Category : multithreading

I am trying to send the requests as per the records in the CSV file and updating a record with a response from the request. temp_file = NamedTemporaryFile(‘w+t’, newline=”, delete=False) with open(file_path, ‘r’) as csv_file, temp_file: csv_reader = csv.reader(csv_file) csv_writer = csv.writer(temp_file) columns = next(csv_reader) csv_writer.writerow(columns) for row in csv_reader: request_body = row[2] response = ..

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I am implementing the ACER architecture, which performs asynchronous parameter update as A3C. Looking at existing PyTorch implementations, I often see the parameter update performed as # Transfers gradients from thread-specific model to shared model def _transfer_grads_to_shared_model(model, shared_model): for param, shared_param in zip(model.parameters(), shared_model.parameters()): if shared_param.grad is not None: return shared_param._grad = param.grad I understand ..

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