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onnxruntime-web

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A Javascript library for running ONNX models on browsers

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'use strict'; // Copyright (c) Microsoft Corporation. All rights reserved. // Licensed under the MIT License. Object.defineProperty(exports, '__esModule', { value: true }); exports.parseSqueezeAttributes = exports.squeezeV13 = exports.squeeze = void 0; const util_1 = require('../../../util'); const squeeze = (inferenceHandler, inputs, axes) => { validateInputs(inputs); const outputShape = util_1.ShapeUtil.squeezeShape(inputs[0].dims, axes); const output = inferenceHandler.reshapeUnpacked(inputs[0], outputShape); return [output]; }; exports.squeeze = squeeze; const squeezeV13 = (inferenceHandler, inputs) => { validateInputsV13(inputs); return (0, exports.squeeze)(inferenceHandler, [inputs[0]], Array.from(inputs[1].integerData)); }; exports.squeezeV13 = squeezeV13; const parseSqueezeAttributes = (node) => node.attributes.getInts('axes'); exports.parseSqueezeAttributes = parseSqueezeAttributes; const validateInputs = (inputs) => { if (!inputs || inputs.length !== 1) { throw new Error('Squeeze requires 1 input.'); } if (inputs[0].type === 'string') { throw new Error('invalid input tensor types.'); } }; const validateInputsV13 = (inputs) => { if (!inputs || inputs.length !== 2) { throw new Error('Squeeze requires 2 inputs.'); } if (inputs[1].type !== 'int32') { throw new Error('Invalid input type.'); } }; //# sourceMappingURL=squeeze.js.map