Cannot import name 'SourceIR' from 'torch_tensorrt.fx.converters.converter_utils'
Selur opened this issue · 1 comments
Selur commented
- created 'Vapoursynth'-folder
- downloaded 'Windows embeddable package (64-bit)' from https://www.python.org/downloads/release/python-3123/
- extracted it into the 'Vapoursynth'-folder
- downloaded 'VapourSynth64-Portable-R68' from https://github.com/vapoursynth/vapoursynth/releases
- extracted it into the 'Vapoursynth'-folder
- finished Vapoursynth portable installation:
- adjusted
python312._pthby adding:
Scripts Lib\site-packages- installed pip:
- download get-pip.py from https://bootstrap.pypa.io/get-pip.py into the 'Vapoursynth'-folder
python get-pip.py
python -m pip install wheel\VapourSynth-68-cp312-cp312-win_amd64.whl
- adjusted
- installed torch dependencies:
python -m pip install wheel- install TensorRT FX
python -m pip install torch_tensorrt_fx_only
- install Pytorch 2.4 dev (uninstalled torch 2.3.0 and installed Pytorch 2.4.0.dev20240519+cu121)
python -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu121
- install TensorRT
python -m pip install https://github.com/HolyWu/vs-dpir/releases/download/v4.1.0/torch_tensorrt-2.4.0.dev20240518+cu121-cp312-cp312-win_amd64.whlpython -m pip install tensorrt==10.0.1 tensorrt-cu12_bindings==10.0.1 tensorrt-cu12_libs==10.0.1 --extra-index-url https://pypi.nvidia.com
- installed 'vsrife':
python -m pip install -U vsrifepython -m vsrife
Calling it with:
# Imports
import vapoursynth as vs
# getting Vapoursynth core
import sys
import os
core = vs.core
# Import scripts folder
scriptPath = 'F:/Hybrid/64bit/vsscripts'
sys.path.insert(0, os.path.abspath(scriptPath))
# loading plugins
core.std.LoadPlugin(path="F:/Hybrid/64bit/vsfilters/MiscFilter/MiscFilters/MiscFilters.dll")
core.std.LoadPlugin(path="F:/Hybrid/64bit/vsfilters/SourceFilter/LSmashSource/LSMASHSource.dll")
# Import scripts
import ChangeFPS
import validate
# Source: 'G:\TestClips&Co\files\test.avi'
# Current color space: YUV420P8, bit depth: 8, resolution: 640x352, frame rate: 25fps, scanorder: progressive, yuv luminance scale: limited, matrix: 470bg
# Loading G:\TestClips&Co\files\test.avi using LWLibavSource
clip = core.lsmas.LWLibavSource(source="G:/TestClips&Co/files/test.avi", format="YUV420P8", stream_index=0, cache=0, fpsnum=25, prefer_hw=0)
frame = clip.get_frame(0)
# Setting detected color matrix (470bg).
clip = core.std.SetFrameProps(clip=clip, _Matrix=5)
# setting color transfer (170), if it is not set.
if validate.transferIsInvalid(clip):
clip = core.std.SetFrameProps(clip=clip, _Transfer=6)
# setting color primaries info (to 470), if it is not set.
if validate.primariesIsInvalid(clip):
clip = core.std.SetFrameProps(clip=clip, _Primaries=5)
# setting color range to TV (limited) range.
clip = core.std.SetFrameProps(clip=clip, _ColorRange=1)
# making sure frame rate is set to 25fps
clip = core.std.AssumeFPS(clip=clip, fpsnum=25, fpsden=1)
# making sure the detected scan type is set (detected: progressive)
clip = core.std.SetFrameProps(clip=clip, _FieldBased=0) # progressive
original = clip
from vsrife import rife
# adjusting color space from YUV420P8 to RGBS for vsTorchRIFE
clip = core.resize.Bicubic(clip=clip, format=vs.RGBS, matrix_in_s="470bg", range_s="limited")
# adjusting frame count&rate with RIFE (torch)
clip = rife(clip, sc_threshold=0.150) # new fps: 50
# adjusting frame count by adding duplicate frames
original = ChangeFPS.ChangeFPS(clip=original,target_fps_num=50,target_fps_den=1)
# adjusting output color from: YUV420P8 to YUV420P10 for NVEncModel
original = core.resize.Bicubic(clip=original, format=vs.YUV420P10, range_s="limited")
# adjusting output color from: RGBS to YUV420P10 for NVEncModel
clip = core.resize.Bicubic(clip=clip, format=vs.YUV420P10, matrix_s="470bg", range_s="limited", dither_type="error_diffusion")
original = core.text.Text(clip=original,text="Original",scale=1,alignment=7)
clip = core.text.Text(clip=clip,text="Filtered",scale=1,alignment=7)
stacked = core.std.StackHorizontal([original,clip])
# set output frame rate to 50fps (progressive)
stacked = core.std.AssumeFPS(clip=stacked, fpsnum=50, fpsden=1)
# output
stacked.set_output()
results in:
Python exception: cannot import name 'SourceIR' from 'torch_tensorrt.fx.converters.converter_utils' (F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\fx\converters\converter_utils.py)
Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3365, in vapoursynth._vpy_evaluate
