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[DO NOT MERGE] paddle-test fusion kernel adaption code draft #1

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[DO NOT MERGE] paddle-test fusion kernel adaption code draft #1

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7 changes: 5 additions & 2 deletions ppdet/modeling/initializer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -292,8 +292,9 @@ def resnet_unit_init_(module):
print("conv in resnet_unit has bias !!")

def yolo_unit_conv_init_(module):
bound = 1 / np.sqrt(np.prod(module.filter.shape[1:]))
uniform_(module.filter, -bound, bound)
if hasattr(module, "filter"):
bound = 1 / np.sqrt(np.prod(module.filter.shape[1:]))
uniform_(module.filter, -bound, bound)
if module.conv_bias:
print("conv in yolo_unit has bias !!")

Expand Down Expand Up @@ -353,6 +354,8 @@ def reset_initialized_parameter(model, include_self=True):

elif isinstance(m, YoloUnit):
## reset conv
if not hasattr(m, '_groups'):
return
k = float(m._groups) / (m.filter.shape[1] * m._kernel_size[0] *
m._kernel_size[1])
k = math.sqrt(k)
Expand Down