Deep Patel
commited on
Suppress ONNX export trace warning (#5437)
Browse filesChecking for `onnx_dynamic` first should suppress the warning:
```log
TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs!
if self.grid[i].shape[2:4] != x[i].shape[2:4] or self.onnx_dynamic
```
- models/yolo.py +1 -1
models/yolo.py
CHANGED
@@ -55,7 +55,7 @@ class Detect(nn.Module):
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x[i] = x[i].view(bs, self.na, self.no, ny, nx).permute(0, 1, 3, 4, 2).contiguous()
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if not self.training: # inference
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-
if self.grid[i].shape[2:4] != x[i].shape[2:4]
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self.grid[i], self.anchor_grid[i] = self._make_grid(nx, ny, i)
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y = x[i].sigmoid()
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x[i] = x[i].view(bs, self.na, self.no, ny, nx).permute(0, 1, 3, 4, 2).contiguous()
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if not self.training: # inference
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+
if self.onnx_dynamic or self.grid[i].shape[2:4] != x[i].shape[2:4]:
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self.grid[i], self.anchor_grid[i] = self._make_grid(nx, ny, i)
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y = x[i].sigmoid()
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