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# 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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"""Padding op"""
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from mindspore.ops.op_info_register import op_info_register, AiCPURegOp, DataType
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padding_op_info = AiCPURegOp("Padding") \
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.fusion_type("OPAQUE") \
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.input(0, "x", "required") \
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.output(0, "y", "required") \
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.attr("pad_dim_size", "int") \
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.dtype_format(DataType.I8_Default, DataType.I8_Default) \
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.dtype_format(DataType.I16_Default, DataType.I16_Default) \
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.dtype_format(DataType.I32_Default, DataType.I32_Default) \
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.dtype_format(DataType.I64_Default, DataType.I64_Default) \
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.dtype_format(DataType.U8_Default, DataType.U8_Default) \
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.dtype_format(DataType.U16_Default, DataType.U16_Default) \
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.dtype_format(DataType.U32_Default, DataType.U32_Default) \
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.dtype_format(DataType.U64_Default, DataType.U64_Default) \
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.dtype_format(DataType.F16_Default, DataType.F16_Default) \
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.dtype_format(DataType.F32_Default, DataType.F32_Default) \
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.dtype_format(DataType.F64_Default, DataType.F64_Default) \
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.dtype_format(DataType.BOOL_Default, DataType.BOOL_Default) \
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.get_op_info()
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@op_info_register(padding_op_info)
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def _padding_aicpu():
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"""Padding AiCPU register"""
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return
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# 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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import numpy as np
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import mindspore.context as context
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import mindspore.nn as nn
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import mindspore.common.dtype as mstype
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from mindspore import Tensor
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from mindspore.ops import operations as P
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context.set_context(mode=context.GRAPH_MODE,
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device_target="Ascend")
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class Net(nn.Cell):
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def __init__(self, pad_dim_size):
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super(Net, self).__init__()
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self.padding = P.Padding(pad_dim_size)
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def construct(self, x):
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return self.padding(x)
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def test_padding():
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x = Tensor(np.array([[8], [10]]), mstype.int32)
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padding = Net(4)
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out = padding(x)
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assert(out.asnumpy() == [[8, 0, 0, 0], [10, 0, 0, 0]]).all()
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