#1449 [DO NOT DELETE OR MERGE] Nightly build

from torchvision import utils
from torchvision import io

from .extension import _HAS_OPS
import torch

try:
    from .version import __version__  # noqa: F401
except ImportError:
    pass

# Check if torchvision is being imported within the root folder
if (not _HAS_OPS and os.path.dirname(os.path.realpath(__file__)) ==
        os.path.join(os.path.realpath(os.getcwd()), 'torchvision')):
    message = ('You are importing torchvision within its own root folder ({}). '
               'This is not expected to work and may give errors. Please exit the '
               'torchvision project source and relaunch your python interpreter.')
    warnings.warn(message.format(os.getcwd()))

_image_backend = 'PIL'

_video_backend = "pyav"

@@ -49,18 +60,22 @@

    Args:
        backend (string): Name of the video backend. one of {'pyav', 'video_reader'}.
            The :mod:`pyav` package uses the 3rd party PyAv library. It is a Pythonic
                binding for the FFmpeg libraries.
            The :mod:`video_reader` package includes a native c++ implementation on
                top of FFMPEG libraries, and a python API of TorchScript custom operator.
                It is generally decoding faster than pyav, but perhaps is less robust.
            binding for the FFmpeg libraries.
            The :mod:`video_reader` package includes a native C++ implementation on
            top of FFMPEG libraries, and a python API of TorchScript custom operator.
            It is generally decoding faster than :mod:`pyav`, but perhaps is less robust.
    """
    global _video_backend
    if backend not in ["pyav", "video_reader"]:
        raise ValueError(
            "Invalid video backend '%s'. Options are 'pyav' and 'video_reader'" % backend
        )
    if backend == "video_reader" and not io._HAS_VIDEO_OPT:
        warnings.warn("video_reader video backend is not available")
        message = (
            "video_reader video backend is not available."
            " Please compile torchvision from source and try again"
        )
        warnings.warn(message)
    else:
        _video_backend = backend


@@ -70,5 +85,4 @@



def _is_tracing():
    import torch
    return torch._C._get_tracing_state()

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7	10		from torchvision import utils
8	11		from torchvision import io
9	12
10		-	from .extension import _HAS_OPS
	13	+	import torch
11	14
12	15		try:
13	16		from .version import __version__ # noqa: F401
14	17		except ImportError:
15	18		pass
16	19
	20	+	# Check if torchvision is being imported within the root folder
	21	+	if (not _HAS_OPS and os.path.dirname(os.path.realpath(__file__)) ==
	22	+	os.path.join(os.path.realpath(os.getcwd()), 'torchvision')):
	23	+	message = ('You are importing torchvision within its own root folder ({}). '
	24	+	'This is not expected to work and may give errors. Please exit the '
	25	+	'torchvision project source and relaunch your python interpreter.')
	26	+	warnings.warn(message.format(os.getcwd()))
	27	+
17	28		_image_backend = 'PIL'
18	29
19	30		_video_backend = "pyav"

49	60		Args:
50	61		backend (string): Name of the video backend. one of {'pyav', 'video_reader'}.
51	62		The :mod:`pyav` package uses the 3rd party PyAv library. It is a Pythonic
52		-	binding for the FFmpeg libraries.
53		-	The :mod:`video_reader` package includes a native c++ implementation on
54		-	top of FFMPEG libraries, and a python API of TorchScript custom operator.
55		-	It is generally decoding faster than pyav, but perhaps is less robust.
	63	+	binding for the FFmpeg libraries.
	64	+	The :mod:`video_reader` package includes a native C++ implementation on
	65	+	top of FFMPEG libraries, and a python API of TorchScript custom operator.
	66	+	It is generally decoding faster than :mod:`pyav`, but perhaps is less robust.
56	67		"""
57	68		global _video_backend
58	69		if backend not in ["pyav", "video_reader"]:
59	70		raise ValueError(
60	71		"Invalid video backend '%s'. Options are 'pyav' and 'video_reader'" % backend
61	72		)
62	73		if backend == "video_reader" and not io._HAS_VIDEO_OPT:
63		-	warnings.warn("video_reader video backend is not available")
	74	+	message = (
	75	+	"video_reader video backend is not available."
	76	+	" Please compile torchvision from source and try again"
	77	+	)
	78	+	warnings.warn(message)
64	79		else:
65	80		_video_backend = backend
66	81

70	85
71	86
72	87		def _is_tracing():
73		-	import torch
74	88		return torch._C._get_tracing_state()

#1449 [DO NOT DELETE OR MERGE] Nightly build

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