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- # Copyright 2020 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- """ test_int64_support """
- import numpy as np
- import mindspore.nn as nn
- from mindspore import context
- from mindspore.common.tensor import Tensor
- import mindspore as ms
-
-
- def test_parser_support_int64_normal_graph():
- """ test tensor index support int64 -index, graph mode"""
- class Net(nn.Cell):
- def __init__(self):
- super().__init__()
-
- def construct(self, inputs, tensor_in):
- result = inputs[tensor_in]
- return result
-
- context.set_context(mode=context.GRAPH_MODE)
- input_np_x = np.random.randn(2, 3, 4, 5).astype(np.float32)
- input_me_x = Tensor(input_np_x, ms.float32)
- input_np_y = np.random.randint(2, size=[1, 2]).astype(np.int64)
- tensor = Tensor(input_np_y, ms.int64)
- net = Net()
- net(input_me_x, tensor).asnumpy()
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