diff --git a/mindspore/nn/layer/conv.py b/mindspore/nn/layer/conv.py index fd3039a348..e02908aed3 100644 --- a/mindspore/nn/layer/conv.py +++ b/mindspore/nn/layer/conv.py @@ -274,7 +274,7 @@ class Conv2dTranspose(_Conv): be greater or equal to 1 and bounded by the height and width of the input. Default: 1. group (int): Split filter into groups, `in_channels` and `out_channels` should be - divisible by the number of groups. Default: 1. + divisible by the number of groups. This is not support for Davinci devices when group > 1. Default: 1. has_bias (bool): Specifies whether the layer uses a bias vector. Default: False. weight_init (Union[Tensor, str, Initializer, numbers.Number]): Initializer for the convolution kernel. It can be a Tensor, a string, an Initializer or a numbers.Number. When a string is specified,