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one last update..

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This commit is contained in:
James Betker 2022-06-11 08:06:29 -06:00
parent 41170f97e9
commit 0dd3883662
1 changed files with 5 additions and 5 deletions
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codes/models/audio/music/transformer_diffusion9.py
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@ -46,7 +46,7 @@ class DietAttentionBlock(TimestepBlock):
self.proj = nn.Linear(in_dim, dim, bias=False)
self.rms_scale_norm = RMSScaleShiftNorm(dim, bias=False)
self.attn = Attention(dim, heads=heads, dim_head=dim//heads, causal=False, dropout=dropout)
self.ff = FeedForward(dim, in_dim, mult=1, dropout=dropout, zero_init_output=True)
self.ff = FeedForward(dim, in_dim, mult=2, dropout=dropout, zero_init_output=True)
def forward(self, x, timestep_emb, rotary_emb):
h = self.proj(x)
@ -320,9 +320,9 @@ def test_quant_model():
clip = torch.randn(2, 256, 400)
cond = torch.randn(2, 256, 400)
ts = torch.LongTensor([600, 600])
model = TransformerDiffusionWithQuantizer(in_channels=256, model_channels=3072, block_channels=1536,
prenet_channels=1024, num_heads=12,
input_vec_dim=1024, num_layers=24, prenet_layers=6)
model = TransformerDiffusionWithQuantizer(in_channels=256, model_channels=2048, block_channels=1024,
prenet_channels=1024, num_heads=8,
input_vec_dim=1024, num_layers=20, prenet_layers=6)
model.get_grad_norm_parameter_groups()
quant_weights = torch.load('D:\\dlas\\experiments\\train_music_quant_r4\\models\\5000_generator.pth')
@ -337,7 +337,7 @@ def test_ar_model():
clip = torch.randn(2, 256, 400)
cond = torch.randn(2, 256, 400)
ts = torch.LongTensor([600, 600])
model = TransformerDiffusionWithARPrior(model_channels=3072, block_channels=1536, prenet_channels=1536,
model = TransformerDiffusionWithARPrior(model_channels=2048, block_channels=1024, prenet_channels=1536,
input_vec_dim=512, num_layers=24, prenet_layers=6, freeze_diff=True,
unconditioned_percentage=.4)
model.get_grad_norm_parameter_groups()