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tensorflow/c/eager/custom_device_test.cc
TF_DeleteTensor); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); ASSERT_EQ(111., *static_cast<float*>(TF_TensorData(resolved_value.get()))); // Free the backing buffer for the variable. op.reset(TFE_NewOp(context.get(), "DestroyResourceOp", status.get())); TFE_OpAddInput(op.get(), var_handle, status.get()); TFE_OpSetDevice(op.get(), name, 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/gradients.cc
} // TODO(b/166669239): This is needed to support AttrBuilder::Get for string // attributes. Number type attrs and DataType attrs work fine without this. // Consider getting rid of this and making the behavior between number types // and string consistent. forward_op_->attrs.BuildNodeDef(); std::unique_ptr<GradientFunction> gradient_fn; TF_RETURN_IF_ERROR(registry.Lookup(*forward_op_, &gradient_fn));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
if (TF_GetCode(status) != TF_OK) return nullptr; return new Variable(var_handle, type); } void Variable::Destroy(TFE_Context* context, TF_Status* status) { // Free the backing buffer for the variable. std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op( TFE_NewOp(context, "DestroyResourceOp", status), &TFE_DeleteOp); if (TF_GetCode(status) != TF_OK) return;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test_util.cc
ASSERT_TRUE(remote_arg->HasLocalMirror(nullptr)); } if (remote_func_outputs) { const string backing_device = TFE_TensorHandleBackingDeviceName(retvals[0], status); ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); EXPECT_EQ(backing_device, task2_name); } auto* retval_task0 = TFE_TensorHandleCopyToDevice(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
bool downloaded_block = false; auto reconcile_state = MakeCleanup([this, &downloaded_block, &key, &block] { // Perform this action in a cleanup callback to avoid locking mu_ after // locking block->mu. if (downloaded_block) { absl::MutexLock l(&mu_); // Do not update state if the block is already to be evicted. if (block->timestamp != 0) {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 16 01:39:09 GMT 2020 - 11.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
// .backing_device of shape is CPU since the tensor is backed by CPU backing_device_name = TFE_TensorHandleBackingDeviceName(retvals[0], status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); ASSERT_TRUE(absl::StrContains(backing_device_name, "CPU:0")) << backing_device_name; TFE_DeleteOp(shape_op);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/modular_filesystem.cc
#include "tsl/platform/errors.h" // TODO(b/139060984): After all filesystems are converted, all calls to // methods from `FileSystem` will have to be replaced to calls to private // methods here, as part of making this class a singleton and the only way to // register/use filesystems. namespace tensorflow { using UniquePtrTo_TF_Status = ::std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)>;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 23.1K bytes - Viewed (0)