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tensorflow/c/eager/immediate_execution_operation.h
namespace internal { struct ImmediateExecutionOperationDeleter { void operator()(ImmediateExecutionOperation* p) const { if (p != nullptr) { p->Release(); } } }; } // namespace internal using ImmediateOpPtr = std::unique_ptr<ImmediateExecutionOperation, internal::ImmediateExecutionOperationDeleter>; } // namespace tensorflow
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
tensorflow/c/eager/abstract_context.h
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:16:58 GMT 2021 - 3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
// // `device_name` must not name an existing physical or custom device (see // the documentation for TFE_RegisterCustomDevice for more information). // // Tensors may be copied on or off the device explicitly using // TPUReplicatedInput and TPUReplicatedOutput respectively. For example, with // two component devices, running `x = TPUReplicatedInput(inputs=[a, b])` on the // parallel device creates a parallel tensor `x` with `a` on the first of
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jun 04 21:49:16 GMT 2020 - 2.9K bytes - Viewed (0) -
src/cmd/cgo/internal/test/issue26213/jni.h
// Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. // It's going to be hard to include a whole real JVM to test this. // So we'll simulate a really easy JVM using just the parts we need. // This is the relevant part of jni.h. // On Android NDK16, jobject is defined like this in C and C++ typedef void* jobject; typedef jobject jclass; typedef jobject jthrowable;
C - Registered: Tue Mar 26 11:13:08 GMT 2024 - Last Modified: Fri May 12 12:00:02 GMT 2023 - 874 bytes - Viewed (0) -
tensorflow/c/eager/abstract_function.h
// Returns a shared reference to the wrapped function. virtual absl::StatusOr<core::RefCountPtr<FunctionRecord>> GetFunctionRecord() = 0; private: const AbstractFunctionKind kind_; }; using AbstractFunctionPtr = tensorflow::core::IntrusivePtr<tensorflow::AbstractFunction>; } // namespace tensorflow
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Mar 04 19:49:06 GMT 2024 - 1.9K bytes - Viewed (0) -
tensorflow/c/eager/tfe_monitoring_internal.h
using TFE_MonitoringGauge::TFE_MonitoringGauge; }; struct TFE_MonitoringStringGauge1 : TFE_MonitoringGauge<tensorflow::string, 1> { using TFE_MonitoringGauge::TFE_MonitoringGauge; }; struct TFE_MonitoringStringGauge2 : TFE_MonitoringGauge<tensorflow::string, 2> { using TFE_MonitoringGauge::TFE_MonitoringGauge; }; struct TFE_MonitoringStringGauge3 : TFE_MonitoringGauge<tensorflow::string, 3> {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 5.2K bytes - Viewed (0) -
tensorflow/c/eager/graph_function.h
#include "tensorflow/c/eager/abstract_function.h" #include "tensorflow/core/framework/function.h" #include "tensorflow/core/platform/refcount.h" namespace tensorflow { namespace tracing { namespace graph { using tensorflow::AbstractFunction; // Thin wrapper around a FunctionDef. class GraphFunction : public AbstractFunction { public: explicit GraphFunction(FunctionDef fdef); ~GraphFunction() override;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Mar 04 19:49:06 GMT 2024 - 1.8K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
// if (d.IsBad()) { // LOG(ERROR) << "Bad Data"; // return; // } // PushGoodData(d); // } // } // // You can use Cleanup<F> directly, instead of using MakeCleanup and auto, // but there's rarely a reason to do that. // // You can call 'release()' on a Cleanup object to cancel the cleanup. #ifndef TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_CLEANUP_H_
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 11:16:00 GMT 2020 - 3.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
GradientFunction, TapeTensor> { public: using GradientTape<AbstractTensorHandle, GradientFunction, TapeTensor>::GradientTape; // Returns whether the tape is persistent, i.e., whether the tape will hold // onto its internal state after a call to `ComputeGradient`. using GradientTape<AbstractTensorHandle, GradientFunction, TapeTensor>::IsPersistent;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K 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)