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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
return OkStatus(); } // Checks if the plugin and core ABI numbers match, for all operations. // // If the numbers don't match, plugin cannot be loaded. // // Uses the simpler `CheckABI(int, int, StringPiece)`. static Status ValidateABI(const TF_FilesystemPluginOps* ops) { TF_RETURN_IF_ERROR( CheckABI(ops->filesystem_ops_abi, TF_FILESYSTEM_OPS_ABI, "filesystem"));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 07 22:08:43 GMT 2023 - 12.8K bytes - Viewed (0) -
LICENSE
Copyright (c) 2014, The Regents of the University of California (Regents) All rights reserved. All other contributions: Copyright (c) 2014, the respective contributors All rights reserved. Caffe uses a shared copyright model: each contributor holds copyright over their contributions to Caffe. The project versioning records all such contribution and copyright details. If a contributor wants to further mark
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Nov 29 17:31:56 GMT 2021 - 13.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
} private: TFE_Context* context_; TFE_CustomDevice device_; void* info_; string name_; }; // An adapter which wraps the shape/data produced by C custom devices and uses // it to implement custom device methods. class CAPICustomDeviceTensorHandle : public tensorflow::CustomDeviceTensorHandle { public: CAPICustomDeviceTensorHandle(tensorflow::ImmediateExecutionContext* context,
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tensorflow/c/eager/BUILD
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tensorflow/c/eager/tape.h
// computations. void PushState() { call_state_.emplace(nullptr, false); } void PopState() { call_state_.pop(); } private: // Helper for Accumulate: uses a GradientTape to compute forward gradients // from a backward gradient function. Fills `out_grads` corresponding to // `output_tensors`. `out_grads` must not be null. //
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_lib.h
// `components` to determine a shape. static std::unique_ptr<ParallelTensor> FromTensorHandles( const ParallelDevice& parallel_device, std::vector<TensorHandlePtr> components, TF_Status* status); // Uses the provided shape without additional checks, which avoids blocking // when ParallelTensor::Shape is called. static std::unique_ptr<ParallelTensor> FromTensorHandles( const ParallelDevice& parallel_device,
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