wehub-resource-sync
124 lines
3.3 KiB
Python
124 lines
3.3 KiB
Python
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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from op_test import OpTest, OpTestTool
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import paddle
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from paddle.base import core
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@OpTestTool.skip_if_not_cpu()
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class TestStack2DOneDNNOp(OpTest):
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def initDefaultParameters(self):
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self.num_inputs = 4
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self.input_dim = (2, 2)
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self.axis = 1
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self.dtype = np.float32
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def initParameters(self):
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pass
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def getInputNames(self):
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input_names = []
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for i in range(self.num_inputs):
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input_names.append(f'x{i}')
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return input_names
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def setUp(self):
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self.initDefaultParameters()
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self.initParameters()
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self.op_type = 'stack'
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self.op_inputs = []
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for i in range(self.num_inputs):
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self.op_inputs.append(
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np.random.random(size=self.input_dim).astype(np.float32)
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)
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input_list = []
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input_names = self.getInputNames()
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for i in range(self.num_inputs):
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input_list.append((input_names[i], self.op_inputs[i]))
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self.inputs = {'X': input_list}
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self.outputs = {'Y': np.stack(self.op_inputs, axis=self.axis)}
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self.attrs = {'axis': self.axis, 'use_onednn': True}
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def test_check_output(self):
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self.check_output_with_place(core.CPUPlace(), check_pir_onednn=True)
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# JUST FOR CI TO PASS, GRAD IS NOT IMPLEMENTED YET
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def test_check_grad(self):
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pass
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class TestStack1DOneDNNOp(TestStack2DOneDNNOp):
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def initParameters(self):
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self.input_dim = 100
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self.axis = 0
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class TestStack0DOneDNNOp(TestStack2DOneDNNOp):
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def initParameters(self):
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self.input_dim = ()
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self.axis = 0
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class TestStack1DAxis1OneDNNOp(TestStack2DOneDNNOp):
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def initParameters(self):
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self.input_dim = 100
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self.axis = 1
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class TestStack2DAxisLastOneDNNOp(TestStack2DOneDNNOp):
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def initParameters(self):
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self.input_dim = (13, 24)
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self.num_inputs = 5
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self.axis = -1
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class TestStack3DAxisNegativeOneDNNOp(TestStack2DOneDNNOp):
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def initParameters(self):
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self.input_dim = (10, 128, 128)
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self.axis = -2
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class TestStack3DOneDNNOp(TestStack2DOneDNNOp):
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def initParameters(self):
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self.input_dim = (10, 128, 128)
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self.num_inputs = 3
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self.axis = 1
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class TestStack4DOneDNNOp(TestStack2DOneDNNOp):
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def initParameters(self):
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self.input_dim = (2, 2, 2, 2)
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self.num_inputs = 3
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self.axis = 4
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class TestStack5DOneDNNOp(TestStack2DOneDNNOp):
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def initParameters(self):
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self.input_dim = (2, 3, 4, 5, 6)
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self.num_inputs = 6
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self.axis = 0
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if __name__ == "__main__":
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paddle.enable_static()
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unittest.main()
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