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Results 1 - 5 of 5 for ParallelTensor (0.27 sec)
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tensorflow/c/eager/parallel_device/parallel_device.cc
using MaybeParallelTensorOwned = absl::variant<std::unique_ptr<ParallelTensor>, TensorHandlePtr>; using MaybeParallelTensorUnowned = absl::variant<ParallelTensor*, TFE_TensorHandle*>; // A ParallelDevice on its own is not registered with a TFE_Context, and so has // no device name (e.g. for `tf.device`). `NamedParallelDevice` associates a // name with it, which lets us pack its `ParallelTensor`s into TFE_TensorHandles // placed on the parallel device.
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
// ParallelDevice. class ParallelTensor { public: // Construct a ParallelTensor from TensorHandles placed on the component // devices of a ParallelDevice. If called, ParallelTensor::Shape inspects // `components` to determine a shape. static std::unique_ptr<ParallelTensor> FromTensorHandles( const ParallelDevice& parallel_device,
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 13.1K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
TF_SetStatus(status, TF_INTERNAL, "Components of a ParallelTensor must all have " "the same dtype"); return nullptr; } } return std::unique_ptr<ParallelTensor>( new ParallelTensor(parallel_device, std::move(components), shape, dtype)); } std::unique_ptr<ParallelTensor> ParallelTensor::FromTensorHandles( const ParallelDevice& parallel_device,
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
parallel_device.Execute(context.get(), std::vector<ParallelTensor*>(), "VarHandleOp", TFE_OpGetAttrs(handle_op.get()), /*expected_max_outputs=*/1, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs; std::vector<ParallelTensor*> handle_inputs; handle_inputs.reserve(handles.size());
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
&incorrect_components, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_INVALID_ARGUMENT) << TF_Message(status.get()); } { // Try to pass a ParallelTensor to TPUReplicatedInput std::array<TFE_TensorHandle*, 1> correct_components{value_one.get()}; TensorHandlePtr combined_value = CreatePerDeviceValues( context.get(), correct_components, device_name, status.get());
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Aug 06 23:56:17 UTC 2024 - 29.4K bytes - Viewed (0)