From b3c88e961c0fcf5fea9a7d7fbda8d1d4f5007ee8 Mon Sep 17 00:00:00 2001 From: zhang wenhui Date: Thu, 4 Mar 2021 15:16:40 +0800 Subject: [PATCH] [NPU] Support npu kernel for shape op (#31427) * add shape npu * fix * fix --- paddle/fluid/operators/shape_op_npu.cc | 61 +++++++++++++++++++ .../tests/unittests/npu/test_shape_op_npu.py | 57 +++++++++++++++++ 2 files changed, 118 insertions(+) create mode 100644 paddle/fluid/operators/shape_op_npu.cc create mode 100644 python/paddle/fluid/tests/unittests/npu/test_shape_op_npu.py diff --git a/paddle/fluid/operators/shape_op_npu.cc b/paddle/fluid/operators/shape_op_npu.cc new file mode 100644 index 0000000000..fa6cecf818 --- /dev/null +++ b/paddle/fluid/operators/shape_op_npu.cc @@ -0,0 +1,61 @@ +/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. + +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 +#include + +#include "paddle/fluid/operators/npu_op_runner.h" +#include "paddle/fluid/operators/shape_op.h" + +namespace paddle { +namespace operators { + +using Tensor = framework::Tensor; +using SelectedRows = framework::SelectedRows; + +template +class ShapeNPUKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& ctx) const override { + auto* in_var = ctx.InputVar("Input"); + framework::DDim in_dims; + if (in_var->IsType()) { + in_dims = in_var->Get().value().dims(); + } else { + in_dims = in_var->Get().dims(); + } + auto* out_t = ctx.Output("Out"); + out_t->Resize({in_dims.size()}); + // to do: cpuplace? + auto out_data = out_t->mutable_data(platform::CPUPlace()); + for (int i = 0; i < in_dims.size(); ++i) { + out_data[i] = in_dims[i]; + } + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; + +REGISTER_OP_NPU_KERNEL( + shape, ops::ShapeNPUKernel, + ops::ShapeNPUKernel, + ops::ShapeNPUKernel, + ops::ShapeNPUKernel, + ops::ShapeNPUKernel, + ops::ShapeNPUKernel, + ops::ShapeNPUKernel); +#endif diff --git a/python/paddle/fluid/tests/unittests/npu/test_shape_op_npu.py b/python/paddle/fluid/tests/unittests/npu/test_shape_op_npu.py new file mode 100644 index 0000000000..7b9a74b2be --- /dev/null +++ b/python/paddle/fluid/tests/unittests/npu/test_shape_op_npu.py @@ -0,0 +1,57 @@ +# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. +# +# 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. + +from __future__ import print_function + +import numpy as np +import unittest +import sys +sys.path.append("..") +from op_test import OpTest +import paddle +import paddle.fluid as fluid + +paddle.enable_static() +SEED = 2021 + + +@unittest.skipIf(not paddle.is_compiled_with_npu(), + "core is not compiled with NPU") +class TestShape(OpTest): + def setUp(self): + self.set_npu() + self.op_type = "shape" + self.place = paddle.NPUPlace(0) + + self.init_dtype() + np.random.seed(SEED) + x = np.random.uniform(1, 2, [5, 10]).astype(self.dtype) + out = np.array([5, 10]) + + self.inputs = {'Input': OpTest.np_dtype_to_fluid_dtype(x)} + self.attrs = {} + self.outputs = {'Out': out} + + def set_npu(self): + self.__class__.use_npu = True + + def init_dtype(self): + self.dtype = np.float32 + + def test_check_output(self): + self.check_output_with_place(self.place, check_dygraph=False) + + +if __name__ == '__main__': + unittest.main() -- GitLab