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// META: title=test WebNN API batchNormalization operation
// META: global=window,dedicatedworker
// META: script=./resources/utils.js
// META: timeout=long
'use strict';
// https://webmachinelearning.github.io/webnn/#api-mlgraphbuilder-batchnorm
const buildBatchNorm = (operationName, builder, resources) => {
// MLOperand batchNormalization(MLOperand input, MLOperand mean, MLOperand variance,
// optional MLBatchNormalizationOptions options = {});
const namedOutputOperand = {};
const [inputOperand, meanOperand, varianceOperand] = createMultiInputOperands(builder, resources);
const batchNormOptions = {...resources.options};
if (batchNormOptions.scale) {
batchNormOptions.scale = createConstantOperand(builder, batchNormOptions.scale);
}
if (batchNormOptions.bias) {
batchNormOptions.bias = createConstantOperand(builder, batchNormOptions.bias);
}
if (batchNormOptions.activation) {
batchNormOptions.activation = builder[batchNormOptions.activation]();
}
// invoke builder.batchNormalization()
namedOutputOperand[resources.expected.name] =
builder[operationName](inputOperand, meanOperand, varianceOperand, batchNormOptions);
return namedOutputOperand;
};
testWebNNOperation('batchNormalization', buildBatchNorm);
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