1 | "use strict";
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18 | Object.defineProperty(exports, "__esModule", { value: true });
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19 | var tfjs_1 = require("@tensorflow/tfjs");
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20 | var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
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21 | exports.argMinConfig = {
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22 | kernelName: tfjs_1.ArgMin,
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23 | backendName: 'tensorflow',
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24 | kernelFunc: function (args) {
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25 | var x = args.inputs.x;
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26 | var backend = args.backend;
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27 | var axis = args.attrs.axis;
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28 | var toDispose = [];
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29 | var xInput = x;
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30 | if (x.dtype === 'bool') {
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31 | xInput = x.toInt();
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32 | toDispose.push(xInput);
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33 | }
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34 | var axisScalar = tfjs_1.scalar(axis, 'int32');
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35 | toDispose.push(axisScalar);
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36 | var opAttrs = [
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37 | nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', xInput.dtype),
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38 | nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tidx', 'int32'),
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39 | nodejs_kernel_backend_1.createTensorsTypeOpAttr('output_type', 'int32')
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40 | ];
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41 | var res = backend.executeSingleOutput(tfjs_1.ArgMin, opAttrs, [xInput, axisScalar]);
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42 | toDispose.forEach(function (t) { return t.dispose(); });
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43 | return res;
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44 | }
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45 | };
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