From dbdee3a4a3537835c0f869b99fa5a8f690a9ab32 Mon Sep 17 00:00:00 2001
From: Glenn Jocher <glenn.jocher@ultralytics.com>
Date: Thu, 4 Jun 2020 15:23:03 -0700
Subject: [PATCH] multi-gpu test bug fix #15

---
 detect.py      | 2 +-
 models/yolo.py | 4 ++--
 test.py        | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/detect.py b/detect.py
index 82f2da502f48..a698429bc4e2 100644
--- a/detect.py
+++ b/detect.py
@@ -51,7 +51,7 @@ def detect(save_img=False):
         dataset = LoadImages(source, img_size=imgsz)
 
     # Get names and colors
-    names = model.module.names if hasattr(model, 'module') else model.names
+    names = model.names if hasattr(model, 'names') else model.modules.names
     colors = [[random.randint(0, 255) for _ in range(3)] for _ in range(len(names))]
 
     # Run inference
diff --git a/models/yolo.py b/models/yolo.py
index 0457db6903d2..7f16ba9c9ad9 100644
--- a/models/yolo.py
+++ b/models/yolo.py
@@ -27,11 +27,11 @@ def forward(self, x):
             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.grid[i].shape[2:4] != x[i].shape[2:4]) | (self.grid[i].device != x[i].device):
+                if self.grid[i].shape[2:4] != x[i].shape[2:4]:
                     self.grid[i] = self._make_grid(nx, ny).to(x[i].device)
 
                 y = x[i].sigmoid()
-                y[..., 0:2] = (y[..., 0:2] * 2. - 0.5 + self.grid[i]) * self.stride[i]  # xy
+                y[..., 0:2] = (y[..., 0:2] * 2. - 0.5 + self.grid[i].to(x[i].device)) * self.stride[i]  # xy
                 y[..., 2:4] = (y[..., 2:4] * 2) ** 2 * self.anchor_grid[i]  # wh
                 z.append(y.view(bs, -1, self.no))
 
diff --git a/test.py b/test.py
index 2103eee787e6..7dde08a6dbc0 100644
--- a/test.py
+++ b/test.py
@@ -75,7 +75,7 @@ def test(data,
     seen = 0
     model.eval()
     _ = model(torch.zeros((1, 3, imgsz, imgsz), device=device)) if device.type != 'cpu' else None  # run once
-    names = model.module.names if hasattr(model, 'module') else model.names
+    names = model.names if hasattr(model, 'names') else model.module.names
     coco91class = coco80_to_coco91_class()
     s = ('%20s' + '%12s' * 6) % ('Class', 'Images', 'Targets', 'P', 'R', 'mAP@.5', 'mAP@.5:.95')
     p, r, f1, mp, mr, map50, map, t0, t1 = 0., 0., 0., 0., 0., 0., 0., 0., 0.