@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/).
44 lines (43 loc) • 1.86 kB
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.mirrorPadConfig = void 0;
var tfjs_1 = require("@tensorflow/tfjs");
var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
exports.mirrorPadConfig = {
kernelName: tfjs_1.MirrorPad,
backendName: 'tensorflow',
kernelFunc: function (_a) {
var inputs = _a.inputs, backend = _a.backend, attrs = _a.attrs;
var x = inputs.x;
var _b = attrs, paddings = _b.paddings, mode = _b.mode;
var nodeBackend = backend;
var paddingsTensor = (0, tfjs_1.tensor2d)(paddings, [paddings.length, 2], 'int32');
var opAttrs = [
(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('T', x.dtype),
(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('Tpaddings', paddingsTensor.dtype), {
name: 'mode',
type: nodeBackend.binding.TF_ATTR_STRING,
value: mode.toUpperCase()
}
];
var output = nodeBackend.executeSingleOutput('MirrorPad', opAttrs, [x, paddingsTensor]);
paddingsTensor.dispose();
return output;
}
};