File "src\\cython\\vapoursynth.pyx", line 3366, in vapoursynth._vpy_evaluate
File "J:\tmp\tempPreviewVapoursynthFile20_19_40_586.vpy", line 40, in
clip = rife(clip, sc_threshold=0.150) # new fps: 50
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsrife\__init__.py", line 199, in rife
from .IFNet_HDv3_v4_15_lite import IFNet
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsrife\IFNet_HDv3_v4_15_lite.py", line 4, in
from .interpolate import interpolate
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsrife\interpolate.py", line 11, in
from torch_tensorrt.dynamo._SourceIR import SourceIR
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\__init__.py", line 133, in
from torch_tensorrt.dynamo import backend # noqa: F401
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\dynamo\__init__.py", line 10, in
from ._compiler import compile, convert_module_to_trt_engine
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\dynamo\_compiler.py", line 14, in
from torch_tensorrt.dynamo import _defaults, partitioning
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\dynamo\partitioning\__init__.py", line 1, in
from ._adjacency_partitioner import partition as fast_partition
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\dynamo\partitioning\_adjacency_partitioner.py", line 20, in
from torch_tensorrt.dynamo.conversion._ConverterRegistry import (
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\dynamo\conversion\__init__.py", line 1, in
from . import aten_ops_converters, ops_evaluators, prims_ops_converters
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\dynamo\conversion\aten_ops_converters.py", line 11, in
from torch_tensorrt.dynamo.conversion import impl
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\dynamo\conversion\impl\__init__.py", line 1, in
from torch_tensorrt.fx.converters.impl import convolution
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\fx\converters\impl\convolution.py", line 9, in
from torch_tensorrt.fx.converters.converter_utils import (
ImportError: cannot import name 'SourceIR' from 'torch_tensorrt.fx.converters.converter_utils' (F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\fx\converters\converter_utils.py)
calling python -m pip list
shows:
Package Version
------------------------ ------------------------
annotated-types 0.7.0
antlr4-python3-runtime 4.9.3
beautifulsoup4 4.12.3
blis 0.7.11
Bottleneck 1.3.8
catalogue 2.0.10
certifi 2024.2.2
charset-normalizer 3.3.2
click 8.1.7
cloudpathlib 0.16.0
colorama 0.4.6
confection 0.1.4
contourpy 1.2.1
cupy-cuda11x 13.1.0
cycler 0.12.1
cymem 2.0.8
einops 0.8.0
fastai 1.0.60
fastprogress 1.0.3
fastrlock 0.8.2
filelock 3.14.0
fonttools 4.52.1
fsspec 2024.5.0
huggingface-hub 0.23.1
idna 3.7
imageio 2.34.1
intel-openmp 2021.4.0
Jinja2 3.1.4
kiwisolver 1.4.5
kornia 0.7.2
kornia_rs 0.1.3
langcodes 3.4.0
language_data 1.2.0
lazy_loader 0.4
llvmlite 0.42.0
marisa-trie 1.1.1
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.9.0
mdurl 0.1.2
mkl 2021.4.0
mpmath 1.3.0
murmurhash 1.0.10
networkx 3.3
numba 0.59.1
numexpr 2.10.0
numpy 1.26.4
nvidia-cuda-runtime-cu12 12.5.39
nvidia-ml-py3 7.352.0
omegaconf 2.3.0
opencv-contrib-python 4.9.0.80
opencv-python 4.9.0.80
packaging 24.0
pandas 2.2.2
Pillow 10.1.0
pip 24.0
preshed 3.0.9
pydantic 2.7.1
pydantic_core 2.18.2
Pygments 2.18.0
pyparsing 3.1.2
python-dateutil 2.9.0.post0
pytz 2024.1
PyYAML 6.0.1
requests 2.32.2
rich 13.7.1
safetensors 0.4.3
scikit-image 0.23.2
scipy 1.13.1
setuptools 70.0.0
six 1.16.0
smart-open 6.4.0
soupsieve 2.5
spacy 3.7.4
spacy-legacy 3.0.12
spacy-loggers 1.0.5
srsly 2.4.8
stgpytools 1.0.5
sympy 1.12
tbb 2021.12.0
tensorrt 10.0.1
tensorrt-cu12 10.0.1
tensorrt-cu12_bindings 10.0.1
tensorrt-cu12_libs 10.0.1
thinc 8.2.3
tifffile 2024.5.22
timm 1.0.3
torch 2.4.0.dev20240523+cu121
torch_tensorrt 2.4.0.dev20240518+cu121
torch-tensorrt-fx-only 1.4.0.dev0
torchvision 0.19.0.dev20240525+cu121
tqdm 4.66.4
typer 0.9.4
typing_extensions 4.12.0
tzdata 2024.1
urllib3 2.2.1
VapourSynth 68
vsanimesr 1.0.0
vscodeformer 1.0.1
vsddcolor 1.0.1
vsdeoldify 3.5.3
vsdpir 4.1.0
vsgan 1.6.4
vsgmfss_fortuna 1.0.0
vsgrlir 1.1.1
vshinet 1.0.0
vsrealesrgan 4.0.0
vsrife 5.0.0
vsscunet 1.0.0
vsswinir 2.0.0
vstools 3.1.0
vsutil 0.8.0
wasabi 1.1.2
weasel 0.3.4
wheel 0.43.0
Any idea what I'm missing / doing wrong?
Selur commented
Okay, problem is 'torch-tensorrt-fx-only 1.4.0.dev0', needs to be 2.2 or higher