@tensorflow/tfjs-node
Version:
This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).
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JavaScript
;
/**
* @license
* Copyright 2020 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.
* =============================================================================
*/
Object.defineProperty(exports, "__esModule", { value: true });
exports.avgPoolConfig = void 0;
var tfjs_1 = require("@tensorflow/tfjs");
var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
exports.avgPoolConfig = {
kernelName: tfjs_1.AvgPool,
backendName: 'tensorflow',
kernelFunc: function (args) {
var x = args.inputs.x;
var backend = args.backend;
var _a = args.attrs, filterSize = _a.filterSize, strides = _a.strides, pad = _a.pad, dimRoundingMode = _a.dimRoundingMode;
var convInfo = tfjs_1.backend_util.computePool2DInfo(x.shape, filterSize, strides, 1 /* dilations */, pad, dimRoundingMode);
if (convInfo.padInfo.type !== 'VALID' && convInfo.padInfo.type !== 'SAME') {
throw new Error("TF Backend supports only 'valid' and 'same' padding " +
"while padding was ".concat(convInfo.padInfo.type));
}
var ksize = [1, convInfo.filterHeight, convInfo.filterWidth, 1];
var $strides = [1, convInfo.strideHeight, convInfo.strideWidth, 1];
var padding = convInfo.padInfo.type;
var dataFormat = convInfo.dataFormat === 'channelsLast' ? 'NHWC' : 'NCHW';
var opAttrs = [
(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('T', x.dtype),
{ name: 'ksize', type: backend.binding.TF_ATTR_INT, value: ksize },
{ name: 'strides', type: backend.binding.TF_ATTR_INT, value: $strides },
{ name: 'padding', type: backend.binding.TF_ATTR_STRING, value: padding },
{
name: 'data_format',
type: backend.binding.TF_ATTR_STRING,
value: dataFormat
},
];
return backend.executeSingleOutput(tfjs_1.AvgPool, opAttrs, [x]);
}
};