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Fix multiple bugs in distributed utils, SpatialTransformer, and diffusion schedules #162

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Fix multiple bugs in distributed utils, SpatialTransformer, and diffusion schedules #162

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2 changes: 1 addition & 1 deletion tools/modules/diffusions/schedules.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ def sigma_schedule(schedule='cosine',
def linear_schedule(num_timesteps, init_beta, last_beta, **kwargs):
scale = 1000.0 / num_timesteps
init_beta = init_beta or scale * 0.0001
ast_beta = last_beta or scale * 0.02
last_beta = last_beta or scale * 0.02
return torch.linspace(init_beta, last_beta, num_timesteps, dtype=torch.float64)

def logsnr_cosine_interp_schedule(
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2 changes: 1 addition & 1 deletion tools/modules/unet/util.py
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Expand Up @@ -348,7 +348,7 @@ def __init__(self, in_channels, n_heads, d_head,
stride=1,
padding=0))
else:
self.proj_out = zero_module(nn.Linear(in_channels, inner_dim))
self.proj_out = zero_module(nn.Linear(inner_dim, in_channels))
self.use_linear = use_linear

def forward(self, x, context=None):
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6 changes: 3 additions & 3 deletions utils/distributed.py
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Expand Up @@ -128,7 +128,7 @@ def reduce_dict(input_dict, group=None, reduction='mean', **kwargs):

# ensure that the orders of keys are consistent across processes
if isinstance(input_dict, OrderedDict):
keys = list(input_dict.keys)
keys = list(input_dict.keys())
else:
keys = sorted(input_dict.keys())
vals = [input_dict[key] for key in keys]
Expand Down Expand Up @@ -337,9 +337,9 @@ def symbolic(graph, input):
return _split(input)

@staticmethod
def symbolic(ctx, input):
def forward(ctx, input):
return _split(input)

@staticmethod
def backward(ctx, grad_output):
return _all_gather(grad_output)
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