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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/eager/c_api_unified_experimental_graph.cc
} if (op_type_.empty()) { return errors::FailedPrecondition( "GraphOperation::Reset must be called before calling SetOpName."); } // TODO(b/145674566): We use Graph::NewName to get a unique name here but // this may not be consistent with python's naming policy. mutex_lock l(g_->mu); op_.reset(new TF_OperationDescription(g_, op_type_.c_str(),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
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) -
tensorflow/c/eager/tfe_executor_internal.h
: owned_executor(nullptr), unowned_executor(executor) {} tensorflow::EagerExecutor* executor() { return owned_executor == nullptr ? unowned_executor : owned_executor.get(); } std::unique_ptr<tensorflow::EagerExecutor> owned_executor; tensorflow::EagerExecutor* unowned_executor; };
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Nov 22 20:30:59 GMT 2022 - 1.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
Variable* Variable::Create(TFE_Context* context, TF_DataType type, const int64_t* dims, const int num_dims, const char* device, TF_Status* status) { std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op( TFE_NewOp(context, "VarHandleOp", status), TFE_DeleteOp); if (TF_GetCode(status) != TF_OK) return nullptr; TFE_OpSetAttrType(op.get(), "dtype", type);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K 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/parallel_device/parallel_device.cc
namespace parallel_device { namespace { class OpDeleter { public: void operator()(TFE_Op* to_delete) const { TFE_DeleteOp(to_delete); } }; using OpPtr = std::unique_ptr<TFE_Op, OpDeleter>; using MaybeParallelTensorOwned = absl::variant<std::unique_ptr<ParallelTensor>, TensorHandlePtr>; using MaybeParallelTensorUnowned = absl::variant<ParallelTensor*, TFE_TensorHandle*>;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/c_test_util.h
#include "tensorflow/core/framework/node_def.pb.h" #include "tensorflow/core/framework/types.pb.h" #include "tensorflow/core/platform/test.h" using ::tensorflow::string; typedef std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> unique_tensor_ptr; TF_Tensor* BoolTensor(int32_t v); // Create a tensor with values of type TF_INT8 provided by `values`. TF_Tensor* Int8Tensor(const int64_t* dims, int num_dims, const char* values);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 09 01:06:53 GMT 2018 - 6K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/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 May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 12.7K bytes - Viewed (0)