@hoff97/tensor-js/dist/lib/ops/gpu/util/slice.d.ts

PyTorch like deep learning inferrence library

import { DTypeGpu, GPUTensorConstructor, GPUTensorI } from '../../../tensor/gpu/interface';
import { GPUMemoryAllocator } from '../../../tensor/gpu/memory';
import { Input, Operation } from '../operation';
export interface SliceInfo {
    shapeX?: readonly number[];
    widthX?: number;
    heightX?: number;
    shapeOutput?: readonly number[];
    widthOutput?: number;
    heightOutput?: number;
    starts?: readonly number[];
    ends?: readonly number[];
    axes?: readonly number[];
    steps?: readonly number[];
    offsets?: number[];
}
export interface SliceInput {
    X: GPUTensorI;
    starts: number[];
    ends: number[];
    axes: number[];
    steps: number[];
}
export declare class SliceOperation<GPUTensor extends GPUTensorI> extends Operation<GPUTensor, SliceInfo, SliceInput> {
    constructor(tensorConstructor: GPUTensorConstructor<GPUTensor>, dtype: DTypeGpu, allocator?: GPUMemoryAllocator);
    getFragmentShader(info: SliceInfo): string;
    getTextureNames(): string[];
    getVariables(): string;
    getUniformAttrs(): Input[];
    calc(input: SliceInput): GPUTensor;
    getOutputShape(input: SliceInput): readonly number[];
    compile(info: SliceInfo): void;
    getCompilationInfo(input: SliceInput): SliceInfo;
    getInputInfoString(input: SliceInput): string;
}