/** * Copyright (c) 2016-present, Facebook, Inc. * * 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. */ // Note(jiayq): the import_array function is done inside // caffe2_python.cc. Read // http://docs.scipy.org/doc/numpy-1.10.1/reference/c-api.array.html#miscellaneous // for more details. #define NO_IMPORT_ARRAY #include "caffe2/python/pybind_state.h" #include #include #include "caffe2/core/tensor_int8.h" namespace caffe2 { namespace python { class Int8TensorFetcher : public BlobFetcherBase { public: pybind11::object Fetch(const Blob& blob) override { const caffe2::int8::Int8TensorCPU& src = blob.template Get(); const int numpy_type = CaffeToNumpyType(src.t.meta()); CAFFE_ENFORCE(numpy_type != -1, "Int8Tensor contains unknown type data"); std::vector npy_dims; for (const auto dim : src.t.dims()) { npy_dims.push_back(dim); } auto data_array = pybind11::reinterpret_steal( PyArray_SimpleNew(src.t.dims().size(), npy_dims.data(), numpy_type)); void* ptr = static_cast( PyArray_DATA(reinterpret_cast(data_array.ptr()))); CPUContext context; context.CopyBytesSameDevice(src.t.nbytes(), src.t.raw_data(), ptr); context.FinishDeviceComputation(); auto result = pybind11::cast( pybind11::make_tuple(data_array, src.scale, src.zero_point)); return result; } }; REGISTER_BLOB_FETCHER( (TypeMeta::Id()), caffe2::python::Int8TensorFetcher); } // namespace python } // namespace caffe2