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40 lines
1.5 KiB
40 lines
1.5 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_int64_support """
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import numpy as np
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import mindspore.nn as nn
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from mindspore import context
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from mindspore.common.tensor import Tensor
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import mindspore as ms
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def test_parser_support_int64_normal_graph():
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""" test tensor index support int64 -index, graph mode"""
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class Net(nn.Cell):
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def __init__(self):
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super().__init__()
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def construct(self, inputs, tensor_in):
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result = inputs[tensor_in]
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return result
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context.set_context(mode=context.GRAPH_MODE)
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input_np_x = np.random.randn(2, 3, 4, 5).astype(np.float32)
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input_me_x = Tensor(input_np_x, ms.float32)
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input_np_y = np.random.randint(2, size=[1, 2]).astype(np.int64)
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tensor = Tensor(input_np_y, ms.int64)
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net = Net()
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net(input_me_x, tensor).asnumpy()
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