@hoff97/tensor-js
Version:
PyTorch like deep learning inferrence library
30 lines (29 loc) • 1.23 kB
TypeScript
import { DTypeGpu, GPUTensorConstructor, GPUTensorI } from '../../../tensor/gpu/interface';
import { GPUMemoryAllocator } from '../../../tensor/gpu/memory';
import { Input, Operation } from '../operation';
export interface TransposeInfo {
shapeA?: readonly number[];
widthA?: number;
heightA?: number;
shapeOutput?: readonly number[];
widthOutput?: number;
heightOutput?: number;
permutation?: readonly number[];
mappedStrides?: readonly number[];
}
export interface TransposeInput {
A: GPUTensorI;
permutation: readonly number[];
}
export declare class TransposeOperation<GPUTensor extends GPUTensorI> extends Operation<GPUTensor, TransposeInfo, TransposeInput> {
constructor(tensorConstructor: GPUTensorConstructor<GPUTensor>, dtype: DTypeGpu, allocator?: GPUMemoryAllocator);
getVariables(): string;
getUniformAttrs(): Input[];
getFragmentShader(info: TransposeInfo): string;
getTextureNames(): string[];
calc(input: TransposeInput): GPUTensor;
getOutputShape(input: TransposeInput): readonly number[];
compile(info: TransposeInfo): void;
getCompilationInfo(input: TransposeInput): TransposeInfo;
getInputInfoString(input: TransposeInput): string;
}