matx.vision.tv_transforms.transpose 源代码

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from typing import Any, Tuple, List
import sys
matx = sys.modules['matx']
from .. import NHWC, NCHW, ASYNC, TransposeOp

from ._base import BaseInterfaceClass


class TransposeCpuOp:
    def __init__(self,
                 device: Any,
                 src_fmt: str = NHWC,
                 dst_fmt: str = NCHW) -> None:
        self.device: Any = device
        self.src_fmt: str = src_fmt
        self.dst_fmt: str = dst_fmt

    def __call__(self, images: matx.NDArray, sync: int = 0) -> matx.NDArray:
        if self.src_fmt == self.dst_fmt:
            return images
        if self.src_fmt == NHWC:
            return images.transpose([0, 3, 1, 2]).contiguous()
        else:
            return images.transpose([0, 2, 3, 1]).contiguous()


[文档]class Transpose(BaseInterfaceClass):
[文档] def __init__(self, src_fmt: str = NHWC, dst_fmt: str = NCHW, device_id: int = -2, sync: int = ASYNC) -> None: super().__init__(device_id=device_id, sync=sync) self._src_fmt: str = src_fmt self._dst_fmt: str = dst_fmt
[文档] def __call__(self, device: Any, device_str: str, sync: int) -> Any: return TransposeImpl(device, device_str, self._src_fmt, self._dst_fmt, sync)
class TransposeImpl: def __init__(self, device: Any, device_str: str, src_fmt: str = NHWC, dst_fmt: str = NCHW, sync: int = ASYNC) -> None: super().__init__() if device_str == "cpu": self.op: Any = TransposeCpuOp(device, src_fmt, dst_fmt) else: self.op: Any = TransposeOp(device, src_fmt, dst_fmt) self.device_str: str = device_str self.src_fmt: str = src_fmt self.dst_fmt: str = dst_fmt self.sync: int = sync self.name: str = "Transpose" def __call__(self, imgs: matx.NDArray, apply_index: List[int] = []) -> matx.NDArray: assert len(apply_index) == 0, "apply_index is not supported by transpose." return self.op(imgs, sync=self.sync) def __repr__(self) -> str: return self.name + '(from={0}, to={1}, device={2}, sync={3})'.format( self.src_fmt, self.dst_fmt, self.device_str, self.sync)