@hoff97/tensor-js/dist/lib/onnx/nodes/slice.js

PyTorch like deep learning inferrence library

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 SliceNode extends OnnxNode {
    constructor(attributes, inputs, outputs, constants, onnxVersion, mode) {
        super(attributes, inputs, outputs, constants, onnxVersion, mode);
        this.axes = this.getAttributeInts('axes');
        this.starts = this.getAttributeInts('starts');
        this.ends = this.getAttributeInts('ends');
    }
    forward(inputs) {
        return __awaiter(this, void 0, void 0, function* () {
            if (this.onnxVersion < 10) {
                if (this.starts === undefined || this.ends === undefined) {
                    throw new Error('Slice with onnx version < 10 needs starts and ends defined as attributes');
                }
                const x = inputs[0];
                return [x.slice(this.starts, this.ends, this.axes)];
            }
            else {
                const x = inputs[0];
                const starts = inputs[1];
                const ends = inputs[2];
                const axes = inputs[3];
                const steps = inputs[4];
                const startValues = yield this.toValues(starts);
                const endValues = yield this.toValues(ends);
                const axesValues = axes !== undefined ? yield this.toValues(axes) : undefined;
                const stepValues = steps !== undefined ? yield this.toValues(steps) : undefined;
                return [x.slice(startValues, endValues, axesValues, stepValues)];
            }
        });
    }
    getType() {
        return 'Slice';
    }
    delete() { }
}
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