forked from mindspore-Ecosystem/mindspore
100 lines
3.1 KiB
Python
100 lines
3.1 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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"""
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test assign sub
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"""
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import mindspore as ms
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import mindspore.context as context
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import mindspore.nn as nn
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import mindspore.ops.operations as P
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from mindspore.common.initializer import initializer
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from mindspore.common.parameter import Parameter
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from mindspore.common.dtype import pytype_to_dtype
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from mindspore import Tensor
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import pytest
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import numpy as np
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class AssignW(nn.Cell):
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def __init__(self):
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super(AssignW, self).__init__()
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self.assign = P.Assign()
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def construct(self, x, w):
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self.assign(x, w)
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return x
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class AssignOp(nn.Cell):
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def __init__(self):
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super(AssignOp, self).__init__()
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self.b = Parameter(initializer('ones', [5]), name='b')
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def construct(self, w):
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self.b = w
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return w
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def test_assign_by_operator():
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context.set_context(mode=context.GRAPH_MODE)
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net = AssignOp()
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net.to_float(ms.float16)
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input_data = Tensor(np.ones([5]).astype(np.float32))
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net(input_data)
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class NetScatterNdUpdate(nn.Cell):
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def __init__(self):
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super(NetScatterNdUpdate, self).__init__()
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self.b = Parameter(initializer('ones', [5, 5]), name='b')
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self.scatter = P.ScatterNdUpdate()
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def construct(self, idx, x):
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return self.scatter(self.b, idx, x)
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def test_scatter_nd_update():
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context.set_context(mode=context.GRAPH_MODE)
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net = NetScatterNdUpdate()
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x = Tensor(np.ones([5]).astype(np.float16))
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idx = Tensor(np.ones([1]).astype(np.int32))
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net(idx, x)
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def test_signature_error_info():
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'''
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Feature: Do signature error info.
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Description: Do signature error info.
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Expectation: RuntimeError
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'''
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class NetScatterDiv(nn.Cell):
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def __init__(self):
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super(NetScatterDiv, self).__init__()
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self.b = Parameter(initializer(1, [5, 3], pytype_to_dtype(np.int8)), name='input')
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self.scatter = P.ScatterDiv(False)
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def construct(self, idx, x):
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return self.scatter(self.b, idx, x)
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net = NetScatterDiv()
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with pytest.raises(RuntimeError) as ex:
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net(Tensor(np.random.randint(1, size=(5, 8, 2)).astype(np.int32)),
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Tensor(np.random.randint(1, 256, size=(5, 8, 2, 3)).astype(np.float32)))
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assert "Data type conversion of \'Parameter\' is not supported, " \
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"the argument[x]'s data type of primitive[ScatterDiv] is int8, " \
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"which cannot be converted to data type float32 automatically." in str(ex.value)
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