@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.gatherV2Config = void 0;
var tfjs_1 = require("@tensorflow/tfjs");
var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
exports.gatherV2Config = {
kernelName: tfjs_1.GatherV2,
backendName: 'tensorflow',
kernelFunc: function (args) {
var _a = args.inputs, x = _a.x, indices = _a.indices;
var backend = args.backend;
var _b = args.attrs, axis = _b.axis, batchDims = _b.batchDims;
// Throw error when any index is out of bound.
var indicesVals = backend.readSync(indices.dataId);
var axisDim = x.shape[axis];
var _loop_1 = function (i) {
var index = indicesVals[i];
tfjs_1.util.assert(index <= axisDim - 1 && index >= 0, function () { return "GatherV2: the index value ".concat(index, " is not in [0, ").concat(axisDim - 1, "]"); });
};
for (var i = 0; i < indicesVals.length; ++i) {
_loop_1(i);
}
// validate the inputs
tfjs_1.backend_util.segment_util.collectGatherOpShapeInfo(x, indices, axis, batchDims);
var axisTensor = (0, tfjs_1.scalar)(axis, 'int32');
var opAttrs = [
{ name: 'batch_dims', type: backend.binding.TF_ATTR_INT, value: batchDims },
(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('Tparams', x.dtype),
(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('Tindices', indices.dtype),
(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('Taxis', 'int32')
];
var res = backend.executeSingleOutput(tfjs_1.GatherV2, opAttrs, [x, indices, axisTensor]);
axisTensor.dispose();
return res;
}
};