"use strict";
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/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.nonMaxSuppressionV3Config = void 0;
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var tfjs_1 = require("@tensorflow/tfjs");
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var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
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exports.nonMaxSuppressionV3Config = {
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kernelName: tfjs_1.NonMaxSuppressionV3,
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backendName: 'tensorflow',
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kernelFunc: function (args) {
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var _a = args.inputs, boxes = _a.boxes, scores = _a.scores;
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var backend = args.backend;
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var _b = args.attrs, maxOutputSize = _b.maxOutputSize, iouThreshold = _b.iouThreshold, scoreThreshold = _b.scoreThreshold;
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var opAttrs = [(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('T', boxes.dtype)];
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var maxOutputSizeTensor = (0, tfjs_1.scalar)(maxOutputSize, 'int32');
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var iouThresholdTensor = (0, tfjs_1.scalar)(iouThreshold);
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var scoreThresholdTensor = (0, tfjs_1.scalar)(scoreThreshold);
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var res = backend.executeSingleOutput(tfjs_1.NonMaxSuppressionV3, opAttrs, [
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boxes, scores, maxOutputSizeTensor, iouThresholdTensor,
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scoreThresholdTensor
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]);
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maxOutputSizeTensor.dispose();
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iouThresholdTensor.dispose();
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scoreThresholdTensor.dispose();
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return res;
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}
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};
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