Manas Ranjan Kar manasRK

This is necessitated by the open Issue: pytorch/pytorch#1591

First, the usual pack_padded_sequence and pad_packed_sequence for handling variable length sequences;

seq_len, bsz, n_dims = feats.size()
packed_input = pack_padded_sequence(feats, lengths, batch_first=False)
packed_output, self.hidden = self.lstm(packed_input, self.hidden)
# lstm_out --> seqlen X bsz X hidden_dim
lstm_out, output_lengths = pad_packed_sequence(packed_output, batch_first = False)

Installing Homebrew and Anaconda on a Mac

Install Homebrew

Run the following command on your terminal to install Homebrew. Homebrew is a package manager for Macs and is used to install useful development tools and software.

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

Install Anaconda through Homebrew

Run brew install --cask anaconda to install Anaconda

	import torch
	import torch.nn as nn
	from torch.autograd import Variable
	from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence

	x = Variable(torch.randn(10, 20, 30)).cuda()
	lens = range(10)

	x = pack_padded_sequence(x, lens[::-1], batch_first=True)

	def _sequence_mask(sequence_length, max_len=None):
	if max_len is None:
	max_len = sequence_length.data.max()
	batch_size = sequence_length.size(0)
	seq_range = torch.range(0, max_len - 1).long()
	seq_range_expand = seq_range.unsqueeze(0).expand(batch_size, max_len)
	seq_range_expand = Variable(seq_range_expand)
	if sequence_length.is_cuda:
	seq_range_expand = seq_range_expand.cuda()
	seq_length_expand = (sequence_length.unsqueeze(1)