forked from mindspore-Ecosystem/mindspore
146 lines
5.1 KiB
Python
146 lines
5.1 KiB
Python
# Copyright 2020 Huawei Technologies Co., Ltd
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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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# ============================================================================
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""" test_tuple_slice """
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import numpy as np
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import mindspore.ops.operations as P
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from mindspore import Tensor
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from mindspore.nn import Cell
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from ....mindspore_test_framework.mindspore_test import mindspore_test
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from ....mindspore_test_framework.pipeline.forward.compile_forward \
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import pipeline_for_compile_forward_ge_graph_for_case_by_case_config
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from ....mindspore_test_framework.pipeline.forward.verify_exception \
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import pipeline_for_verify_exception_for_case_by_case_config
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class NetWork_1(Cell):
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""" NetWork_1 definition """
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def __init__(self):
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super(NetWork_1, self).__init__()
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self.addN = P.AddN()
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def construct(self, tensor_tuple):
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tensor_tuple_slice0 = tensor_tuple[:]
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tensor_tuple_slice1 = tensor_tuple[:3]
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tensor_tuple_slice2 = tensor_tuple[1:]
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tensor_tuple_slice3 = tensor_tuple[2:5:1]
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sum0 = self.addN(tensor_tuple_slice0)
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sum1 = self.addN(tensor_tuple_slice1)
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sum2 = self.addN(tensor_tuple_slice2)
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sum3 = self.addN(tensor_tuple_slice3)
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ret = sum0 + sum1 + sum2 + sum3
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return ret
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class NetWork_2(Cell):
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""" NetWork_2 definition """
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def __init__(self):
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super(NetWork_2, self).__init__()
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self.addN = P.AddN()
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def construct(self, tensor_tuple):
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tensor_tuple_slice0 = tensor_tuple[::-1]
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tensor_tuple_slice1 = tensor_tuple[-1::-1]
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tensor_tuple_slice2 = tensor_tuple[:-4:-1]
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tensor_tuple_slice3 = tensor_tuple[-6:3]
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tensor_tuple_slice4 = tensor_tuple[-1:-6:-2]
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sum0 = self.addN(tensor_tuple_slice0)
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sum1 = self.addN(tensor_tuple_slice1)
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sum2 = self.addN(tensor_tuple_slice2)
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sum3 = self.addN(tensor_tuple_slice3)
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sum4 = self.addN(tensor_tuple_slice4)
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ret = sum0 + sum1 + sum2 + sum3 + sum4
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return ret
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class NetWork_3(Cell):
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""" NetWork_3 definition """
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def __init__(self):
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super(NetWork_3, self).__init__()
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self.addN = P.AddN()
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def construct(self, tensor_tuple, start, stop, step=1):
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tensor_tuple_slice0 = tensor_tuple[start:stop:step]
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res = self.addN(tensor_tuple_slice0)
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return res
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class NetWorkOutOfBounds(Cell):
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""" NetWork_3 definition """
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def __init__(self):
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super(NetWorkOutOfBounds, self).__init__()
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self.addN = P.AddN()
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def construct(self, tensor_tuple):
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return tensor_tuple[100]
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test_cases = [
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('SlicePositive', {
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'block': NetWork_1(),
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'desc_inputs': [(Tensor(np.ones([2, 3, 4], np.int32)),
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Tensor(np.zeros([2, 3, 4], np.int32)),
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Tensor(np.ones([2, 3, 4], np.int32)),
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Tensor(np.ones([2, 3, 4], np.int32)),
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Tensor(np.zeros([2, 3, 4], np.int32)),
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Tensor(np.ones([2, 3, 4], np.int32)))],
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}),
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('SliceNegative', {
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'block': NetWork_2(),
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'desc_inputs': [(Tensor(np.ones([2, 3, 4], np.int32)),
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Tensor(np.zeros([2, 3, 4], np.int32)),
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Tensor(np.ones([2, 3, 4], np.int32)),
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Tensor(np.ones([2, 3, 4], np.int32)),
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Tensor(np.zeros([2, 3, 4], np.int32)),
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Tensor(np.ones([2, 3, 4], np.int32)))],
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}),
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]
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test_cases_for_verify_exception = [
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('SliceStartCross', {
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'block': (NetWork_3(), {'exception': TypeError}),
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'desc_inputs': [Tensor(np.ones([2, 3, 4], np.int32)),
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Tensor(np.zeros([2, 3, 4], np.int32)),
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Tensor(np.ones([2, 3, 4], np.int32))],
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}),
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('SliceStepZero', {
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'block': (NetWork_3(), {'exception': TypeError}),
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'desc_inputs': [Tensor(np.ones([2, 3, 4], np.int32)),
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Tensor(np.zeros([2, 3, 4], np.int32)),
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Tensor(np.ones([2, 3, 4], np.int32))],
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}),
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('SliceOutOfBounds', {
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'block': (NetWorkOutOfBounds(), {'exception': IndexError}),
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'desc_inputs': [(Tensor(np.ones([2, 3, 4], np.int32)),
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Tensor(np.zeros([2, 3, 4], np.int32)),
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Tensor(np.ones([2, 3, 4], np.int32)))],
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}),
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]
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@mindspore_test(pipeline_for_compile_forward_ge_graph_for_case_by_case_config)
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def test_compile():
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return test_cases
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@mindspore_test(pipeline_for_verify_exception_for_case_by_case_config)
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def test_check_exception():
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return test_cases_for_verify_exception
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