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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// A non-blocking version of `Execute`. After each call, `Join` must be called // before `StartExecute` is called again. Using `StartExecute` with `Join` // allows the caller to schedule computation on multiple ParallelDevices // without sequencing those operations (first call `StartExecute` on each // parallel device, then call `Join` on each; even if some of the `Join`s
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
namespace tensorflow { namespace parallel_device { // Allocate a parallel device named `device_name` which forwards operations to // `underlying_devices`, maintaining "parallel tensors" with components placed // on each underlying device. // // For example if `device_name` is // "/job:localhost/replica:0/task:0/device:CUSTOM:0" // and `underlying_devices` is // {"/job:localhost/replica:0/task:0/device:GPU:0",
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) -
tensorflow/c/c_api.h
// of fetched mappings is returned in `num_missing_unused_input_mappings`. The // array of each mapping's source node name is returned in `src_names`, and the // array of each mapping's source index is returned in `src_indexes`. // // `*src_names`, `*src_indexes`, and the memory backing each string in // `src_names` are owned by and have the lifetime of `results`.
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/tape.h
// // First we filter the tape to just the subset of operations we want to // differentiate. In the process of doing so we count how many times each Tensor // is used as an input to an op (so we know when we're done computing gradients // for that Tensor). We also count, for each tape entry, how many of its output // Tensors need gradients to be computed (Tensors which are not used do not need // any gradients to be computed). //
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/plugins/gcs/gcs_helper.h
#define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_GCS_HELPER_H_ #include <fstream> #include <string> class TempFile : public std::fstream { public: // We should specify openmode each time we call TempFile. TempFile(const std::string& temp_file_name, std::ios::openmode mode); TempFile(TempFile&& rhs); ~TempFile() override; const std::string getName() const; bool truncate(); private:
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Jun 26 14:56:58 GMT 2020 - 1.2K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.h
// Get a set of node names that must be preserved. They can not be transformed // or removed during the graph transformation. This includes feed and fetch // nodes, keep_ops, init_ops. Fills in `values` and `lengths`, each of which // must point to an array of length at least `num_values`. // // The elements of values will point to addresses in `storage` which must be at // least `storage_size` bytes in length. `num_values` and `storage` can be
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
tensorflow/c/c_api_internal.h
// Maps from name of an operation to the Node* in 'graph'. std::unordered_map<tensorflow::string, tensorflow::Node*> name_map TF_GUARDED_BY(mu); // The keys of this map are all the active sessions using this graph. Each // value records whether the graph has been mutated since the corresponding // session has been run (this is detected in RecordMutation function). If the // string is empty, no mutation has occurred. Otherwise the string is a
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/filesystem_interface.h
/// by this interface, supplying values for each of these structures. Core /// TensorFlow checks that the plugin supplies all mandatory operations and /// then copies these tables to a different memory location, marking the new /// operation tables as read-only. Once a plugin is loaded, none of these /// operation pointers may change. /// /// There are 4 function tables: one for each of the 3 file objects in
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tensorflow/c/eager/gradients.h
// a map (`tensorflow::eager::TensorTape`) from the wrapped tensor to the id of // the op that produced it (or -1 if this tensor was watched using // `GradientTape::Watch`.) The op_id is simply a unique index assigned to each // op executed under the tape. A separate map (`tensorflow::eager::OpTape`) // maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`,
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
// scope for now. I'm just mentioning this here as that transition will mean // 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:
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