@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
45 lines • 2.41 kB
JavaScript
;
/**
* @license
* Copyright 2018 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 });
var broadcast_util = require("../../ops/broadcast_util");
var BatchNormPackedProgram = /** @class */ (function () {
function BatchNormPackedProgram(xShape, meanShape, varianceShape, offsetShape, scaleShape, varianceEpsilon) {
this.packedInputs = true;
this.packedOutput = true;
this.variableNames = ['x', 'mean', 'variance'];
broadcast_util.assertAndGetBroadcastShape(xShape, meanShape);
broadcast_util.assertAndGetBroadcastShape(xShape, varianceShape);
var offsetSnippet = 'vec4(0.0)';
if (offsetShape != null) {
broadcast_util.assertAndGetBroadcastShape(xShape, offsetShape);
this.variableNames.push('offset');
offsetSnippet = 'getOffsetAtOutCoords()';
}
var scaleSnippet = 'vec4(1.0)';
if (scaleShape != null) {
broadcast_util.assertAndGetBroadcastShape(xShape, scaleShape);
this.variableNames.push('scale');
scaleSnippet = 'getScaleAtOutCoords()';
}
this.outputShape = xShape;
this.userCode = "\n void main() {\n vec4 offset = " + offsetSnippet + ";\n vec4 scale = " + scaleSnippet + ";\n\n vec4 x = getXAtOutCoords();\n vec4 mean = getMeanAtOutCoords();\n vec4 variance = getVarianceAtOutCoords();\n\n vec4 inv = scale * inversesqrt(variance + vec4(" + varianceEpsilon + "));\n\n setOutput((x - mean) * inv + offset);\n }\n ";
}
return BatchNormPackedProgram;
}());
exports.BatchNormPackedProgram = BatchNormPackedProgram;
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