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45 lines
1.3 KiB
45 lines
1.3 KiB
5 years ago
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/**
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* Copyright 2019-2020 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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#ifndef GE_OP_LOGGING_OPS_H
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#define GE_OP_LOGGING_OPS_H
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#include "graph/operator.h"
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#include "graph/operator_reg.h"
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namespace ge {
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REG_OP(Timestamp)
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.OUTPUT(y, TensorType({DT_DOUBLE}))
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.OP_END_FACTORY_REG(Timestamp)
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REG_OP(Assert)
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.INPUT(input_condition, TensorType{DT_BOOL})
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.DYNAMIC_INPUT(input_data, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8,
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DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_UINT32,
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DT_UINT64, DT_BOOL, DT_DOUBLE, DT_STRING}))
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.ATTR(summarize, Int, 3)
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.OP_END_FACTORY_REG(Assert)
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REG_OP(PrintV2)
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.INPUT(x, TensorType({DT_STRING}))
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.ATTR(output_stream, String, "stderr")
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.OP_END_FACTORY_REG(PrintV2)
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} // namespace ge
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#endif // GE_OP_LOGGING_OPS_H
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