"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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var kernel_names_1 = require("../../../kernel_names");
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var cpu_util_1 = require("../cpu_util");
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var kernel_utils_1 = require("../utils/kernel_utils");
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exports.squaredDifferenceConfig = {
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kernelName: kernel_names_1.SquaredDifference,
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backendName: 'cpu',
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kernelFunc: function (_a) {
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var inputs = _a.inputs, backend = _a.backend;
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var _b = inputs, a = _b.a, b = _b.b;
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var cpuBackend = backend;
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cpu_util_1.assertNotComplex([a, b], kernel_names_1.SquaredDifference);
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var aVals = cpuBackend.data.get(a.dataId).values;
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var bVals = cpuBackend.data.get(b.dataId).values;
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var _c = kernel_utils_1.broadcastedBinaryOp(a.shape, b.shape, aVals, bVals, a.dtype, function (aVal, bVal) {
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var diff = aVal - bVal;
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return diff * diff;
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}), resultData = _c[0], resultShape = _c[1];
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var dataId = cpuBackend.write(resultData, resultShape, a.dtype);
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return { dataId: dataId, shape: resultShape, dtype: a.dtype };
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}
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};
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//# sourceMappingURL=SquaredDifference.js.map
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