62 lines
1.9 KiB
C++
62 lines
1.9 KiB
C++
// Copyright 2019 Yan Yan
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <algorithm>
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#include <iostream>
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#include <pybind11/embed.h> // everything needed for embedding
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#include <pybind11/functional.h>
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#include <pybind11/numpy.h>
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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#include <tensorview/tensorview.h>
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namespace py = pybind11;
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template <typename T, typename TPyObject>
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std::vector<T> array2Vector(TPyObject arr){
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py::array arr_np = arr;
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size_t size = arr.attr("size").template cast<size_t>();
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py::array_t<T> arr_cc = arr_np;
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std::vector<T> data(arr_cc.data(), arr_cc.data() + size);
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return data;
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}
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template <typename T>
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std::vector<T> arrayT2Vector(py::array_t<T> arr)
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{
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std::vector<T> data(arr.data(), arr.data() + arr.size());
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return data;
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}
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template <typename T, typename TPyObject>
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tv::TensorView<T> array2TensorView(TPyObject arr){
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py::array arr_np = arr;
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py::array_t<T> arr_cc = arr_np;
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tv::Shape shape;
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for (int i = 0; i < arr_cc.ndim(); ++i){
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shape.push_back(arr_cc.shape(i));
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}
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return tv::TensorView<T>(arr_cc.mutable_data(), shape);
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}
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template <typename T>
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tv::TensorView<T> arrayT2TensorView(py::array_t<T> arr){
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tv::Shape shape;
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for (int i = 0; i < arr.ndim(); ++i){
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shape.push_back(arr.shape(i));
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}
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return tv::TensorView<T>(arr.mutable_data(), shape);
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}
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