Skip to content

Fix text generator example #441

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
Jan 7, 2023
Merged

Fix text generator example #441

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
ff6e845
Update dependencies to latest versions
nskins Jan 6, 2023
02c4097
The output sequence is now the first element of the return value of A…
nskins Jan 6, 2023
22c82d5
Update deprecated Nx function: to_batched_list/3 -> to_batched/3
nskins Jan 6, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions examples/generative/text_generator.exs
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
# Based on https://machinelearningmastery.com/text-generation-lstm-recurrent-neural-networks-python-keras/
Mix.install([
{:axon, github: "elixir-nx/axon"},
{:nx, "~> 0.2.1"},
{:exla, "~> 0.2.2"},
{:req, "~> 0.3.0"}
{:axon, "~> 0.3.0"},
{:nx, "~> 0.4.1"},
{:exla, "~> 0.4.1"},
{:req, "~> 0.3.3"}
])

EXLA.set_as_nx_default([:tpu, :cuda, :rocm, :host])
Expand All @@ -18,7 +18,7 @@ defmodule TextGenerator do
def build_model(characters_count) do
Axon.input("input_chars", shape: {nil, @sequence_length, 1})
|> Axon.lstm(256)
|> then(fn {_, out} -> out end)
|> then(fn {out, _} -> out end)
|> Axon.nx(fn t -> t[[0..-1//1, -1]] end)
|> Axon.dropout(rate: 0.2)
|> Axon.dense(characters_count, activation: :softmax)
Expand Down Expand Up @@ -59,7 +59,7 @@ defmodule TextGenerator do
|> Nx.tensor()
|> Nx.divide(characters_count)
|> Nx.reshape({:auto, @sequence_length, 1})
|> Nx.to_batched_list(@batch_size)
|> Nx.to_batched(@batch_size)

train_labels =
text
Expand All @@ -68,7 +68,7 @@ defmodule TextGenerator do
|> Nx.tensor()
|> Nx.reshape({:auto, 1})
|> Nx.equal(Nx.iota({characters_count}))
|> Nx.to_batched_list(@batch_size)
|> Nx.to_batched(@batch_size)

{train_data, train_labels}
end
Expand Down