Comments (3)
Hello, glad you like the repo.
I'm not reproducing your error. Can you install other libraries with pip install
? If yes, try asking on SO. Worst case, simply cloning the repository will work, along manually installing requirements (plus TF for full functionality).
from see-rnn.
Hello, glad you like the repo.
I'm not reproducing your error. Can you install other libraries with
pip install
? If yes, try asking on SO. Worst case, simply cloning the repository will work, along manually installing requirements (plus TF for full functionality).
Realised that it's just a minor issue: a parent file named 'see-rnn' is installed, containing 'see_rnn'. Renaming it to 'See_rnn', calling the imports by
import See_rnn.see_rnn as see_rnn
from See_rnn.see_rnn import get_gradients, features_0D, features_1D, features_2D
will do.
Just an additional point: in the Usage example the kwarg xy_ticks
of features_1D should be show_xy_ticks
from see-rnn.
import See_rnn.see_rnn as see_rnn
Never seen this as necessary, but guess it's an option.
xy_ticks of features_1D should be show_xy_ticks
Thanks, fixed.
Issue looks resolved, closing.
from see-rnn.
Related Issues (16)
- Reproducing a stack overflow example HOT 6
- Model comparison, interpretation questions HOT 6
- Naive question HOT 2
- Visualize features in CNN+LSTM HOT 6
- Comparing NN HOT 11
- CNN with embedding HOT 2
- [Query] object has no attribute '_clip_gradients' for TF2.4 HOT 1
- No module named 'tensorflow.python.keras.mixed_precision.experimental' HOT 10
- How to cite your work HOT 1
- ValueError: The last dimension of the inputs to Dense should be defined. Found None HOT 2
- AttributeError: 'ResourceVariable' object has no attribute '_keras_history'
- An idea/suggestion on the gradient used HOT 1
- give visibility to _watch_layer_outputs HOT 1
- Unable to import get_gradients / get_outputs from see_rnn==1.15.1 and 1.15.0 HOT 1
- cannot import name error HOT 4
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from see-rnn.