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tensorflow/c/eager/c_api.h
// Create a new TFE_TensorHandle with the same contents as 'h' but placed // in the memory of the device name 'device_name'. // If source and destination are the same device, then this creates a new handle // that shares the underlying buffer. Otherwise, it currently requires at least // one of the source or destination devices to be CPU (i.e., for the source or // destination tensor to be placed in host memory).
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/custom_device_test.cc
&arrived, &executed, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); // Create a variable handle placed on the custom device. std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op( TFE_NewOp(context.get(), "VarHandleOp", status.get()), TFE_DeleteOp); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 18.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// // TFE_OpGetDevice(op) records the original placement of the operation. It may // be an empty string if no device was explicitly requested, but will // otherwise be the name of this custom device. Ops are placed onto a custom // device if any of their inputs are on that custom device, but custom devices // are free to set a bad status in order to require explicit placement. void (*execute)(const TFE_Op* op, int* num_outputs,
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/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// 3) `TF_OUT_OF_RANGE` if the read from the remote filesystem succeeded, but /// the file contents do not extend past `offset` and thus nothing was /// placed in `out`. /// 4) `TF_OK` otherwise (i.e. the read succeeded, and at least one byte was /// placed /// in `buffer`). /// /// Caller is responsible for allocating memory for `buffer`. /// `buffer` will be left unchanged in case of errors.
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
// library are platform-specific and are not documented here. // // On success, returns the newly created library handle and places OK in status. // The caller owns the library handle. // // On failure, returns nullptr and places an error status in status. TF_CAPI_EXPORT extern TF_Library* TF_LoadPluggableDeviceLibrary( const char* library_filename, TF_Status* status);
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/c_api_experimental.cc
TF_Output output{dequeue_op, 0}; TF_Tensor* ret; TF_SessionRun(session, /*run_options*/ nullptr, // input related parameters /*inputs*/ nullptr, /*input_values*/ nullptr, /*ninputs*/ 0, // output related parameters /*outputs*/ &output, /*output_values*/ &ret, /*noutputs*/ 1, /*targets*/ nullptr, /*ntargets*/ 0,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
using OpTape = std::unordered_map<int64_t, OpTapeEntry<BackwardFunction, TapeTensor>>; // Operations the tape needs to perform on tensors to do backpropagation. Named // "vspace" because a subset of these are related to a vector space, such as // adding gradients, getting zeroes, etc. Currently cannot be implemented // without using tensorflow python code, hence left unspecified here. //
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.cc
if (*requested_placement == '\0') { TF_SetStatus( status, TF_INTERNAL, "Ops must be placed on the parallel device explicitly, or their inputs " "first un-packed. Got an un-placed op with an input placed on the " "parallel device."); return; } TFE_Context* context = TFE_OpGetContext(original_op, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); // Pack 3 variable handles into one TFE_TensorHandle. // When remote is false, function device is placed on task0. Handle types are // REMOTE, REMOTE, LOCAL on task0. When remote is true, function device is // placed on task1, Handle types are LOCAL, REMOTE, LOCAL on task1. int num_replicas = 3; std::vector<TFE_TensorHandle*> handles = {h0, h1, h2};
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
namespace parallel_device { using TensorHandlePtr = tensorflow::Safe_TFE_TensorHandlePtr; class ParallelTensor; class DeviceThread; // Forwards operations to `devices`, maintaining ParallelTensor with components // placed on each underlying device. class ParallelDevice { public: // Eager async execution is only supported when remote eager is not in use // (b/157523095). explicit ParallelDevice(const std::vector<std::string>& devices,
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