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tensorflow/c/experimental/gradients/math_grad_test.cc
#include "tensorflow/c/experimental/gradients/tape/tape_context.h" #include "tensorflow/c/experimental/ops/math_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/tensor_float_32_utils.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { namespace { using tensorflow::TF_StatusPtr;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test.cc
TFE_TensorHandle* retvals[1]; int num_retvals = 1; TFE_Execute(matmul, &retvals[0], &num_retvals, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TF_Tensor* t = TFE_TensorHandleResolve(retvals[0], status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); float product[4] = {0}; EXPECT_EQ(sizeof(product), TF_TensorByteSize(t));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 12 00:14:22 GMT 2020 - 5.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_cluster_test.cc
const std::vector<float>& expected_values) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TF_Tensor* t = TFE_TensorHandleResolve(handle, status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); std::unique_ptr<float[]> actual_values(new float[expected_values.size()]);
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/immediate_execution_tensor_handle.cc
See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" namespace tensorflow { std::string ImmediateExecutionTensorHandle::DebugString() const { PartialTensorShape shape; std::string shape_string; if (Shape(&shape).ok()) {
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/dlpack.cc
DLManagedTensor* dlm_tensor = &tf_dlm_tensor_ctx->tensor; dlm_tensor->manager_ctx = tf_dlm_tensor_ctx; dlm_tensor->deleter = &DLManagedTensorDeleter; dlm_tensor->dl_tensor.device = tf_dlm_context; int ndim = tensor->dims(); dlm_tensor->dl_tensor.ndim = ndim; dlm_tensor->dl_tensor.data = tf_dlm_data; dlm_tensor->dl_tensor.dtype = tf_dlm_type;
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/eager/gradients.cc
std::vector<int64_t> tensor_ids(tensors.size()); std::vector<tensorflow::DataType> tensor_dtypes(tensors.size()); for (int i = 0; i < tensors.size(); i++) { tensor_ids[i] = ToId(tensors[i]); tensor_dtypes[i] = tensors[i]->DataType(); } return GradientTape::ShouldRecord(tensor_ids, tensor_dtypes); } void Tape::DeleteTrace(const AbstractTensorHandle* t) {
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/c_test_util.cc
const char* name) { unique_tensor_ptr tensor(Int32Tensor(v), TF_DeleteTensor); return Const(tensor.get(), graph, s, name); } TF_Operation* ScalarConst(double v, TF_Graph* graph, TF_Status* s, const char* name) { unique_tensor_ptr tensor(DoubleTensor(v), TF_DeleteTensor); return Const(tensor.get(), graph, s, name); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/experimental/grappler/grappler.cc
const std::vector<tensorflow::OpInfo::TensorProperties>& tensor_properties = reinterpret_cast<tensorflow::grappler::GraphProperties*>(graph_properties) ->GetInputProperties(name); const int len = std::min(num_values, static_cast<int>(tensor_properties.size())); for (int i = 0; i < len; ++i) { absl::Status s = tensorflow::MessageToBuffer(tensor_properties[i], properties[i]); if (!s.ok()) {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/array_grad_test.cc
#include "tensorflow/c/experimental/gradients/tape/tape_context.h" #include "tensorflow/c/experimental/ops/array_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/tensor_float_32_utils.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace gradients { namespace internal { namespace { using tensorflow::TF_StatusPtr;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/custom_device_test.cc
TFE_TensorHandle* var_value_unpacked = UnpackTensorHandle(var_value, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> resolved_value( TFE_TensorHandleResolve(var_value_unpacked, status.get()), TF_DeleteTensor); 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)