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Merge branch 'scaled_adam_exp690' into scaled_adam_exp694
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commit
8d75006d69
@ -1403,6 +1403,13 @@ class AttentionSqueeze(nn.Module):
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prob=_aux_grad_prob_out(),
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bias=False, initial_scale=0.05)
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self.out_balancer = ActivationBalancer(
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embed_dim, channel_dim=-1,
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min_positive=0.3, max_positive=0.7,
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min_abs=ScheduledFloat((0.0, 0.002), (8000.0, 0.02), (20000.0, 0.01)),
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)
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def forward(self,
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x: Tensor,
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attn_weights: Tensor):
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@ -1438,6 +1445,7 @@ attn_weights: a Tensor of shape (num_heads, batch_size, seq_len, seq_len)
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x = x * scales
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x = self.activation(x) # Identity only. For diagnostics.
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x = self.out_proj(x)
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x = self.out_balancer(x)
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return x
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@ -1532,7 +1540,7 @@ class NonlinAttentionModule(nn.Module):
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self.balancer2 = ActivationBalancer(
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channels, channel_dim=-1,
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min_positive=0.4, max_positive=0.5,
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min_positive=0.3, max_positive=0.7,
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min_abs=ScheduledFloat((0.0, 0.001), (8000.0, 0.01), (20000.0, 0.005)),
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)
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