wehub-resource-sync
127 lines
3.9 KiB
Python
Executable File
127 lines
3.9 KiB
Python
Executable File
# Copyright (c) 2018 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 get_test_cover_info import (
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XPUOpTestWrapper,
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create_test_class,
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get_xpu_op_support_types,
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)
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from op_test_xpu import XPUOpTest
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import paddle
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paddle.enable_static()
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class XPUTestUnStackOp(XPUOpTestWrapper):
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def __init__(self):
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self.op_name = 'unstack'
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self.use_dynamic_create_class = False
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class TestUnStackOpBase(XPUOpTest):
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def initDefaultParameters(self):
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self.input_dim = (5, 6, 7)
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self.axis = 0
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self.dtype = 'float32'
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def initParameters(self):
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pass
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def get_y_names(self):
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y_names = []
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for i in range(self.input_dim[self.axis]):
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y_names.append(f'y{i}')
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return y_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 = 'unstack'
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self.python_api = paddle.unstack
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self.x = np.random.random(size=self.input_dim).astype(self.dtype)
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outs = np.split(self.x, self.input_dim[self.axis], self.axis)
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new_shape = list(self.input_dim)
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del new_shape[self.axis]
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y_names = self.get_y_names()
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tmp = []
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tmp_names = []
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for i in range(self.input_dim[self.axis]):
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tmp.append((y_names[i], np.reshape(outs[i], new_shape)))
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tmp_names.append(y_names[i])
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self.python_out_sig = tmp_names
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self.inputs = {'X': self.x}
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self.outputs = {'Y': tmp}
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self.attrs = {'axis': self.axis, 'num': self.input_dim[self.axis]}
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def test_check_output(self):
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if paddle.is_compiled_with_xpu():
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place = paddle.XPUPlace(0)
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self.check_output_with_place(place)
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def test_check_grad(self):
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self.check_grad_with_place(
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paddle.XPUPlace(0), self.get_y_names, 'Y'
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)
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class TestStackOp3(TestUnStackOpBase):
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def initParameters(self):
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self.axis = -1
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class TestStackOp4(TestUnStackOpBase):
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def initParameters(self):
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self.axis = -3
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class TestStackOp5(TestUnStackOpBase):
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def initParameters(self):
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self.axis = 1
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class TestStackOp6(TestUnStackOpBase):
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def initParameters(self):
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self.axis = 2
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class TestUnstackZeroInputOp(unittest.TestCase):
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def unstack_zero_input_static(self):
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paddle.enable_static()
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array = np.array([], dtype=np.float32)
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x = paddle.to_tensor(np.reshape(array, [0]), dtype='float32')
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paddle.unstack(x, axis=1)
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def unstack_zero_input_dynamic(self):
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array = np.array([], dtype=np.float32)
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x = paddle.to_tensor(np.reshape(array, [0]), dtype='float32')
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paddle.unstack(x, axis=1)
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def test_type_error(self):
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paddle.disable_static()
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self.assertRaises(ValueError, self.unstack_zero_input_dynamic)
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self.assertRaises(ValueError, self.unstack_zero_input_static)
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paddle.disable_static()
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support_types = get_xpu_op_support_types('unstack')
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for stype in support_types:
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create_test_class(globals(), XPUTestUnStackOp, stype)
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if __name__ == '__main__':
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unittest.main()
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