private void dowork()
{
PythonInterop py = null;
Output stdout1 = null;
try
{
WaitHandle[] rgWait = new WaitHandle[] { m_evtCancel, m_evtReady };
while (WaitHandle.WaitAny(rgWait) > 0)
{
m_evtRunning.Set();
Tuple <string, string, string> arg = m_arg;
string strPythonPath = arg.Item1;
string strGpu = arg.Item2;
string strInput = arg.Item3;
string strPy;
KeyValuePair <string, object>[] rgArg;
if (py == null)
{
py = new PythonInterop(strPythonPath);
stdout1 = new Output();
stdout1.OnOutput += stdout_OnOutput;
strPy = "import sys" + Environment.NewLine +
"sys.stdout = sys.stderr = output" + Environment.NewLine +
"res = 1";
rgArg = new KeyValuePair <string, object>[]
{
new KeyValuePair <string, object>("output", stdout1)
};
py.RunPythonCodeAndReturn(strPy, "res", rgArg);
}
strPy = "import os" + Environment.NewLine +
"os.environ['CUDA_VISIBLE_DEVICES'] = strGpu" + Environment.NewLine +
"from transformers import pipeline" + Environment.NewLine +
"generator = pipeline(task = 'text-generation', max_length=500)" + Environment.NewLine +
"res = generator(strInput)";
rgArg = new KeyValuePair <string, object>[]
{
new KeyValuePair <string, object>("strGpu", strGpu),
new KeyValuePair <string, object>("strInput", strInput)
};
Invoke(new fnOutput(output), "Running GPT2 transformer from https://huggingface.co...");
object obj = py.RunPythonCodeAndReturn(strPy, "res", rgArg);
Invoke(new fnOutput(output), "-----------------------------");
string strResult = "";
object[] rgRes = obj as object[];
if (rgRes != null)
{
foreach (object obj1 in rgRes)
{
string strJson = obj1.ToString();
strResult += strJson;
strResult += Environment.NewLine;
}
}
else
{
string strJson = obj.ToString();
strResult = strJson;
}
Invoke(new fnOutput(output), "RESULT:" + Environment.NewLine + strResult);
m_evtRunning.Reset();
}
}
catch (Exception excpt)
{
Invoke(new fnOutput(output), "ERROR: " + excpt.Message);
}
finally
{
m_evtRunning.Reset();
if (py != null)
{
py.Dispose();
py = null;
}
m_evtDone.Set();
}
}
