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- "use strict";
- Object.defineProperty(exports, "__esModule", { value: true });
- var tf = require("@tensorflow/tfjs-core");
- var leaky_1 = require("./leaky");
- function convWithBatchNorm(x, params) {
- return tf.tidy(function () {
- var out = tf.pad(x, [[0, 0], [1, 1], [1, 1], [0, 0]]);
- out = tf.conv2d(out, params.conv.filters, [1, 1], 'valid');
- out = tf.sub(out, params.bn.sub);
- out = tf.mul(out, params.bn.truediv);
- out = tf.add(out, params.conv.bias);
- return leaky_1.leaky(out);
- });
- }
- exports.convWithBatchNorm = convWithBatchNorm;
- //# sourceMappingURL=convWithBatchNorm.js.map
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