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tensorflow/c/c_api.h
// - `inputs` and `outputs` cannot have reference types. Reference types are // not exposed through C API and are being replaced with Resources. We support // reference types inside function's body to support legacy code. Do not // use them in new code. // - Every node in the function's body must have all of its inputs (including
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/c_api_experimental.h
// Caller must call TF_DeleteTensor() over the returned tensor. If the queue is // empty, this call is blocked. // // Tensors are enqueued via the corresponding TF enqueue op. // TODO(hongm): Add support for `timeout_ms`. TF_CAPI_EXPORT extern TF_Tensor* TF_DequeueNamedTensor(TF_Session* session, int tensor_id,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_operation.h
virtual Status SetInput(size_t index, ImmediateExecutionTensorHandle* input) = 0; virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means // that the argument need to be handled by a custom device. virtual bool HasCustomDeviceInput() const = 0;
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/c_api_experimental.h
// // This API is highly experimental, and in particular is expected to change when // it starts supporting operations with attributes and when tf.function support // is added. TF_CAPI_EXPORT extern void TFE_RegisterCustomDevice(TFE_Context* ctx, TFE_CustomDevice device,
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tensorflow/c/eager/gradients.h
AbstractTensorHandle* GetHandle() const; private: AbstractTensorHandle* handle_; }; // A tracing/immediate-execution agnostic tape. // // Gradient functions defined for this tape must support handling null incoming // gradients. class Tape : protected eager::GradientTape<AbstractTensorHandle, GradientFunction, TapeTensor> { public:
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/experimental/filesystem/modular_filesystem.h
plugin_memory_free_(std::move(plugin_memory_free)) {} ~ModularFileSystem() override { ops_->cleanup(filesystem_.get()); } TF_USE_FILESYSTEM_METHODS_WITH_NO_TRANSACTION_SUPPORT; Status NewRandomAccessFile( const std::string& fname, TransactionToken* token, std::unique_ptr<RandomAccessFile>* result) override; Status NewWritableFile(const std::string& fname, TransactionToken* token,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 8.9K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
// Following are helper functions to assist integrating TFRT with current // TF eager runtime. // TODO(b/172877902): These helper functions are currently used to support // PyFuncOp on TFRT, and might be useful for ops that directly use low // level TF APIs. Remove/replace the following functions when TFRT native // ops are implemented.
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// * `TF_FilesystemPluginInfo` struct: similar to the above structure, but /// collects information about all the file schemes that the plugin provides /// support for, as well as about the plugin's memory handling routines; /// * `TF_SetFilesystemVersionMetadata` function: must be called by plugins in /// their `TF_InitPlugin` to record the versioning information the plugins
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