Init refactor branch
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@@ -34,10 +34,10 @@ TrainConfigGTAUAV.label_smoothing = 0.1
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TrainConfigGTAUAV.learnable_temperature = True
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TrainConfigGTAUAV.weight_q2g = 0.6
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TrainConfigGTAUAV.weight_g2q = 0.4
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TrainConfigGTAUAV.neg_bank_size = 4096
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TrainConfigGTAUAV.neg_bank_size = 0 # 4096
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# ---- Sampling ----
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TrainConfigGTAUAV.sampler_type = "dss" # "dss" or "mutex"
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TrainConfigGTAUAV.sampler_type = "mutex" # "dss" or "mutex"
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TrainConfigGTAUAV.dss_warmup_epochs = 1 # first N epochs use mutex-only (untrained embeds not useful)
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TrainConfigGTAUAV.dss_reembed_every = 1
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TrainConfigGTAUAV.use_mutex_sampler = True # legacy flag, kept True unless disabling both samplers
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@@ -48,7 +48,7 @@ TrainConfigGTAUAV.output_dir = "out/gtauav/with_text"
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# ---- Tracking ----
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TrainConfigGTAUAV.use_wandb = False
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TrainConfigGTAUAV.use_tb = True
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TrainConfigGTAUAV.use_gradcam = True
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TrainConfigGTAUAV.use_gradcam = False
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TrainConfigGTAUAV.gradcam_every = 5
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TrainConfigGTAUAV.use_profiler = False
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TrainConfigGTAUAV.log_grad_norms = True
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@@ -61,4 +61,4 @@ InfoNCELoss.weight_q2g = 0.6
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InfoNCELoss.weight_g2q = 0.4
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InfoNCELoss.tau_min = 0.01
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InfoNCELoss.tau_max = 0.1
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InfoNCELoss.hard_mining_k = 512 # 0 = use whole queue (disable mining)
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InfoNCELoss.hard_mining_k = 0 # 512 # 0 = use whole queue (disable mining)
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