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tensorflow/c/c_api.h
// 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 // a node outside of the body into a node in the body. This applies to control // edges going from nodes referenced in `inputs` to nodes in the body when // the former nodes are not in the body (automatically skipped or not // included in explicitly specified body).
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/eager/c_api_experimental.h
// Creates a new eager Executor. Nodes in one executor are guaranteed to be // executed in sequence. Assigning nodes to different executors allows executing // nodes in parallel. // in_flight_nodes_limit: when is_async is true, this value controls the // maximum number of in flight async nodes. Enqueuing of additional async ops // after the limit is reached blocks until some inflight nodes finishes.
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/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
#include "tensorflow/core/util/device_name_utils.h" namespace tensorflow { class EagerExecutor; class EagerContext; class CustomDevice; class CustomDeviceOpHandler; class Device; // LINT.IfChange // Note: Keep in sync with exported copy of enum in eager/c_api.h. enum ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. DEVICE_PLACEMENT_EXPLICIT = 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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