Continue implementation
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@@ -25,9 +25,9 @@ def get_config():
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train.learning_rate = 1e-4
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train.adam_beta1 = 0.9
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train.adam_beta2 = 0.999
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train.adam_weight_decay = 1e-2
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train.adam_weight_decay = 1e-4
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train.adam_epsilon = 1e-8
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train.gradient_accumulation_steps = 1
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train.gradient_accumulation_steps = 32
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train.max_grad_norm = 1.0
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train.num_inner_epochs = 1
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train.cfg = True
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@@ -36,11 +36,11 @@ def get_config():
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# sampling
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config.sample = sample = ml_collections.ConfigDict()
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sample.num_steps = 5
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sample.num_steps = 30
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sample.eta = 1.0
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sample.guidance_scale = 5.0
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sample.batch_size = 1
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sample.num_batches_per_epoch = 4
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sample.batch_size = 4
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sample.num_batches_per_epoch = 8
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# prompting
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config.prompt_fn = "imagenet_animals"
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@@ -50,7 +50,7 @@ def get_config():
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config.reward_fn = "jpeg_compressibility"
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config.per_prompt_stat_tracking = ml_collections.ConfigDict()
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config.per_prompt_stat_tracking.buffer_size = 128
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config.per_prompt_stat_tracking.buffer_size = 64
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config.per_prompt_stat_tracking.min_count = 16
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return config
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