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Fix Fashion MNIST autoencoder example #439

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Merged
merged 6 commits into from
Jan 16, 2023
Merged

Fix Fashion MNIST autoencoder example #439

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f32047f
Update dependencies in Fashion MNIST autoencoder
nskins Jan 4, 2023
513bc1f
Include placeholder for dynamic batch sizes
nskins Jan 4, 2023
e9abcce
Fix spelling of MNIST in Fashion MNIST autoencoder module name
nskins Jan 4, 2023
197a499
Remove unused alias for Axon.Loop.State
nskins Jan 4, 2023
fb1926e
Update deprecated Nx function: to_batched_list/3 -> to_batched/3
nskins Jan 4, 2023
e4702a9
Grab sample image with a stream-compatible function
nskins Jan 4, 2023
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19 changes: 9 additions & 10 deletions examples/generative/fashionmnist_autoencoder.exs
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Original file line number Diff line number Diff line change
@@ -1,16 +1,15 @@
Mix.install([
{:axon, "~> 0.1.0"},
{:exla, "~> 0.2.2"},
{:nx, "~> 0.2.1"},
{:scidata, "~> 0.1.6"}
{:axon, "~> 0.3.0"},
{:exla, "~> 0.4.1"},
{:nx, "~> 0.4.1"},
{:scidata, "~> 0.1.9"}
])

# Configure default platform with accelerator precedence as tpu > cuda > rocm > host
EXLA.set_as_nx_default([:tpu, :cuda, :rocm, :host])

defmodule Fashionmist do
defmodule FashionMNIST do
require Axon
alias Axon.Loop.State

defmodule Autoencoder do
defp encoder(x, latent_dim) do
Expand All @@ -22,7 +21,7 @@ defmodule Fashionmist do
defp decoder(x) do
x
|> Axon.dense(784, activation: :sigmoid)
|> Axon.reshape({1, 28, 28})
|> Axon.reshape({:batch, 1, 28, 28})
end

def build_model(input_shape, latent_dim) do
Expand All @@ -37,7 +36,7 @@ defmodule Fashionmist do
|> Nx.from_binary(type)
|> Nx.reshape({elem(shape, 0), 1, 28, 28})
|> Nx.divide(255.0)
|> Nx.to_batched_list(32)
|> Nx.to_batched(32)
end

defp train_model(model, train_images, epochs) do
Expand All @@ -58,7 +57,7 @@ defmodule Fashionmist do

sample_image =
train_images
|> hd()
|> Enum.fetch!(0)
|> Nx.slice_along_axis(0, 1)
|> Nx.reshape({1, 1, 28, 28})

Expand All @@ -71,4 +70,4 @@ defmodule Fashionmist do
end
end

Fashionmist.run()
FashionMNIST.run()