDeleter { public: void operator()(TFE_Op* to_delete) const { TFE_DeleteOp(to_delete); } }; using OpPtr = std::unique_ptr<TFE_Op, OpDeleter>; class StatusDeleter { public: void operator()(TF_Status* to_delete) const { TF_DeleteStatus(to_delete); } }; using StatusPtr = std::unique_ptr<TF_Status, StatusDeleter>; class ExecutorDeleter { public: void operator()(TFE_Executor* to_delete) const {
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)