Carlos Fonseca carlfm01

## onnx_trocr_inference.py
import os
import time
from typing import Optional, Tuple

import torch
from PIL import Image

import onnxruntime as onnxrt
import requests
from transformers import AutoConfig, AutoModelForVision2Seq, TrOCRProcessor, VisionEncoderDecoderModel

## cuda_11.7_installation_on_Ubuntu_22.04
#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

## cuda_10.1_installation_on_Ubuntu_18.04
#!/bin/bash
## This gist contains instructions about cuda v10.1 and cudnn 7.6 installation in Ubuntu 18.04 for Tensorflow 2.1.0

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###
	import os
	import time
	from typing import Optional, Tuple

	import torch
	from PIL import Image

	import onnxruntime as onnxrt
	import requests
	from transformers import AutoConfig, AutoModelForVision2Seq, TrOCRProcessor, VisionEncoderDecoderModel
	#!/bin/bash

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###

	### to verify your gpu is cuda enable check
	#!/bin/bash
	## This gist contains instructions about cuda v10.1 and cudnn 7.6 installation in Ubuntu 18.04 for Tensorflow 2.1.0

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###