[MLU]add mlu kernel for squeeze and squeeze2 (#43094)

Co-authored-by: Nliupeiyu <liupeiyu@cambricon.com>

paddle/fluid/operators/squeeze_op_mlu.cc

+/* 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. */
+
+#ifdef PADDLE_WITH_MLU
+#include <memory>
+#include <string>
+
+#include "paddle/fluid/operators/squeeze_op.h"
+#include "paddle/fluid/platform/device/mlu/device_context.h"
+
+namespace ops = paddle::operators;
+namespace plat = paddle::platform;
+
+REGISTER_OP_MLU_KERNEL(
+    squeeze, ops::SqueezeKernel<plat::MLUDeviceContext, float>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, double>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, plat::float16>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, bool>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, int>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, uint8_t>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, int8_t>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, int64_t>);
+
+REGISTER_OP_MLU_KERNEL(
+    squeeze_grad, ops::SqueezeGradKernel<plat::MLUDeviceContext, float>,
+    ops::SqueezeGradKernel<plat::MLUDeviceContext, double>,
+    ops::SqueezeGradKernel<plat::MLUDeviceContext, plat::float16>,
+    ops::SqueezeGradKernel<plat::MLUDeviceContext, bool>,
+    ops::SqueezeGradKernel<plat::MLUDeviceContext, int>,
+    ops::SqueezeGradKernel<plat::MLUDeviceContext, uint8_t>,
+    ops::SqueezeGradKernel<plat::MLUDeviceContext, int8_t>,
+    ops::SqueezeGradKernel<plat::MLUDeviceContext, int64_t>);
+
+REGISTER_OP_MLU_KERNEL(
+    squeeze2, ops::SqueezeKernel<plat::MLUDeviceContext, float>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, double>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, plat::float16>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, bool>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, int>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, uint8_t>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, int8_t>,
+    ops::SqueezeKernel<plat::MLUDeviceContext, int64_t>);
+
+REGISTER_OP_MLU_KERNEL(
+    squeeze2_grad, ops::Squeeze2GradKernel<plat::MLUDeviceContext, float>,
+    ops::Squeeze2GradKernel<plat::MLUDeviceContext, double>,
+    ops::Squeeze2GradKernel<plat::MLUDeviceContext, plat::float16>,
+    ops::Squeeze2GradKernel<plat::MLUDeviceContext, bool>,
+    ops::Squeeze2GradKernel<plat::MLUDeviceContext, int>,
+    ops::Squeeze2GradKernel<plat::MLUDeviceContext, uint8_t>,
+    ops::Squeeze2GradKernel<plat::MLUDeviceContext, int8_t>,
+    ops::Squeeze2GradKernel<plat::MLUDeviceContext, int64_t>);
+#endif

python/paddle/fluid/tests/unittests/mlu/test_squeeze2_op_mlu.py

+# 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.
+
+from __future__ import print_function
+import unittest
+import sys
+sys.path.append("..")
+import numpy as np
+import paddle
+from op_test import OpTest
+
+paddle.enable_static()
+
+
+# Correct: General.
+class TestSqueezeOp(OpTest):
+    def setUp(self):
+        self.init_test_case()
+        self.set_mlu()
+        self.op_type = "squeeze2"
+        self.inputs = {"X": np.random.random(self.ori_shape).astype("float32")}
+        self.init_attrs()
+        self.outputs = {
+            "Out": self.inputs["X"].reshape(self.new_shape),
+            "XShape": np.random.random(self.ori_shape).astype("float32")
+        }
+
+    def set_mlu(self):
+        self.__class__.use_mlu = True
+        self.place = paddle.device.MLUPlace(0)
+
+    def test_check_output(self):
+        self.check_output_with_place(self.place, no_check_set=['XShape'])
+
+    def test_check_grad(self):
+        self.check_grad_with_place(self.place, ['X'], 'Out')
+
+    def init_test_case(self):
+        self.ori_shape = (1, 3, 1, 40)
+        self.axes = (0, 2)
+        self.new_shape = (3, 40)
+
+    def init_attrs(self):
+        self.attrs = {"axes": self.axes}
+
+
+# Correct: There is mins axis.
+class TestSqueezeOp1(TestSqueezeOp):
+    def init_test_case(self):
+        self.ori_shape = (1, 20, 1, 5)
+        self.axes = (0, -2)
+        self.new_shape = (20, 5)
+
+
+# Correct: No axes input.
+class TestSqueezeOp2(TestSqueezeOp):
+    def init_test_case(self):
+        self.ori_shape = (1, 20, 1, 5)
+        self.axes = ()
+        self.new_shape = (20, 5)
+
+
+# Correct: Just part of axes be squeezed.
+class TestSqueezeOp3(TestSqueezeOp):
+    def init_test_case(self):
+        self.ori_shape = (6, 1, 5, 1, 4, 1)
+        self.axes = (1, -1)
+        self.new_shape = (6, 5, 1, 4)
+
+
+if __name__ == "__main__":
+    unittest.main()

