myron comments

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                                            myron

import cv2 and DistributedDataParallel. (FIND was unable to find an engine)

thank you for the reply, cudnn.benchmark selects the best kernel variant , if we don't use it we may have 20% performance drop. I don't think it's an acceptable long...

import cv2 and DistributedDataParallel. (FIND was unable to find an engine)

I see, very good, thank you guys

get_norm_layer default to affine=True

Looks like it failed a few tests. One of them is the number of parameters for Unet Looks like our Unet implementation has Instancenorm as the default normalization https://github.com/Project-MONAI/MONAI/blob/dev/monai/networks/nets/unet.py#L124 as...

get_norm_layer default to affine=True

Alright, looks like this doesn't have support for legacy reasons, I'm going to close this

Issue with distributed `SyncBatchNorm` in MIL pipeline

I'm not sure what it means

Issue with distributed `SyncBatchNorm` in MIL pipeline

I think it's related to the new MetaTensor somehow, plz see my issue here https://github.com/Project-MONAI/MONAI/issues/5283

[Prototype] 4855 compose with lazy resampling

> Hi Nic. We could indeed assume MetaTensor for everything, and that makes life a lot simpler internally. The main issue I see with that is that people who want...

fixes DiceCELoss for multichannel targets

added check for pytorch version

fixes DiceCELoss for multichannel targets

some checks are failing, but it's something unrelated

updates to Gaussian map for sliding window inference

``` import torch import time from monai.networks.layers import GaussianFilter def old_version(patch_size, approximate=True): sigmas = [1.0, 2.0, 3.0] device = 'cuda:0' center_coords = [i // 2 for i in patch_size] importance_map...