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1"use strict";
2/**
3 * @license
4 * Copyright 2020 Google LLC. All Rights Reserved.
5 * Licensed under the Apache License, Version 2.0 (the "License");
6 * you may not use this file except in compliance with the License.
7 * You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 * =============================================================================
17 */
18Object.defineProperty(exports, "__esModule", { value: true });
19var tfjs_1 = require("@tensorflow/tfjs");
20var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
21exports.avgPoolConfig = {
22 kernelName: tfjs_1.AvgPool,
23 backendName: 'tensorflow',
24 kernelFunc: function (args) {
25 var x = args.inputs.x;
26 var backend = args.backend;
27 var _a = args.attrs, filterSize = _a.filterSize, strides = _a.strides, pad = _a.pad, dimRoundingMode = _a.dimRoundingMode;
28 var convInfo = tfjs_1.backend_util.computePool2DInfo(x.shape, filterSize, strides, 1 /* dilations */, pad, dimRoundingMode);
29 if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
30 throw new Error("TF Backend supports only 'valid' and 'same' padding " +
31 ("while padding was " + convInfo.padInfo.type));
32 }
33 var ksize = [1, convInfo.filterHeight, convInfo.filterWidth, 1];
34 var $strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
35 var padding = convInfo.padInfo.type;
36 var dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
37 var opAttrs = [
38 nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', x.dtype),
39 { name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize },
40 { name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides },
41 { name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding },
42 {
43 name: 'data_format',
44 type: backend.binding.TF_ATTR_STRING,
45 value: dataFormat
46 },
47 ];
48 return backend.executeSingleOutput(tfjs_1.AvgPool, opAttrs, [x]);
49 }
50};