Understanding 3 dimensions of input in nn.LSTM(input, hidden)?

I am facing problem to understand how the first dimension of input in nn.LSTM(input,hidden) is working internaly. I am doing time-series problem, and passing a seq of 10 numbers.
please help me to understand this. i am also sharing the similar link to help you to understand.