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@hoff97/tensor-js

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PyTorch like deep learning inferrence library

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var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) { function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); } return new (P || (P = Promise))(function (resolve, reject) { function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } } function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } } function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); } step((generator = generator.apply(thisArg, _arguments || [])).next()); }); }; import { OnnxNode } from '../../node'; export class PadNode extends OnnxNode { constructor(attributes, inputs, outputs, constants, onnxVersion, mode) { super(attributes, inputs, outputs, constants, onnxVersion, mode); this.padMode = (this.getAttributeString('mode') || 'constant'); //@ts-ignore this.pads = this.getAttributeInts('pads'); this.value = this.getAttributeFloat('value') || 0; } forward(inputs) { return __awaiter(this, void 0, void 0, function* () { if (this.onnxVersion < 11) { return [inputs[0].pad(this.pads, this.padMode, this.value)]; } throw new Error(`Pad not implemented for onnx version ${this.onnxVersion}`); }); } getType() { return 'Pad'; } delete() { } } //# sourceMappingURL=pad.js.map