@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
57 lines • 2.59 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 });
// TODO(yassogba) Import utils directly until we can break the cyclic dependency
var backend_util = require("../../../backends/backend_util");
var util = require("../../../util");
function broadcastedBinaryOp(aShape, bShape, aVals, bVals, dtype, op) {
var newShape = backend_util.assertAndGetBroadcastShape(aShape, bShape);
var resultRank = newShape.length;
var resultStrides = util.computeStrides(newShape);
var resultSize = util.sizeFromShape(newShape);
var result = util.getTypedArrayFromDType(dtype, resultSize);
var aRank = aShape.length;
var bRank = bShape.length;
var aStrides = util.computeStrides(aShape);
var bStrides = util.computeStrides(bShape);
var aBroadcastDims = backend_util.getBroadcastDims(aShape, newShape);
var bBroadcastDims = backend_util.getBroadcastDims(bShape, newShape);
if (aBroadcastDims.length + bBroadcastDims.length === 0) {
for (var i = 0; i < result.length; ++i) {
result[i] = op(aVals[i % aVals.length], bVals[i % bVals.length]);
}
}
else {
var _loop_1 = function (i) {
var loc = util.indexToLoc(i, resultRank, resultStrides);
var aLoc = loc.slice(-aRank);
aBroadcastDims.forEach(function (d) { return aLoc[d] = 0; });
var aIndex = util.locToIndex(aLoc, aRank, aStrides);
var bLoc = loc.slice(-bRank);
bBroadcastDims.forEach(function (d) { return bLoc[d] = 0; });
var bIndex = util.locToIndex(bLoc, bRank, bStrides);
result[i] = op(aVals[aIndex], bVals[bIndex]);
};
for (var i = 0; i < result.length; ++i) {
_loop_1(i);
}
}
return [result, newShape];
}
exports.broadcastedBinaryOp = broadcastedBinaryOp;
//# sourceMappingURL=kernel_utils.js.map