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Merge pull request #319 from singh96aman/exafel_push
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Issue #316 - Adding Exafel Workspace
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exook authored Oct 23, 2023
2 parents c08a950 + 8740316 commit 56715dd
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67 changes: 67 additions & 0 deletions workspaces/public_datasets/exafel/config/exafel_config.py
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def set_config(c):
c.input_path = "workspaces/public_datasets/data/exafel_data.npz"
c.compression_ratio = 100
# c.number_of_columns = 24
# c.latent_space_size = 15
c.epochs = 4000
c.early_stopping = False
c.early_stopping_patience = 100
c.min_delta = 0
c.lr_scheduler = True
c.lr_scheduler_patience = 50
# c.model_name = "Conv_AE_GDN"
c.model_name = "CFD_dense_AE"
c.model_type = "dense"
# c.model_type = "convolutional"
c.custom_norm = True
c.l1 = True
c.reg_param = 0.001
c.RHO = 0.05
c.lr = 0.001
c.batch_size = 1
c.test_size = 0
c.data_dimension = 2
c.apply_normalization = False
c.extra_compression = False
c.intermittent_model_saving = False
c.intermittent_saving_patience = 100
c.activation_extraction = False
c.deterministic_algorithm = False
c.compress_to_latent_space = False
c.save_error_bounded_deltas = False
c.error_bounded_requirement = 1
c.convert_to_blocks = False
# c.custom_loss_function = "loss_function_swae"


# def set_config(c):
# c.input_path = "workspaces/CFD_workspace/data/CFDAnimation.npz"
# c.data_dimension = 2
# c.compression_ratio = 2.0
# c.apply_normalization = False
# c.model_name = "CFD_dense_AE"
# c.epochs = 2
# c.lr = 0.001
# c.batch_size = 1
# c.early_stopping = True
# c.lr_scheduler = False

# # === Additional configuration options ===

# c.early_stopping_patience = 100
# c.min_delta = 0
# c.lr_scheduler_patience = 50
# c.custom_norm = True
# c.l1 = True
# c.reg_param = 0.001
# c.RHO = 0.05
# c.test_size = 0
# c.extra_compression = False
# c.intermittent_model_saving = False
# c.intermittent_saving_patience = 100
# c.mse_avg = False
# c.mse_sum = True
# c.emd = False
# c.l1 = True
# c.activation_extraction = False
# c.deterministic_algorithm = False
Original file line number Diff line number Diff line change
Expand Up @@ -31,3 +31,4 @@ def set_config(c):
c.compress_to_latent_space = False
c.save_error_bounded_deltas = False
c.error_bounded_requirement = 1
c.convert_to_blocks = False

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