@hoff97/tensor-js
Version:
PyTorch like deep learning inferrence library
26 lines (25 loc) • 1.03 kB
TypeScript
import { DTypeGpu, GPUTensorConstructor, GPUTensorI } from '../../../tensor/gpu/interface';
import { GPUMemoryAllocator } from '../../../tensor/gpu/memory';
import { Operation } from '../operation';
export interface CopyInfo {
shapeX?: readonly number[];
widthX?: number;
heightX?: number;
shapeOutput?: readonly number[];
widthOutput?: number;
heightOutput?: number;
}
export interface CopyInput {
input: GPUTensorI;
outputShape?: readonly number[];
}
export declare class CopyOperation<GPUTensor extends GPUTensorI> extends Operation<GPUTensor, CopyInfo, CopyInput> {
constructor(tensorConstructor: GPUTensorConstructor<GPUTensor>, dtype: DTypeGpu, allocator?: GPUMemoryAllocator);
getFragmentShader(info: CopyInfo): string;
getTextureNames(): string[];
calc(input: CopyInput): GPUTensor;
getOutputShape(input: CopyInput): readonly number[];
compile(info: CopyInfo): void;
getCompilationInfo(input: CopyInput): CopyInfo;
getInputInfoString(input: CopyInput): string;
}