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https://github.com/zebrajr/pytorch.git
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a9b0a921d5
Summary: As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH` All changes but the ones to `.clang-tidy` are generated using following script: ``` for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`; do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008 Reviewed By: driazati, r-barnes Differential Revision: D29838584 Pulled By: malfet fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
67 lines
2.2 KiB
C++
67 lines
2.2 KiB
C++
/**
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* Copyright (c) 2016-present, Facebook, Inc.
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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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*/
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// Note(jiayq): the import_array function is done inside
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// caffe2_python.cc. Read
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// http://docs.scipy.org/doc/numpy-1.10.1/reference/c-api.array.html#miscellaneous
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// for more details.
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#define NO_IMPORT_ARRAY
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#include "caffe2/python/pybind_state.h"
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#include <pybind11/pybind11.h>
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#include <pybind11/stl.h>
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#include "caffe2/core/tensor_int8.h"
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namespace caffe2 {
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namespace python {
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class Int8TensorFetcher : public BlobFetcherBase {
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public:
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pybind11::object Fetch(const Blob& blob) override {
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#ifdef USE_NUMPY
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const caffe2::int8::Int8TensorCPU& src =
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blob.template Get<caffe2::int8::Int8TensorCPU>();
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const int numpy_type = CaffeToNumpyType(src.t.dtype());
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CAFFE_ENFORCE(numpy_type != -1, "Int8Tensor contains unknown type data");
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std::vector<npy_intp> npy_dims;
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for (const auto dim : src.t.sizes()) {
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npy_dims.push_back(dim);
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}
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auto data_array = pybind11::reinterpret_steal<pybind11::object>(
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PyArray_SimpleNew(src.t.sizes().size(), npy_dims.data(), numpy_type));
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void* ptr = static_cast<void*>(
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PyArray_DATA(reinterpret_cast<PyArrayObject*>(data_array.ptr())));
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CPUContext context;
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context.CopyBytesSameDevice(src.t.nbytes(), src.t.raw_data(), ptr);
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context.FinishDeviceComputation();
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auto result = pybind11::cast<pybind11::object>(
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pybind11::make_tuple(data_array, src.scale, src.zero_point));
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return result;
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#else
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CAFFE_THROW("Caffe2 was compiled without NumPy support.");
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#endif // USE_NUMPY
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}
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};
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REGISTER_BLOB_FETCHER(
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(TypeMeta::Id<caffe2::int8::Int8TensorCPU>()),
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caffe2::python::Int8TensorFetcher);
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} // namespace python
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} // namespace caffe2
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