- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 23 for underlying (0.21 sec)
-
tensorflow/c/eager/tfe_context_internal.h
#include "tensorflow/c/conversion_macros.h" #include "tensorflow/c/eager/immediate_execution_context.h" // Wraps a pointer to a context implementation. // // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying context object. Instead, call // TFE_DeleteContext who calls Release() on the context pointer and deletes // the TFE_Context structure. typedef struct TFE_Context TFE_Context;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/tfe_op_internal.h
#include "tensorflow/c/conversion_macros.h" #include "tensorflow/c/eager/immediate_execution_operation.h" // Wraps a pointer to an operation implementation. // // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying operation object. Instead, call // TFE_DeleteOp who calls Release() on the operation pointer and deletes // the TFE_Op structure. typedef struct TFE_Op TFE_Op;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/tfe_tensorhandle_internal.h
#include "tensorflow/c/eager/immediate_execution_tensor_handle.h" // Wraps a pointer to a tensor handle implementation. // // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying handle object. Instead, call // TFE_DeleteTensorHandle who calls Release() on the handle pointer and deletes // the TFE_TensorHandle structure.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0"; std::array<const char*, 2> underlying_devices{first_device, second_device}; RegisterParallelDevice(context.get(), device_name, underlying_devices, status.get()); 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 Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
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", // "/job:localhost/replica:0/task:0/device:GPU:1"}
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/eager/parallel_device/parallel_device_lib.h
TF_Status* status) const; // The number of devices operations run on. size_t num_underlying_devices() const { return underlying_devices_.size(); } // The devices operations run on. const std::vector<std::string>& underlying_devices() const { return underlying_devices_; } // Takes a description of a single operation being executed on the
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_lib.cc
std::vector<TensorHandlePtr> components; components.reserve(underlying_devices_.size()); for (const std::string& underlying_device_name : underlying_devices_) { TFE_TensorHandle* t = TFE_TensorHandleCopyToDevice( tensor, context, underlying_device_name.c_str(), status); if (TF_GetCode(status) != TF_OK) return nullptr; components.emplace_back(t); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_test.cc
const char* second_device_name = "/job:localhost/replica:0/task:0/device:CPU:1"; std::array<const char*, 2> underlying_devices{first_device_name, second_device_name}; RegisterParallelDevice(context.get(), device_name, underlying_devices, status.get()); ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 29.3K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// reads from the underlying filesystem. const size_t block_size_; /// The maximum number of bytes (sum of block sizes) allowed in the LRU cache. const size_t max_bytes_; /// The maximum staleness of any block in the LRU cache, in seconds. const uint64_t max_staleness_; /// The callback to read a block from the underlying filesystem. const BlockFetcher block_fetcher_;
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/eager/parallel_device/parallel_device.cc
std::vector<std::string> underlying_devices_vector; underlying_devices_vector.reserve(num_underlying_devices); for (int device_index = 0; device_index < num_underlying_devices; ++device_index) { underlying_devices_vector.push_back(underlying_devices[device_index]); } std::unique_ptr<ParallelDevice> parallel_device( new ParallelDevice(underlying_devices_vector)); *device_info =
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)