Rename onnx_dynamic -> dynamic (#9168)

export.py

@@ -489,7 +489,7 @@ def run(
     for k, m in model.named_modules():
         if isinstance(m, Detect):
             m.inplace = inplace
-            m.onnx_dynamic = dynamic
+            m.dynamic = dynamic
             m.export = True
 
     for _ in range(2):

models/yolo.py

@@ -37,7 +37,7 @@ except ImportError:
 
 class Detect(nn.Module):
     stride = None  # strides computed during build
-    onnx_dynamic = False  # ONNX export parameter
+    dynamic = False  # force grid reconstruction
     export = False  # export mode
 
     def __init__(self, nc=80, anchors=(), ch=(), inplace=True):  # detection layer
@@ -60,7 +60,7 @@ class Detect(nn.Module):
             x[i] = x[i].view(bs, self.na, self.no, ny, nx).permute(0, 1, 3, 4, 2).contiguous()
 
             if not self.training:  # inference
-                if self.onnx_dynamic or self.grid[i].shape[2:4] != x[i].shape[2:4]:
+                if self.dynamic or self.grid[i].shape[2:4] != x[i].shape[2:4]:
                     self.grid[i], self.anchor_grid[i] = self._make_grid(nx, ny, i)
 
                 y = x[i].sigmoid()