From c72cf00ed29e82b2a4d2052148fd771c95034ec8 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Sat, 28 Aug 2021 19:17:21 +0200 Subject: [PATCH] Remove `image_weights` DDP code (#4579) * Initial commit * Update --- train.py | 20 ++++++-------------- 1 file changed, 6 insertions(+), 14 deletions(-) diff --git a/train.py b/train.py index a6c34cbc466c..aaee41a499e4 100644 --- a/train.py +++ b/train.py @@ -265,21 +265,13 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary for epoch in range(start_epoch, epochs): # epoch ------------------------------------------------------------------ model.train() - # Update image weights (optional) + # Update image weights (optional, single-GPU only) if opt.image_weights: - # Generate indices - if RANK in [-1, 0]: - cw = model.class_weights.cpu().numpy() * (1 - maps) ** 2 / nc # class weights - iw = labels_to_image_weights(dataset.labels, nc=nc, class_weights=cw) # image weights - dataset.indices = random.choices(range(dataset.n), weights=iw, k=dataset.n) # rand weighted idx - # Broadcast if DDP - if RANK != -1: - indices = (torch.tensor(dataset.indices) if RANK == 0 else torch.zeros(dataset.n)).int() - dist.broadcast(indices, 0) - if RANK != 0: - dataset.indices = indices.cpu().numpy() - - # Update mosaic border + cw = model.class_weights.cpu().numpy() * (1 - maps) ** 2 / nc # class weights + iw = labels_to_image_weights(dataset.labels, nc=nc, class_weights=cw) # image weights + dataset.indices = random.choices(range(dataset.n), weights=iw, k=dataset.n) # rand weighted idx + + # Update mosaic border (optional) # b = int(random.uniform(0.25 * imgsz, 0.75 * imgsz + gs) // gs * gs) # dataset.mosaic_border = [b - imgsz, -b] # height, width borders