@hoff97/tensor-js/dist/lib/ops/gpu/unary/clip.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 ClipInfo {
    shapeX?: readonly number[];
    widthX?: number;
    heightX?: number;
    shapeOutput?: readonly number[];
    widthOutput?: number;
    heightOutput?: number;
    minVal?: number;
    maxVal?: number;
    doMin?: number;
    doMax?: number;
}
export interface ClipInput {
    input: GPUTensorI;
    minVal?: number;
    maxVal?: number;
}
export declare class ClipOperation<GPUTensor extends GPUTensorI> extends Operation<GPUTensor, ClipInfo, ClipInput> {
    constructor(tensorConstructor: GPUTensorConstructor<GPUTensor>, dtype: DTypeGpu, allocator?: GPUMemoryAllocator);
    getFragmentShader(info: ClipInfo): string;
    getTextureNames(): string[];
    getVariables(): string;
    getUniformAttrs(): Input[];
    calc(input: ClipInput): GPUTensor;
    getOutputShape(input: ClipInput): readonly number[];
    compile(info: ClipInfo): void;
    getCompilationInfo(input: ClipInput): ClipInfo;
    getInputInfoString(input: ClipInput): string;
}