polmiro
Machine Learning in Elixir: Error in Chapter 9, identifying cats and dogs again
the code provided I am running into an error when training the first model that uses transfer learning with ONNX model mobilenetv2-7. I am a bit stuck here, not really sure what may be wrong.
warning: Axon.Optimizers.adam/1 is deprecated. Use Polaris.Optimizers.adam/1 instead
machine-learning-in-elixir-src/StopReinventingTheWheel.livemd#cell:s4yqqx5n4j6oyja2b2c57iqes4fvcbny:2
12:22:35.339 [warning] found unexpected key in the initial parameters map: "mobilenetv20_output_pred_fwd"
Epoch: 0, Batch: 700, accuracy: 0.7747430 loss: 0.4431267
Batch: 6, accuracy: 0.9151786 loss: 0.1636844
** (ArgumentError) argument at position 1 is not compatible with compiled function template.
{
<<<<< Expected <<<<<
#Nx.Tensor<
f32[32][channels: 3][height: 160][width: 160]
>
==========
#Nx.Tensor<
f32[26][channels: 3][height: 160][width: 160]
>
>>>>> Argument >>>>>
,
<<<<< Expected <<<<<
#Nx.Tensor<
s64[32][1]
>
==========
#Nx.Tensor<
s64[26][1]
>
>>>>> Argument >>>>>
}
(nx 0.6.2) lib/nx/defn.ex:323: anonymous fn/7 in Nx.Defn.compile_flatten/5
(elixir 1.15.2) lib/enum.ex:1819: Enum."-map_reduce/3-lists^mapfoldl/2-0-"/3
(nx 0.6.2) lib/nx/lazy_container.ex:61: Nx.LazyContainer.Tuple.traverse/3
(nx 0.6.2) lib/nx/defn.ex:320: Nx.Defn.compile_flatten/5
(nx 0.6.2) lib/nx/defn.ex:312: anonymous fn/4 in Nx.Defn.compile/3
(stdlib 5.0.2) timer.erl:270: :timer.tc/2
(axon 0.6.0) lib/axon/loop.ex:1805: anonymous fn/4 in Axon.Loop.run_epoch/5
/data/machine-learning-in-elixir-src/StopReinventingTheWheel.livemd#cell:s4yqqx5n4j6oyja2b2c57iqes4fvcbny:10: (file)
Marked As Solved
joshprintsimple
The length of the val_paths has to be divisible by the batch number so that the tensors come out the right shape.
You can just add this line
val_paths = Enum.take(val_paths, 224)
after setting the val_paths. I also removed the Enum.take line at the end because the length of the train_paths is 24000 and that is also divisible by a batch size of 32.
so that cell would look like this now:
{test_paths, train_paths} =
Path.wildcard("train/*.jpg")
|> Enum.shuffle()
|> Enum.split(1000)
{test_paths, val_paths} = test_paths |> Enum.split(750)
val_paths = Enum.take(val_paths, 224)
batch_size = 32
target_height = 160
target_width = 160
train_pipeline =
CatsAndDogs.pipeline_with_augmentations(
train_paths,
batch_size,
target_height,
target_width
)
val_pipeline =
CatsAndDogs.pipeline(
val_paths,
batch_size,
target_height,
target_width
)
test_pipeline =
CatsAndDogs.pipeline(
test_paths,
batch_size,
target_height,
target_width
)
# Enum.take(train_pipeline, 1)
1
Popular Pragmatic Bookshelf topics
Python Testing With Pytest - Chapter 2, warnings for “unregistered custom marks”
While running the smoke tests in Chapter 2, I get these...
New
Hi Travis! Thank you for the cool book! :slight_smile:
I made a list of issues and thought I could post them chapter by chapter. I’m rev...
New
This isn’t directly about the book contents so maybe not the right forum…but in some of the code apps (e.g. turbo/06) it sends a TURBO_ST...
New
In case this helps anyone, I’ve had issues setting up the rails source code. Here were the solutions:
In Gemfile, change
gem 'rails'
t...
New
A Common-Sense Guide to Data Structures and Algorithms, Second Edition by Jay Wengrow @jaywengrow
Hi,
I have the paperback version of t...
New
@noelrappin
Running the webpack dev server, I receive the following warning:
ERROR in tsconfig.json
TS18003: No inputs were found in c...
New
Hi, I have just acquired Michael Fazio’s “Kotlin and Android Development” to learn about game programming for Android. I have a game in p...
New
The markup used to display the uploaded image results in a Phoenix.LiveView.HTMLTokenizer.ParseError error.
lib/pento_web/live/product_l...
New
Hi,
I am getting an error I cannot figure out on my test.
I have what I think is the exact code from the book, other than I changed “us...
New
Skimming ahead, much of the following is explained in Chapter 3, but new readers (like me!) will hit a roadblock in Chapter 2 with their ...
New
Other popular topics
Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more e...
New
New
I am thinking in building or buy a desktop computer for programing, both professionally and on my free time, and my choice of OS is Linux...
New
You might be thinking we should just ask who’s not using VSCode :joy: however there are some new additions in the space that might give V...
New
New
Just done a fresh install of macOS Big Sur and on installing Erlang I am getting:
asdf install erlang 23.1.2
Configure failed.
checking ...
New
Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or...
New
Author Spotlight
Mike Riley
@mriley
This month, we turn the spotlight on Mike Riley, author of Portable Python Projects. Mike’s book ...
New
Author Spotlight
Erin Dees
@undees
Welcome to our new author spotlight! We had the pleasure of chatting with Erin Dees, co-author of ...
New
Get the comprehensive, insider information you need for Rails 8 with the new edition of this award-winning classic.
Sam Ruby @rubys
...
New
Categories:
Sub Categories:
Popular Portals
- /elixir
- /rust
- /wasm
- /ruby
- /erlang
- /phoenix
- /keyboards
- /python
- /js
- /rails
- /security
- /go
- /swift
- /vim
- /clojure
- /java
- /emacs
- /haskell
- /typescript
- /svelte
- /onivim
- /kotlin
- /c-plus-plus
- /crystal
- /tailwind
- /react
- /gleam
- /ocaml
- /flutter
- /vscode
- /elm
- /ash
- /html
- /deepseek
- /opensuse
- /zig
- /centos
- /php
- /scala
- /react-native
- /lisp
- /sublime-text
- /textmate
- /nixos
- /debian
- /agda
- /deno
- /django
- /kubuntu
- /arch-linux
- /nodejs
- /ubuntu
- /spring
- /revery
- /manjaro
- /julia
- /lua
- /diversity
- /laravel
- /markdown









