@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/).
59 lines (58 loc) • 2.17 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.fillConfig = void 0;
var tfjs_1 = require("@tensorflow/tfjs");
exports.fillConfig = {
kernelName: tfjs_1.Fill,
backendName: 'tensorflow',
kernelFunc: function (args) {
var backend = args.backend;
var _a = args.attrs, shape = _a.shape, value = _a.value;
var dtype = args.attrs.dtype;
// TODO(cais, nkreeger): Investigate whether backend can be made into
// a dtype helper method. The underlying op kernel doesn't accept undefined
// or null dtype.
if (dtype == null) {
if (typeof value === 'number') {
dtype = 'float32';
}
else {
dtype = 'string';
}
}
var shapeTensor = (0, tfjs_1.tensor1d)(shape, 'int32');
var valueTensor = (0, tfjs_1.scalar)(value, dtype);
var opAttrs = [
{
name: 'T',
type: backend.binding.TF_ATTR_TYPE,
value: backend.getDTypeInteger(dtype)
},
{
name: 'index_type',
type: backend.binding.TF_ATTR_TYPE,
value: backend.binding.TF_INT32
}
];
var res = backend.executeSingleOutput(tfjs_1.Fill, opAttrs, [shapeTensor, valueTensor]);
shapeTensor.dispose();
valueTensor.dispose();
return res;
}
};
;