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import sys
import os
import traceback
import torch
import torchaudio
import requests
import torch.backends._nnapi.prepare
import torch.utils.bundled_inputs
import torch.utils.mobile_optimizer
import numpy as np

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import onnx
import onnxruntime as ort
import numpy as np
from onnx import numpy_helper

new_onnx_file_path='./model.onnx'
ort_sess = ort.InferenceSession(new_onnx_file_path)
input_ids_ts=onnx.TensorProto()
input_ids_ts.ParseFromString(open('test_data_set_0\input_0.pb','rb').read())
input_ids = numpy_helper.to_array(input_ids_ts)

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import sys
import os
import traceback
import torch
import torch.utils.bundled_inputs
import torch.utils.mobile_optimizer
import torch.backends._nnapi.prepare
import torchvision.models.quantization.mobilenet
from pathlib import Path

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from azure.keyvault.secrets import SecretClient
from azure.identity import ClientSecretCredential, DefaultAzureCredential, ManagedIdentityCredential

 identity = DefaultAzureCredential(managed_identity_client_id='CLIENT_ID')
 client = SecretClient("https://MY_VAULT.vault.azure.net", identity)
 r = client.get_secret('MY_SECRET')

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cd gnirehtet
start /B gnirehtet-run.cmd
cd ..

cd scrcpy-win64-v1.23
start /B scrcpy-console.bat -S -m 1024
cd ..

cd sndcpy-v1.1
start /B sndcpy.bat

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# Documentation: https://circleci.com/docs/api/v2/

import os
import sys
import time
import re
import shutil
import tempfile

import requests

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#include <string>
#include <algorithm>
#include <iostream>

template<typename Result, typename Functor>
struct functor_storage : Functor
{
  functor_storage() = default;
  functor_storage(const Functor& functor)
    : Functor(functor)

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simple_engine
nn_c_port
jit_frontend
tmp_enable_scalars
merge_variable_tensor
cpp
ext_test_fix
win_py2.7
docker/rocm-1.8.2
always_scriptmodule

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CD $Env:Temp;
Invoke-WebRequest -Uri "https://www.python.org/ftp/python/3.7.9/python-3.7.9-amd64.exe" -OutFile "python-3.7.9-amd64.exe"
.\python-3.7.9-amd64.exe /quiet PrependPath=1 InstallAllUsers=1 TargetDir="C:\Python" Include_test=0;
Start-Sleep 60;

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import os, mimetypes, sys, uuid
from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, ContentSettings

connect_str = "CONNECTION_STRING"

blob_service_client = BlobServiceClient.from_connection_string(connect_str)


def upload_file(f):
    container_name = "CONTAINER"