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[NPU] Support npu kernel for op elementwise_floordiv (#31822)
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52 changes: 52 additions & 0 deletions
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paddle/fluid/operators/elementwise/elementwise_floordiv_op_npu.cc
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| /* 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. */ | ||
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| #include <memory> | ||
| #include <string> | ||
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| #include "paddle/fluid/operators/elementwise/elementwise_div_op.h" | ||
| #include "paddle/fluid/operators/npu_op_runner.h" | ||
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| namespace paddle { | ||
| namespace operators { | ||
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| using Tensor = framework::Tensor; | ||
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| template <typename T> | ||
| class ElementwiseFloorDivNPUKernel : public framework::OpKernel<T> { | ||
| public: | ||
| void Compute(const framework::ExecutionContext& ctx) const override { | ||
| auto* x = ctx.Input<Tensor>("X"); | ||
| auto* y = ctx.Input<Tensor>("Y"); | ||
| auto* out = ctx.Output<Tensor>("Out"); | ||
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| out->mutable_data<T>(ctx.GetPlace()); | ||
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| auto stream = | ||
| ctx.template device_context<paddle::platform::NPUDeviceContext>() | ||
| .stream(); | ||
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| auto runner = NpuOpRunner("FloorDiv", {*x, *y}, {*out}, {}); | ||
| runner.Run(stream); | ||
| } | ||
| }; | ||
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| } // namespace operators | ||
| } // namespace paddle | ||
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| namespace ops = paddle::operators; | ||
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| REGISTER_OP_NPU_KERNEL(elementwise_floordiv, | ||
| ops::ElementwiseFloorDivNPUKernel<int>, | ||
| ops::ElementwiseFloorDivNPUKernel<int64_t>); |
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python/paddle/fluid/tests/unittests/npu/test_elementwise_floordiv_op_npu.py
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| # 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. | ||
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| from __future__ import print_function | ||
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| import numpy as np | ||
| import unittest | ||
| import sys | ||
| sys.path.append("..") | ||
| from op_test import OpTest | ||
| import paddle | ||
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| paddle.enable_static() | ||
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| @unittest.skipIf(not paddle.is_compiled_with_npu(), | ||
| "core is not compiled with NPU") | ||
| class TestElementwiseFloorDiv(OpTest): | ||
| def setUp(self): | ||
| self.op_type = "elementwise_floordiv" | ||
| self.set_npu() | ||
| self.init_dtype() | ||
| self.init_input_output() | ||
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| self.inputs = { | ||
| 'X': OpTest.np_dtype_to_fluid_dtype(self.x), | ||
| 'Y': OpTest.np_dtype_to_fluid_dtype(self.y) | ||
| } | ||
| self.attrs = {} | ||
| self.outputs = {'Out': self.out} | ||
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| def set_npu(self): | ||
| self.__class__.use_npu = True | ||
| self.place = paddle.NPUPlace(0) | ||
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| def init_input_output(self): | ||
| self.x = np.random.uniform(1, 1000, [10, 10]).astype(self.dtype) | ||
| self.y = np.random.uniform(1, 1000, [10, 10]).astype(self.dtype) | ||
| self.out = np.floor_divide(self.x, self.y) | ||
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| def init_dtype(self): | ||
| self.dtype = "int64" | ||
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| def test_check_output(self): | ||
| self.check_output_with_place(self.place, check_dygraph=False) | ||
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| @unittest.skipIf(not paddle.is_compiled_with_npu(), | ||
| "core is not compiled with NPU") | ||
| class TestElementwiseFloorDiv2(TestElementwiseFloorDiv): | ||
| def init_dtype(self): | ||
| self.dtype = "int32" | ||
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| if __name__ == '__main__': | ||
| unittest.main() |
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🕵️ CI failures summary
🔍PR: #31822 Commit ID: 149f76e contains failed CI.