python/paddle/fluid/tests/unittests/mlu/test_squeeze_op_mlu.py

+#   Copyright (c) 2019 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 unittest
+import sys
+sys.path.append("..")
+
+import numpy as np
+
+import paddle
+import paddle.fluid as fluid
+from paddle.fluid import compiler, Program, program_guard
+from op_test import OpTest, convert_float_to_uint16
+import paddle.fluid.core as core
+
+paddle.enable_static()
+
+
+# Correct: General.
+class TestSqueezeOp(OpTest):
+    def setUp(self):
+        self.op_type = "squeeze"
+        self.init_test_case()
+        self.set_mlu()
+        self.inputs = {"X": np.random.random(self.ori_shape).astype("float64")}
+        self.init_attrs()
+        self.outputs = {"Out": self.inputs["X"].reshape(self.new_shape), }
+
+    def set_mlu(self):
+        self.__class__.use_mlu = True
+        self.place = paddle.device.MLUPlace(0)
+
+    def test_check_output(self):
+        self.check_output_with_place(self.place)
+
+    def test_check_grad(self):
+        self.check_grad(["X"], "Out")
+
+    def init_test_case(self):
+        self.ori_shape = (1, 3, 1, 40)
+        self.axes = (0, 2)
+        self.new_shape = (3, 40)
+
+    def init_attrs(self):
+        self.attrs = {"axes": self.axes}
+
+
+class TestSqueezeBF16Op(OpTest):
+    def setUp(self):
+        self.op_type = "squeeze"
+        self.dtype = np.uint16
+        self.init_test_case()
+        x = np.random.random(self.ori_shape).astype("float32")
+        out = x.reshape(self.new_shape)
+        self.inputs = {"X": convert_float_to_uint16(x)}
+        self.init_attrs()
+        self.outputs = {"Out": convert_float_to_uint16(out)}
+
+    def test_check_output(self):
+        self.check_output()
+
+    def test_check_grad(self):
+        self.check_grad(["X"], "Out")
+
+    def init_test_case(self):
+        self.ori_shape = (1, 3, 1, 40)
+        self.axes = (0, 2)
+        self.new_shape = (3, 40)
+
+    def init_attrs(self):
+        self.attrs = {"axes": self.axes}
+
+
+# Correct: There is mins axis.
+class TestSqueezeOp1(TestSqueezeOp):
+    def init_test_case(self):
+        self.ori_shape = (1, 3, 1, 40)
+        self.axes = (0, -2)
+        self.new_shape = (3, 40)
+
+
+# Correct: No axes input.
+class TestSqueezeOp2(TestSqueezeOp):
+    def init_test_case(self):
+        self.ori_shape = (1, 20, 1, 5)
+        self.axes = ()
+        self.new_shape = (20, 5)
+
+
+# Correct: Just part of axes be squeezed. 
+class TestSqueezeOp3(TestSqueezeOp):
+    def init_test_case(self):
+        self.ori_shape = (6, 1, 5, 1, 4, 1)
+        self.axes = (1, -1)
+        self.new_shape = (6, 5, 1, 4)
+
+
+# Correct: The demension of axis is not of size 1 remains unchanged.
+class TestSqueezeOp4(TestSqueezeOp):
+    def init_test_case(self):
+        self.ori_shape = (6, 1, 5, 1, 4, 1)
+        self.axes = (1, 2)
+        self.new_shape = (6, 5, 1, 4, 1)
+
+
+if __name__ == "__main__":
+    unittest.main()