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Ashley Goluoglu commited on
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ca696d0
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1 Parent(s): 37bfccc

changes to work on my computer

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(pipfile.lock with joblib and Agg instead of TkAgg

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  1. Pipfile.lock +0 -0
  2. idnns/__pycache__/__init__.cpython-311.pyc +0 -0
  3. idnns/information/__pycache__/__init__.cpython-311.pyc +0 -0
  4. idnns/information/__pycache__/entropy_estimators.cpython-311.pyc +0 -0
  5. idnns/information/__pycache__/information_process.cpython-311.pyc +0 -0
  6. idnns/information/__pycache__/information_utilities.cpython-311.pyc +0 -0
  7. idnns/information/__pycache__/mutual_info_estimation.cpython-311.pyc +0 -0
  8. idnns/information/__pycache__/mutual_information_calculation.cpython-311.pyc +0 -0
  9. idnns/networks/__pycache__/__init__.cpython-311.pyc +0 -0
  10. idnns/networks/__pycache__/information_network.cpython-311.pyc +0 -0
  11. idnns/networks/__pycache__/model.cpython-311.pyc +0 -0
  12. idnns/networks/__pycache__/models.cpython-311.pyc +0 -0
  13. idnns/networks/__pycache__/network.cpython-311.pyc +0 -0
  14. idnns/networks/__pycache__/network_paramters.cpython-311.pyc +0 -0
  15. idnns/networks/__pycache__/ops.cpython-311.pyc +0 -0
  16. idnns/networks/__pycache__/utils.cpython-311.pyc +0 -0
  17. idnns/plots/__pycache__/__init__.cpython-311.pyc +0 -0
  18. idnns/plots/__pycache__/plot_figures.cpython-311.pyc +0 -0
  19. idnns/plots/__pycache__/utils.cpython-311.pyc +0 -0
  20. idnns/plots/plot_figures.py +2 -1
  21. idnns/plots/plot_gradients.py +2 -1
  22. idnns/plots/utils.py +2 -1
  23. jobs/net_sampleLen=1_nDistSmpls=1_layerSizes=10,7,5,4,3_nEpoch=8000_batch=512_nRepeats=1_nEpochInds=274_LastEpochsInds=7999_DataName=var_u_lr=0.0004/data.pickle +3 -0
Pipfile.lock CHANGED
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idnns/__pycache__/__init__.cpython-311.pyc ADDED
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idnns/information/__pycache__/__init__.cpython-311.pyc ADDED
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idnns/information/__pycache__/entropy_estimators.cpython-311.pyc ADDED
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idnns/information/__pycache__/information_process.cpython-311.pyc ADDED
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idnns/information/__pycache__/information_utilities.cpython-311.pyc ADDED
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idnns/networks/__pycache__/__init__.cpython-311.pyc ADDED
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idnns/networks/__pycache__/information_network.cpython-311.pyc ADDED
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idnns/networks/__pycache__/model.cpython-311.pyc ADDED
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idnns/networks/__pycache__/models.cpython-311.pyc ADDED
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idnns/networks/__pycache__/network.cpython-311.pyc ADDED
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idnns/networks/__pycache__/network_paramters.cpython-311.pyc ADDED
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idnns/networks/__pycache__/ops.cpython-311.pyc ADDED
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idnns/networks/__pycache__/utils.cpython-311.pyc ADDED
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idnns/plots/__pycache__/__init__.cpython-311.pyc ADDED
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idnns/plots/__pycache__/plot_figures.cpython-311.pyc ADDED
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idnns/plots/__pycache__/utils.cpython-311.pyc ADDED
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idnns/plots/plot_figures.py CHANGED
@@ -1,6 +1,7 @@
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  """Plot the networks in the information plane"""
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  import matplotlib
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- matplotlib.use("TkAgg")
 
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  import numpy as np
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  import _pickle as cPickle
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  # import cPickle
 
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  """Plot the networks in the information plane"""
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  import matplotlib
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+ # matplotlib.use("TkAgg")
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+ matplotlib.use("Agg")
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  import numpy as np
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  import _pickle as cPickle
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  # import cPickle
idnns/plots/plot_gradients.py CHANGED
@@ -1,6 +1,7 @@
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  'Calculate and plot the gradients (the mean and std of the mini-batch gradients) of the trained network'
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  import matplotlib
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- matplotlib.use("TkAgg")
 
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  import numpy as np
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  import idnns.plots.utils as plt_ut
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  import matplotlib.pyplot as plt
 
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  'Calculate and plot the gradients (the mean and std of the mini-batch gradients) of the trained network'
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  import matplotlib
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+ # matplotlib.use("TkAgg")
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+ matplotlib.use("Agg")
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  import numpy as np
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  import idnns.plots.utils as plt_ut
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  import matplotlib.pyplot as plt
idnns/plots/utils.py CHANGED
@@ -1,6 +1,7 @@
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  import matplotlib
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- matplotlib.use("TkAgg")
 
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  import scipy.io as sio
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  import matplotlib.pyplot as plt
 
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  import matplotlib
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+ #matplotlib.use("TkAgg")
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+ matplotlib.use("Agg")
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  import scipy.io as sio
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  import matplotlib.pyplot as plt
jobs/net_sampleLen=1_nDistSmpls=1_layerSizes=10,7,5,4,3_nEpoch=8000_batch=512_nRepeats=1_nEpochInds=274_LastEpochsInds=7999_DataName=var_u_lr=0.0004/data.pickle ADDED
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+ oid sha256:acd43faa681305594637d45a682bab3ed2e7f432b0ba820478c68875d3cf01a8
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+ size 201657820