未验证 提交 aaaa9965 编写于 作者: A Aganlengzi 提交者: GitHub

NPU add fill_zeros_like kernel (#35246)

上级 531a8909
/* 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 "paddle/fluid/operators/fill_zeros_like_op.h"
#include "paddle/fluid/operators/npu_op_runner.h"
namespace paddle {
namespace operators {
template <typename DeviceContext, typename T>
class FillZerosLikeNPUKernel : public framework::OpKernel<T> {
public:
void Compute(const framework::ExecutionContext& context) const override {
auto* x = context.Input<framework::Tensor>("X");
auto* out = context.Output<framework::Tensor>("Out");
out->mutable_data<T>(context.GetPlace());
auto stream =
context.template device_context<paddle::platform::NPUDeviceContext>()
.stream();
const auto& runner = NpuOpRunner("ZerosLike", {*x}, {*out});
runner.Run(stream);
}
};
} // namespace operators
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OP_NPU_KERNEL(
fill_zeros_like,
ops::FillZerosLikeNPUKernel<paddle::platform::NPUDeviceContext, int>,
ops::FillZerosLikeNPUKernel<paddle::platform::NPUDeviceContext, int64_t>,
ops::FillZerosLikeNPUKernel<paddle::platform::NPUDeviceContext,
paddle::platform::float16>,
ops::FillZerosLikeNPUKernel<paddle::platform::NPUDeviceContext, float>,
ops::FillZerosLikeNPUKernel<paddle::platform::NPUDeviceContext, double>,
ops::FillZerosLikeNPUKernel<paddle::platform::NPUDeviceContext, bool>);
# 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
paddle.enable_static()
class TestFillZerosLikeOp(OpTest):
def setUp(self):
self.set_npu()
self.place = paddle.NPUPlace(0)
self.op_type = "fill_zeros_like"
self.init_dtype()
self.inputs = {'X': np.random.random((219, 232)).astype(self.dtype)}
self.outputs = {'Out': np.zeros_like(self.inputs["X"])}
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)
class TestFillZerosLikeOpBool(TestFillZerosLikeOp):
def init_dtype(self):
self.dtype = np.bool
class TestFillZerosLikeOpFp16(TestFillZerosLikeOp):
def init_dtype(self):
self.dtype = np.float16
class TestFillZerosLikeOpFp64(TestFillZerosLikeOp):
def init_dtype(self):
self.dtype = np.float64
class TestFillZerosLikeOpInt32(TestFillZerosLikeOp):
def init_dtype(self):
self.dtype = np.int32
class TestFillZerosLikeOpInt64(TestFillZerosLikeOp):
def init_dtype(self):
self.dtype = np.int64
if __name__ == '__main__':
unittest.main()
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