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71 lines
1.6 KiB
71 lines
1.6 KiB
# 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_partial """
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import mindspore.ops.composite as C
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import mindspore.ops.functional as F
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from mindspore import context
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from mindspore.common.api import ms_function
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def setup_module(module):
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context.set_context(mode=context.PYNATIVE_MODE)
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def myadd(x, y):
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return x + y
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def partial_simple_add(x):
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return F.partial(myadd, x)
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@ms_function
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def full_simple_add(x, y):
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p = partial_simple_add(x)
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return p(y)
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def test_full_simple_add():
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print(full_simple_add(2, 5))
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# partial with multitype
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MULTI_ADD = C.MultitypeFuncGraph('add')
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@MULTI_ADD.register("Int64", "Int64")
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def add_int(x, y):
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return F.scalar_add(x, y)
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@MULTI_ADD.register("Float32", "Float32")
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def add_float(x, y):
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return F.scalar_add(x, y)
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def partial_multi_add(x):
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return F.partial(MULTI_ADD, x)
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@ms_function
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def full_multi_add(x, y, m, n):
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p = partial_multi_add(x)(y)
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q = partial_multi_add(m)(n)
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return p, q
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def test_full_multi_add():
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print(full_multi_add(1, 2, 1.0, 2.0))
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