| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2021 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | import { ENGINE } from '../engine';
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| 18 | import { BroadcastArgs } from '../kernel_names';
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| 19 | import { convertToTensor } from '../tensor_util_env';
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| 20 | import { op } from './operation';
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| 21 | /**
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| 22 | * Return the shape of s0 op s1 with broadcast.
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| 23 | *
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| 24 | * compute r0, the broadcasted shape as a tensor.
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| 25 | * s0, s1 and r0 are all integer vectors.
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| 26 | *
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| 27 | * This function returns the shape of the result of an operation between
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| 28 | * two tensors of size s0 and s1 performed with broadcast.
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| 29 | *
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| 30 | * @param s0 A tensor representing a shape
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| 31 | * @param s1 A tensor representing a shape
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| 32 | *
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| 33 | * @doc {heading: 'Tensors', subheading: 'Transformations'}
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| 34 | */
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| 35 | function broadcastArgs_(s0, s1) {
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| 36 | const shape1Input = convertToTensor(s0, 's0', 'broadcastArgs', 'int32');
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| 37 | const shape2Input = convertToTensor(s1, 's1', 'broadcastArgs', 'int32');
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| 38 | if (shape1Input.rank !== 1) {
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| 39 | throw new Error('broadcastArgs(): first input must be a vector (rank=1). ' +
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| 40 | `Has rank ${shape1Input.rank}`);
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| 41 | }
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| 42 | if (shape2Input.rank !== 1) {
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| 43 | throw new Error('broadcastArgs(): second input must be a vector (rank=1). ' +
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| 44 | `Has rank ${shape2Input.rank}`);
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| 45 | }
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| 46 | const inputs = { s0: shape1Input, s1: shape2Input };
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| 47 | return ENGINE.runKernel(BroadcastArgs, inputs);
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| 48 | }
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| 49 | export const broadcastArgs = op({ broadcastArgs_ });
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