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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
|
|
