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Results 1 - 10 of 21 for TensorHandle (0.16 sec)
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tensorflow/c/eager/c_api_cluster_test.cc
const char dev1_name[] = "/job:localhost/replica:0/task:1/device:CPU:0"; TFE_TensorHandle* var_handle0 = TestVariable(ctx, 1.0, dev0_name); EXPECT_NE(var_handle0, nullptr); TFE_TensorHandle* var_handle1 = TestVariable(ctx, 2.0, dev1_name); EXPECT_NE(var_handle1, nullptr); TFE_TensorHandle* value_handle = nullptr; ReadVariable(ctx, var_handle1, &value_handle);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/dlpack_test.cc
dltensor_in->device = {kDLCPU, 0}; dltensor_in->ndim = static_cast<int32_t>(shape.size()); dltensor_in->dtype = {kDLFloat, 32, 1}; dltensor_in->shape = shape.data(); dltensor_in->strides = strides.data(); TFE_TensorHandle* handle = TFE_HandleFromDLPack(&dlm_in, status, ctx); ASSERT_NE(handle, nullptr) << TF_Message(status) << " (shape=[" << absl::StrJoin(shape, ",") << "], strides=[" << absl::StrJoin(strides, ",") << "])";
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jun 30 03:04:46 GMT 2023 - 4.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
TensorHandlePtr value_two(FloatTensorHandle(-2., status.get())); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); std::array<TFE_TensorHandle*, 2> in_components{value_one.get(), value_two.get()}; TensorHandlePtr combined_value = CreatePerDeviceValues( context.get(), in_components, device_name, 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/dlpack.cc
// Gets tensor from eager tensor handle. const Tensor* GetTensorFromHandle(TFE_TensorHandle* h, TF_Status* status) { if (h == nullptr) { status->status = tensorflow::errors::InvalidArgument("Invalid handle"); return nullptr; } tensorflow::TensorHandle* handle = tensorflow::TensorHandleFromInterface(tensorflow::unwrap(h)); if (handle->Type() != TensorHandle::LOCAL) { status->status = tensorflow::errors::InvalidArgument(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
#include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_internal.h" #include "tensorflow/c/eager/tfe_context_internal.h" #include "tensorflow/c/eager/tfe_op_internal.h" #include "tensorflow/c/eager/tfe_tensorhandle_internal.h" #include "tensorflow/c/tf_buffer_internal.h" #include "tensorflow/compiler/jit/flags.h" #include "tensorflow/core/common_runtime/eager/attr_builder.h" #include "tensorflow/core/common_runtime/eager/context.h"
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/immediate_execution_tensor_handle.cc
} Status s; const char* device_name = DeviceName(&s); if (!s.ok()) { device_name = "<error fetching device name>"; } return absl::StrCat("TensorHandle(", value_string, ", shape=", shape_string, ", dtype=", DataType_Name(DataType()), ", device=\"", device_name, "\")"); } Status ImmediateExecutionTensorHandle::SummarizeValue(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
int num_retvals = 1; TFE_TensorHandle* var_value = nullptr; TFE_Execute(op.get(), &var_value, &num_retvals, status); if (TF_GetCode(status) != TF_OK) return nullptr; return TensorHandlePtr(var_value); } void Variable::GeneralAssignment(const char* op_name, TFE_Context* context, TFE_TensorHandle* value, TF_Status* status) {
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/parallel_device/parallel_device.cc
const std::string& parallel_device_name, TFE_Context* context, std::unique_ptr<ParallelTensor> t, TF_Status* status) { // The resulting TensorHandle owns an opaque pointer to "device memory", which // for a ParallelDevice is really a ParallelTensor. When the TensorHandle is // deleted, it will call ParallelTensorDeallocator to free the struct. ParallelTensor* t_released = t.release();
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/parallel_device/parallel_device_lib.cc
std::unique_ptr<ParallelTensor> ParallelDevice::CopyToParallelDevice( TFE_Context* context, TFE_TensorHandle* tensor, TF_Status* status) const { 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);
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/c_api_distributed_test.cc
const char task2_name[] = "/job:localhost/replica:0/task:2/device:CPU:0"; // Create one variable per task. TFE_TensorHandle* h0 = TestVariable(ctx, 1.0, task1_name); TFE_TensorHandle* h1 = TestVariable(ctx, 2.0, task2_name); TFE_TensorHandle* h2 = TestVariable(ctx, 3.0, task0_name); // Add a sync point to make sure that variables have been initialized // before the function execution starts.
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)