@hoff97/tensor-js/dist/lib/ops/gpu/matMul/matmul.d.ts

PyTorch like deep learning inferrence library

import { DTypeGpu, GPUTensorConstructor, GPUTensorI } from '../../../tensor/gpu/interface';
import { GPUMemoryAllocator } from '../../../tensor/gpu/memory';
import { Operation } from '../operation';
export interface MatMulInfo {
    shapeA?: readonly number[];
    widthA?: number;
    heightA?: number;
    shapeB?: readonly number[];
    widthB?: number;
    heightB?: number;
    shapeOutput?: readonly number[];
    widthOutput?: number;
    heightOutput?: number;
}
export interface MatMulInput {
    A: GPUTensorI;
    B: GPUTensorI;
}
export declare class MatMulOperation<GPUTensor extends GPUTensorI> extends Operation<GPUTensor, MatMulInfo, MatMulInput> {
    protected maxIterations: number;
    constructor(tensorConstructor: GPUTensorConstructor<GPUTensor>, dtype: DTypeGpu, allocator?: GPUMemoryAllocator);
    getFragmentShader(info: MatMulInfo): string;
    getTextureNames(): string[];
    calc(input: MatMulInput): GPUTensor;
    getOutputShape(input: MatMulInput): readonly number[];
    compile(info: MatMulInfo): void;
    getCompilationInfo(input: MatMulInput): MatMulInfo;
    getInputInfoString(input: MatMulInput): string;
}