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tensorflow/c/c_api_experimental.cc
shape.dims = nullptr; continue; } shape.dims = new int64_t[shape.num_dims]; for (size_t j = 0; j < shape.num_dims; ++j) { shape.dims[j] = c.Value(c.Dim(shape_handle, j)); } } if (output_shapes != nullptr) *output_shapes = output_shapes_result; // TODO(bgogul): Set output_resource_shapes_and_types. }
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/c_api.cc
auto* out_shape_and_type = handle_data.add_shape_and_type(); ic->ShapeHandleToProto(p.shape, out_shape_and_type->mutable_shape()); out_shape_and_type->set_dtype(p.dtype); *out_shape_and_type->mutable_type() = p.type; } } string str_data; handle_data.SerializeToString(&str_data); TF_Buffer* result = TF_NewBufferFromString(str_data.c_str(), str_data.size()); return result;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
fastapi/_compat.py
sequence_shapes = { SHAPE_LIST, SHAPE_SET, SHAPE_FROZENSET, SHAPE_TUPLE, SHAPE_SEQUENCE, SHAPE_TUPLE_ELLIPSIS, } sequence_shape_to_type = { SHAPE_LIST: list, SHAPE_SET: set, SHAPE_TUPLE: tuple, SHAPE_SEQUENCE: list, SHAPE_TUPLE_ELLIPSIS: list, } @dataclass
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 22.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
// devices of a ParallelDevice. If called, ParallelTensor::Shape inspects // `components` to determine a shape. static std::unique_ptr<ParallelTensor> FromTensorHandles( const ParallelDevice& parallel_device, std::vector<TensorHandlePtr> components, TF_Status* status); // Uses the provided shape without additional checks, which avoids blocking // when ParallelTensor::Shape is called.
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
if (combined_shape.dims() < 0 || combined_shape.dims() != component_shape.dims()) { PartialTensorShape first_shape; TF_RETURN_IF_ERROR(unwrap(tensors_[0].get())->Shape(&first_shape)); return errors::Unimplemented(absl::StrCat( "Computing the shape of a ParallelTensor when the components do " "not all have the same rank is not supported. One tensor had " "shape ",
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/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/c_api_experimental_test.cc
/*input_tensors*/ {}, /*expected_shape*/ make_shape({3, kUnknownDim})); // Infer shape when some dimensions are unknown. CheckOutputShapes( matmul_op, /*input_shapes*/ {make_shape({kUnknownDim, 2}), make_shape({2, 4})}, /*input_tensors*/ {}, /*expected_shape*/ make_shape({kUnknownDim, 4})); // Infer shape when everything is unknown.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 17 22:27:52 GMT 2023 - 13.1K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
auto outputs = parallel_device.Join( /*expected_output_shapes=*/{PartialTensorShape({})}, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs; const std::vector<int64_t>* shape; Status s = handles[0]->Shape(&shape); ASSERT_TRUE(s.ok()); EXPECT_EQ(0, shape->size()); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/eager/abstract_tensor_handle.cc
namespace tensorflow { std::string AbstractTensorHandle::DebugString() const { PartialTensorShape shape; Status s = Shape(&shape); std::string shape_string; if (!s.ok()) { shape_string = "<error computing shape>"; } else { shape_string = shape.DebugString(); } return absl::StrCat("TensorHandle(shape=", shape_string, ", dtype=", DataType_Name(DataType()),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
// if you want shape inference to consider the input tensors of the // op for shape inference. // - The types need not be set in `input_shapes` as it is not used. // - The number of `input_tensors` should be the same as the number of items // in `input_shapes`. // // The results are returned in `output_shapes` and // `output_resource_shapes_and_types`. The caller is responsible for freeing the
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)