测试用例修改

原因：
np.allclose(a, b, rtol)使用，计算误差是(a-b)的误差在(atol + rtol*b.abs())以内，但用例中b的值有0，误差就是atol了，atol默认是10的-8.
修改：
把atol根据用例改为传入的误差*10-3.

setup.py

@@ -85,7 +85,7 @@ def get_version_add(sha: Optional[str] = None) -> str:
     lines=[]
     with open(add_version_path, 'r',encoding='utf-8') as file:
         lines = file.readlines()
-    lines[2] = "__dcu_version__ = '2.0.0+{}'\n".format(version)
+    lines[2] = "__dcu_version__ = '2.0.1+{}'\n".format(version)
     with open(add_version_path, encoding="utf-8",mode="w") as file:
         file.writelines(lines)
     file.close()

tests/test_ops/test_deform_conv.py

@@ -75,20 +75,20 @@ class TestDeformconv:
         out.backward(torch.ones_like(out))
 
         assert np.allclose(out.data.detach().cpu().numpy(), repeated_gt_out,
-                           threshold)
+                           threshold, threshold*1e-3)
         assert np.allclose(x.grad.detach().cpu().numpy(), repeated_gt_x_grad,
-                           threshold)
+                           threshold, threshold*1e-3)
         # the batch size of the input is increased which results in
         # a larger gradient so we need to divide by the batch_size
         assert np.allclose(
             model.conv_offset.weight.grad.detach().cpu().numpy() / batch_size,
-            gt_offset_weight_grad, threshold)
+            gt_offset_weight_grad, threshold, threshold*1e-3)
         assert np.allclose(
             model.conv_offset.bias.grad.detach().cpu().numpy() / batch_size,
-            gt_offset_bias_grad, threshold)
+            gt_offset_bias_grad, threshold, threshold*1e-3)
         assert np.allclose(
             model.weight.grad.detach().cpu().numpy() / batch_size,
-            gt_deform_weight_grad, threshold)
+            gt_deform_weight_grad, threshold, threshold*1e-3)
 
         from mmcv.ops import DeformConv2d