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116 lines
4.1 KiB
116 lines
4.1 KiB
/**
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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_MATH_OPS_H_
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#define GE_OP_MATH_OPS_H_
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#include "graph/operator_reg.h"
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#include "graph/operator.h"
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namespace ge {
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REG_OP(Igamma)
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.INPUT(a, TensorType({DT_FLOAT, DT_DOUBLE}))
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.INPUT(x, TensorType({DT_FLOAT, DT_DOUBLE}))
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.OUTPUT(z, TensorType({DT_FLOAT, DT_DOUBLE}))
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.OP_END_FACTORY_REG(Igamma)
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REG_OP(Igammac)
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.INPUT(a, TensorType({DT_FLOAT, DT_DOUBLE}))
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.INPUT(x, TensorType({DT_FLOAT, DT_DOUBLE}))
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.OUTPUT(z, TensorType({DT_FLOAT, DT_DOUBLE}))
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.OP_END_FACTORY_REG(Igammac)
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REG_OP(CompareAndBitpack)
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.INPUT(x, TensorType({ DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_INT8, \
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DT_INT16, DT_INT32, DT_INT64, DT_BOOL }))
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.INPUT(threshold, TensorType({ DT_FLOAT, DT_FLOAT16, DT_DOUBLE, \
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DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_BOOL }))
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.OUTPUT(y, TensorType(DT_UINT8))
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.OP_END_FACTORY_REG(CompareAndBitpack)
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REG_OP(Bincount)
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.INPUT(array, TensorType(DT_INT32))
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.INPUT(size, TensorType(DT_INT32))
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.INPUT(weights, TensorType({ DT_FLOAT, DT_INT32, DT_INT64, DT_DOUBLE }))
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.OUTPUT(bins, TensorType({ DT_FLOAT, DT_INT32, DT_INT64, DT_DOUBLE }))
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.OP_END_FACTORY_REG(Bincount)
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REG_OP(Betainc)
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.INPUT(a, TensorType({DT_DOUBLE, DT_FLOAT}))
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.INPUT(b, TensorType({DT_DOUBLE, DT_FLOAT}))
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.INPUT(x, TensorType({DT_DOUBLE, DT_FLOAT}))
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.OUTPUT(z, TensorType({DT_DOUBLE, DT_FLOAT}))
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.OP_END_FACTORY_REG(Betainc)
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REG_OP(Zeta)
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.INPUT(x, TensorType({DT_DOUBLE, DT_FLOAT}))
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.INPUT(q, TensorType({DT_DOUBLE, DT_FLOAT}))
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.OUTPUT(z, TensorType({DT_DOUBLE, DT_FLOAT}))
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.OP_END_FACTORY_REG(Zeta)
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REG_OP(Bucketize)
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.INPUT(x, TensorType({DT_INT32, DT_INT64, DT_DOUBLE, DT_FLOAT}))
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.OUTPUT(y, TensorType({DT_INT32}))
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.REQUIRED_ATTR(boundaries, ListFloat)
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.OP_END_FACTORY_REG(Bucketize)
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REG_OP(SparseSegmentSum)
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.INPUT(x, TensorType({DT_INT8, DT_UINT8, DT_INT16, DT_UINT16,
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DT_INT32, DT_INT64, DT_DOUBLE, DT_FLOAT, DT_FLOAT16}))
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.INPUT(indices, TensorType({DT_INT32}))
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.INPUT(segment_ids, TensorType({DT_INT32}))
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.OUTPUT(y, TensorType({DT_INT8, DT_UINT8, DT_INT16, DT_UINT16,
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DT_INT32, DT_INT64, DT_DOUBLE, DT_FLOAT, DT_FLOAT16}))
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.OP_END_FACTORY_REG(SparseSegmentSum)
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REG_OP(SparseSegmentMean)
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.INPUT(x, TensorType({DT_FLOAT, DT_DOUBLE}))
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.INPUT(indices, TensorType({DT_INT32}))
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.INPUT(segment_ids, TensorType({DT_INT32}))
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.OUTPUT(y, TensorType({DT_FLOAT, DT_DOUBLE}))
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.OP_END_FACTORY_REG(SparseSegmentMean)
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REG_OP(SparseSegmentMeanGrad)
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.INPUT(x, TensorType({DT_FLOAT, DT_DOUBLE}))
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.INPUT(indices, TensorType({DT_INT32}))
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.INPUT(segment_ids, TensorType({DT_INT32}))
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.INPUT(output_dim0, TensorType({DT_INT32}))
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.OUTPUT(y, TensorType({DT_FLOAT, DT_DOUBLE}))
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.OP_END_FACTORY_REG(SparseSegmentMeanGrad)
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REG_OP(IgammaGradA)
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.INPUT(a, TensorType({DT_FLOAT, DT_DOUBLE}))
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.INPUT(x, TensorType({DT_FLOAT, DT_DOUBLE}))
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.OUTPUT(z, TensorType({DT_FLOAT, DT_DOUBLE}))
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.OP_END_FACTORY_REG(IgammaGradA)
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REG_OP(InitData)
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.ATTR(channel_name, String, "")
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.OP_END_FACTORY_REG(InitData)
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REG_OP(GetNext)
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.DYNAMIC_OUTPUT(y, TensorType({DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_UINT32, DT_UINT64,
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DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_BOOL}))
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.ATTR(output_types, ListInt, {})
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.ATTR(output_shapes, ListListInt, {})
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.ATTR(output_num, Int, 1)
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.ATTR(channel_name, String, "")
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.OP_END_FACTORY_REG(GetNext)
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} // namespace ge
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#endif // GE_OP_MATH_OPS_H_
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