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65 lines
2.4 KiB
65 lines
2.4 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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/*!
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* \file ragged_array_ops.h
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* \brief
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*/
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#ifndef OPS_BUILT_IN_OP_PROTO_INC_RAGGED_ARRAY_OPS_H_
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#define OPS_BUILT_IN_OP_PROTO_INC_RAGGED_ARRAY_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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/**
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*@brief Gather ragged slices from `params` axis `0` according to `indices` . \n
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*@par Inputs:
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*@li params_nested_splits: The `nested_row_splits` tensors that define the row-partitioning for the
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*params` RaggedTensor input. It's a dynamic input.
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*@li params_dense_values: The `flat_values` for the `params` RaggedTensor. There was a terminology change
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*at the python level from dense_values to flat_values, so dense_values is the
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*deprecated name.
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*@li indices: Indices in the outermost dimension of `params` of the values that should be
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*gathered.
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*@li OUTPUT_RAGGED_RANK: The ragged rank of the output RaggedTensor. `output_nested_splits` will contain
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*this number of `row_splits` tensors. This value should equal
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*`indices.shape.ndims + params.ragged_rank - 1` . \n
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*@par Outputs:
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*y:A Returns The `nested_row_splits` tensors that define the row-partitioning for the
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*returned RaggedTensor.The `flat_values` for the returned RaggedTensor . \n
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*@par Third-party framework compatibility
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* Compatible with tensorflow RaggedGather operator.
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*/
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REG_OP(RaggedGather)
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.DYNAMIC_INPUT(params_nested_splits, TensorType({DT_INT32, DT_INT64}))
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.INPUT(params_dense_values, TensorType({DT_INT32, DT_INT64}))
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.INPUT(indices, TensorType({DT_INT32, DT_INT64}))
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.DYNAMIC_OUTPUT(output_nested_splits, TensorType({DT_INT32, DT_INT64}))
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.OUTPUT(output_dense_values, TensorType({DT_INT32, DT_INT64}))
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.REQUIRED_ATTR(Tsplits, Type)
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.ATTR(PARAMS_RAGGED_RANK, Int, 1)
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.ATTR(OUTPUT_RAGGED_RANK, Int, 0)
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.OP_END_FACTORY_REG(RaggedGather)
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} // namespace ge
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#endif // OPS_BUILT_IN_OP_PROTO_INC_RAGGED_ARRAY_OPS_H_
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