From aaaa9965ba1fb224674023a0af2afd01288b1f23 Mon Sep 17 00:00:00 2001
From: Aganlengzi <aganlengzi@gmail.com>
Date: Tue, 31 Aug 2021 10:35:15 +0800
Subject: [PATCH] NPU add fill_zeros_like kernel (#35246)

---
 .../fluid/operators/fill_zeros_like_op_npu.cc | 50 +++++++++++++
 .../npu/test_fill_zeros_like_op_npu.py        | 72 +++++++++++++++++++
 2 files changed, 122 insertions(+)
 create mode 100644 paddle/fluid/operators/fill_zeros_like_op_npu.cc
 create mode 100644 python/paddle/fluid/tests/unittests/npu/test_fill_zeros_like_op_npu.py

diff --git a/paddle/fluid/operators/fill_zeros_like_op_npu.cc b/paddle/fluid/operators/fill_zeros_like_op_npu.cc
new file mode 100644
index 0000000000..6a0da7e47c
--- /dev/null
+++ b/paddle/fluid/operators/fill_zeros_like_op_npu.cc
@@ -0,0 +1,50 @@
+/* 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>);
diff --git a/python/paddle/fluid/tests/unittests/npu/test_fill_zeros_like_op_npu.py b/python/paddle/fluid/tests/unittests/npu/test_fill_zeros_like_op_npu.py
new file mode 100644
index 0000000000..e00aa6971e
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/npu/test_fill_zeros_like_op_npu.py
@@ -0,0 +1,72 @@
+#  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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