//***************************************************************************** // Copyright 2017-2019 Intel Corporation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. //***************************************************************************** #include <pybind11/pybind11.h> #include <pybind11/stl.h> #include "ngraph/descriptor/tensor.hpp" #include "ngraph/runtime/tensor.hpp" #include "pyngraph/runtime/tensor.hpp" namespace py = pybind11; static void read_(ngraph::runtime::Tensor* self, void* p, size_t n) { self->read(p, n); } static void write_(ngraph::runtime::Tensor* self, void* p, size_t n) { self->write(p, n); } void regclass_pyngraph_runtime_Tensor(py::module m) { py::class_<ngraph::runtime::Tensor, std::shared_ptr<ngraph::runtime::Tensor>> tensor(m, "Tensor"); tensor.doc() = "ngraph.impl.runtime.Tensor wraps ngraph::runtime::Tensor"; tensor.def("write", &write_); tensor.def("read", &read_); tensor.def_property_readonly("shape", &ngraph::runtime::Tensor::get_shape); tensor.def_property_readonly("element_count", &ngraph::runtime::Tensor::get_element_count); tensor.def_property_readonly("element_type", [](const ngraph::runtime::Tensor& self) { return self.get_element_type(); }); }