@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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TypeScript
/**
* @license
* Copyright 2022 Google LLC. All Rights Reserved.
* 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.
* =============================================================================
*/
/// <amd-module name="@tensorflow/tfjs-core/dist/ops/ragged_gather" />
import { Tensor } from '../tensor';
import { TensorLike } from '../types';
/**
* Gather ragged slices from params axis 0 according to indices.
*
* @param paramsNestedSplits: A list of at least 1 Tensor with type 'int32' The
* nestedRowSplits tensors that define the row-partitioning for the params
* RaggedTensor input.
* @param paramsDenseValues: A Tensor. The flatValues for the params
* RaggedTensor.
* @param indices: A Tensor. Must be one of type: int32. Indices in the
* outermost dimension of params of the values that should be gathered.
* @param outputRaggedRank: An int that is >= 0. The ragged rank of the output
* RaggedTensor. outputNestedSplits will contain this number of rowSplits
* tensors. This value should equal indices.shape.ndims + params.raggedRank
* - 1.
* @return A map with the following properties:
* - outputNestedSplits: A list of outputRaggedRank Tensor objects with the
* same type as paramsNestedSplits.
* - outputDenseValues: A Tensor. Has the same type as paramsDenseValues.
* @doc {heading: 'Operations', subheading: 'Ragged'}
*/
interface RaggedGatherMap {
outputNestedSplits: Tensor[];
outputDenseValues: Tensor;
}
declare function raggedGather_(paramsNestedSplits: Tensor[], paramsDenseValues: Tensor | TensorLike, indices: Tensor | TensorLike, outputRaggedRank: number): RaggedGatherMap;
export declare const raggedGather: typeof raggedGather_;
export {};