From 4d0ca02ba56760b456f3d4b42a538555b9b6c307 Mon Sep 17 00:00:00 2001 From: fwenguang <95677191+fwenguang@users.noreply.github.com> Date: Wed, 15 Jun 2022 19:22:00 +0800 Subject: [PATCH] [MLU] add size kernel for mlu (#43450) --- paddle/fluid/operators/size_op_mlu.cc | 43 +++++++ .../tests/unittests/mlu/test_size_op_mlu.py | 121 ++++++++++++++++++ 2 files changed, 164 insertions(+) create mode 100644 paddle/fluid/operators/size_op_mlu.cc create mode 100644 python/paddle/fluid/tests/unittests/mlu/test_size_op_mlu.py diff --git a/paddle/fluid/operators/size_op_mlu.cc b/paddle/fluid/operators/size_op_mlu.cc new file mode 100644 index 0000000000..dfc5495005 --- /dev/null +++ b/paddle/fluid/operators/size_op_mlu.cc @@ -0,0 +1,43 @@ +// Copyright (c) 2022 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 "paddle/fluid/framework/op_registry.h" +#include "paddle/fluid/operators/mlu/mlu_baseop.h" + +namespace paddle { +namespace operators { + +template +class SizeMLUKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& ctx) const override { + auto* x = ctx.Input("Input"); + auto* out = ctx.Output("Out"); + out->mutable_data(ctx.GetPlace()); + + int64_t size = x->numel(); + FillMLUTensorWithHostValue(ctx, size, out); + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; + +REGISTER_OP_MLU_KERNEL(size, ops::SizeMLUKernel, + ops::SizeMLUKernel, + ops::SizeMLUKernel, + ops::SizeMLUKernel, ops::SizeMLUKernel, + ops::SizeMLUKernel); diff --git a/python/paddle/fluid/tests/unittests/mlu/test_size_op_mlu.py b/python/paddle/fluid/tests/unittests/mlu/test_size_op_mlu.py new file mode 100644 index 0000000000..a56ca8fe5c --- /dev/null +++ b/python/paddle/fluid/tests/unittests/mlu/test_size_op_mlu.py @@ -0,0 +1,121 @@ +# Copyright (c) 2022 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. + +import unittest +import numpy as np +import paddle +import paddle.fluid as fluid +import sys + +sys.path.append('..') +from op_test import OpTest + +paddle.enable_static() + + +class TestSizeOp(OpTest): + + def setUp(self): + self.op_type = "size" + self.shape = [] + self.config() + input = np.zeros(self.shape, dtype='bool') + self.inputs = {'Input': input} + self.outputs = {'Out': np.array([np.size(input)], dtype='int64')} + + def config(self): + pass + + def test_check_output(self): + self.check_output_with_place(paddle.device.MLUPlace(0)) + + +class TestRank1Tensor(TestSizeOp): + + def config(self): + self.shape = [2] + + +class TestRank2Tensor(TestSizeOp): + + def config(self): + self.shape = [2, 3] + + +class TestRank3Tensor(TestSizeOp): + + def config(self): + self.shape = [2, 3, 100] + + +class TestLargeTensor(TestSizeOp): + + def config(self): + self.shape = [2**10] + + +class TestSizeAPI(unittest.TestCase): + + def test_size_static(self): + main_program = fluid.Program() + startup_program = fluid.Program() + with fluid.program_guard(main_program, startup_program): + shape1 = [2, 1, 4, 5] + shape2 = [1, 4, 5] + x_1 = paddle.fluid.data(shape=shape1, dtype='int32', name='x_1') + x_2 = paddle.fluid.data(shape=shape2, dtype='int32', name='x_2') + input_1 = np.random.random(shape1).astype("int32") + input_2 = np.random.random(shape2).astype("int32") + out_1 = paddle.fluid.layers.size(x_1) + out_2 = paddle.fluid.layers.size(x_2) + exe = paddle.static.Executor(place=paddle.MLUPlace(0)) + res_1, res_2 = exe.run(feed={ + "x_1": input_1, + "x_2": input_2, + }, + fetch_list=[out_1, out_2]) + assert (np.array_equal(res_1, + np.array([np.size(input_1) + ]).astype("int64"))) + assert (np.array_equal(res_2, + np.array([np.size(input_2) + ]).astype("int64"))) + + def test_size_imperative(self): + paddle.disable_static(paddle.MLUPlace(0)) + input_1 = np.random.random([2, 1, 4, 5]).astype("int32") + input_2 = np.random.random([1, 4, 5]).astype("int32") + x_1 = paddle.to_tensor(input_1) + x_2 = paddle.to_tensor(input_2) + out_1 = paddle.fluid.layers.size(x_1) + out_2 = paddle.fluid.layers.size(x_2) + assert (np.array_equal(out_1.numpy().item(0), np.size(input_1))) + assert (np.array_equal(out_2.numpy().item(0), np.size(input_2))) + paddle.enable_static() + + def test_error(self): + main_program = fluid.Program() + startup_program = fluid.Program() + with fluid.program_guard(main_program, startup_program): + + def test_x_type(): + shape = [1, 4, 5] + input_1 = np.random.random(shape).astype("int32") + out_1 = paddle.fluid.layers.size(input_1) + + self.assertRaises(TypeError, test_x_type) + + +if __name__ == '__main__': + unittest.main() -- GitLab