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tensorflow/c/eager/c_api_experimental.h
TF_Status* status); // Report error (specified by error_code and error_message) to other tasks in // the cluster. TF_CAPI_EXPORT extern void TFE_ReportErrorToCluster(TFE_Context* ctx, int error_code, const char* error_message,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// without using tensorflow python code, hence left unspecified here. // // Gradient is the type returned by gradient functions. In Python TF it's either // Tensor or IndexedSlices or None, which here we map to nullptr. Gradients need // to allow their size to be computed and they need to be passable to a backward // function and deleted (as the backprop code creates lots of gradients the user // is not interested in). //
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/c_api.h
// use them in new code. // - Every node in the function's body must have all of its inputs (including // control inputs). In other words, for every node in the body, each input // must be either listed in `inputs` or must come from another node in // the body. In particular, it is an error to have a control edge going from
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/experimental/filesystem/modular_filesystem.h
// removal of the registration part from `Env` and adding it here instead: we // will need tables to hold for each scheme the function tables that implement // the needed functionality instead of the current `FileSystemRegistry` code in // `core/platform/env.cc`. class ModularFileSystem final : public FileSystem { public: ModularFileSystem( std::unique_ptr<TF_Filesystem> filesystem, std::unique_ptr<const TF_FilesystemOps> filesystem_ops,
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
ImmediateExecutionOperation* CreateOperation() override = 0; // Returns whether the runtime is backed by TFRT or the legacy TF Eager // Runtime. This is necessary to decouple runtime-dependent // code that is layered on top of the runtime. virtual bool UsesTFRT() = 0; // List attributes of available devices virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
absl::Span<AbstractTensorHandle*>)>; // Runs `model` maybe wrapped in a function call op. This can be thought as // being equivalent to the following python code. // // if use_function: // outputs = tf.function(model)(inputs) // else: // outputs = model(inputs) Status RunModel(Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
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