Meshgrid indexing='ij' for PyTorch 1.10 (#5309)
* Meshgrid `indexing='ij'` for PyTorch 1.10 Will not merge currently as breaks backwards compatibility. * Meshgrid `indexing='ij'` for PyTorch 1.10 Will not merge currently as breaks backwards compatibility. * Add check_version hard argument * Update comment
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@@ -20,7 +20,7 @@ if str(ROOT) not in sys.path:
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from models.common import *
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from models.experimental import *
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from utils.autoanchor import check_anchor_order
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from utils.general import check_yaml, make_divisible, print_args, set_logging
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from utils.general import check_yaml, make_divisible, print_args, set_logging, check_version
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from utils.plots import feature_visualization
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from utils.torch_utils import copy_attr, fuse_conv_and_bn, initialize_weights, model_info, scale_img, \
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select_device, time_sync
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@@ -74,7 +74,10 @@ class Detect(nn.Module):
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def _make_grid(self, nx=20, ny=20, i=0):
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d = self.anchors[i].device
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yv, xv = torch.meshgrid([torch.arange(ny).to(d), torch.arange(nx).to(d)])
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if check_version(torch.__version__, '1.10.0'): # torch>=1.10.0 meshgrid workaround for torch>=0.7 compatibility
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yv, xv = torch.meshgrid([torch.arange(ny).to(d), torch.arange(nx).to(d)], indexing='ij')
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else:
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yv, xv = torch.meshgrid([torch.arange(ny).to(d), torch.arange(nx).to(d)])
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grid = torch.stack((xv, yv), 2).expand((1, self.na, ny, nx, 2)).float()
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anchor_grid = (self.anchors[i].clone() * self.stride[i]) \
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.view((1, self.na, 1, 1, 2)).expand((1, self.na, ny, nx, 2)).float()
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