Delete configs/c_repeating_multilayer_trained1.yaml

configs/c_repeating_multilayer_trained1.yaml

@@ -1,120 +0,0 @@
-general:
-  name: c_repeating_multilayer_trained1
-  root_dir: null
-  
-dset:
-  prior_sampler:
-    cls: SubpriorParametricSampler
-    kwargs:
-      param_ranges:
-          d_full_rel: [0, 25]
-          rel_sigmas: [0, 5]
-          dr_sigmoid_rel_pos: [-10, 10]
-          dr_sigmoid_rel_width: [0, 20]
-          d_block1_rel: [0.01, 0.99]
-          d_block: [10, 20]
-          s_block_rel: [0., 0.3]
-          r_block: [0., 20.] 
-          dr: [-10., 10.]
-          d3_rel: [0, 1] 
-          s3_rel: [0, 1] 
-          r3: [0., 25] 
-          d_sio2: [0, 10] 
-          s_sio2: [0, 10] 
-          s_si: [0., 10] 
-          r_sio2: [17., 19.]
-          r_si: [19., 21.]
-      bound_width_ranges:
-          d_full_rel: [0.1, 25]
-          rel_sigmas: [0.1, 5]
-          dr_sigmoid_rel_pos: [0.1, 20]
-          dr_sigmoid_rel_width: [0.1, 20]
-          d_block1_rel: [0.01, 1.0]
-          d_block: [0.1, 10.]
-          s_block_rel: [0.1, 0.3]
-          r_block: [0.1, 5.]
-          dr: [0.1, 5.]
-          d3_rel: [0.01, 1]
-          s3_rel: [0.01, 1]
-          r3: [0.01, 25]
-          d_sio2: [0.01, 10]
-          s_sio2: [0.01, 10]
-          s_si: [0.01, 10]
-          r_sio2: [0.01, 2]
-          r_si: [0.01, 2]
-      model_name: repeating_multilayer_v3
-      max_num_layers: 30
-      logdist: false
-      scale_params_by_ranges: false
-      scaled_range: [-1., 1.]
-      device: 'cuda'
-      
-  q_generator:
-    cls: ConstantQ
-    kwargs:
-      q: [0.02, 0.5, 256]
-      device: 'cuda'
-      
-  intensity_noise:
-    cls: BasicExpIntensityNoise
-    kwargs:
-      relative_errors: [0.0, 0.2]
-      abs_errors: 0.0
-      consistent_rel_err: true
-      logdist: false
-      apply_shift: true
-      shift_range: [-0.3, 0.3]
-      apply_scaling: true
-      scale_range: [-0.02, 0.02]
-      
-  curves_scaler:
-    cls: LogAffineCurvesScaler
-    kwargs:
-      weight: 0.2
-      bias: 1.0
-      eps: 1.0e-10
-
-model:
-  network:
-    cls: NetworkWithPriorsConvEmb
-    pretrained_name: null
-    device: 'cuda'
-    kwargs:
-      in_channels: 1
-      hidden_channels: [32, 64, 128, 256, 512]
-      dim_embedding: 128
-      dim_avpool: 1
-      embedding_net_activation: 'gelu'
-      use_batch_norm: true
-      dim_out: 17
-      layer_width: 512
-      num_blocks: 6
-      repeats_per_block: 2
-      mlp_activation: 'gelu'
-      dropout_rate: 0.0 
-      pretrained_embedding_net: null
-       
-training:
-  num_iterations: 10000
-  batch_size: 4096
-  lr: 1.0e-4
-  grad_accumulation_steps: 1
-  clip_grad_norm_max: null
-  train_with_q_input: False
-  update_tqdm_freq: 1
-  optimizer: AdamW
-  trainer_kwargs:
-    optim_kwargs:
-      betas: [0.9, 0.999]
-      weight_decay: 0.0005
-  callbacks:
-    save_best_model:
-      enable: true
-      freq: 500
-    lr_scheduler:
-      cls: StepLR
-      kwargs:
-        step_size: 500
-        gamma: 0.5
-  logger:
-    use_neptune: false