Traceback when running mnist example (using plaidml/keras)

• Weights and Biases version: 0.8.15
• Python version: 3.7.4
• Keras version: 2.2.4
• Plaidml version: 0.6.4
• Operating System: Darwin

Description

I’m trying to run the example at https://docs.wandb.com/library/example-projects/keras with the addition of

import os

import plaidml.keras

os.environ["KERAS_BACKEND"] = "plaidml.keras.backend"

before the example code (I need it to use Radeon VII on OSX).

What I Did

Running the code, I get a traceback

Using plaidml.keras.backend backend.
wandb: Tracking run with wandb version 0.8.15
wandb: Run data is saved locally in wandb/run-20191113_204208-mg5eih6v
wandb: Syncing run gallant-jazz-1
wandb: ⭐️ View project at https://app.wandb.ai/lemonad/uncategorized
wandb: 🚀 View run at https://app.wandb.ai/lemonad/uncategorized/runs/mg5eih6v
wandb: Run `wandb off` to turn off syncing.

INFO:plaidml:Opening device "metal_amd_radeon_vii.0"
Train on 60000 samples, validate on 10000 samples
Epoch 1/25
   32/60000 [..............................] - ETA: 24:04 - loss: 2.3314 - acc: 0.0312Traceback (most recent call last):
  File "try_wandb.py", line 67, in <module>
    callbacks=[WandbCallback(data_type="image", labels=labels)])
  File "/Users/lemonad/.local/share/virtualenvs/Deep_Learning_HT19-O0LExEKV/lib/python3.7/site-packages/keras/engine/training.py", line 1039, in fit
    validation_steps=validation_steps)
  File "/Users/lemonad/.local/share/virtualenvs/Deep_Learning_HT19-O0LExEKV/lib/python3.7/site-packages/keras/engine/training_arrays.py", line 204, in fit_loop
    callbacks.on_batch_end(batch_index, batch_logs)
  File "/Users/lemonad/.local/share/virtualenvs/Deep_Learning_HT19-O0LExEKV/lib/python3.7/site-packages/keras/callbacks.py", line 115, in on_batch_end
    callback.on_batch_end(batch, logs)
  File "/Users/lemonad/.local/share/virtualenvs/Deep_Learning_HT19-O0LExEKV/lib/python3.7/site-packages/wandb/keras/__init__.py", line 310, in on_batch_end
    wandb.run.summary['graph'] = wandb.Graph.from_keras(self.model)
  File "/Users/lemonad/.local/share/virtualenvs/Deep_Learning_HT19-O0LExEKV/lib/python3.7/site-packages/wandb/data_types.py", line 961, in from_keras
    inbound_keras_node = Node.from_keras(in_layer)
  File "/Users/lemonad/.local/share/virtualenvs/Deep_Learning_HT19-O0LExEKV/lib/python3.7/site-packages/wandb/data_types.py", line 1128, in from_keras
    node.id = layer.name
AttributeError: 'list' object has no attribute 'name'

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[ariG23498]

Hey @lemonad In the past year we’ve majorly reworked the CLI and UI for Weights & Biases. We’re closing issues older than 6 months. Please comment to reopen.