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[FutureWarning] Resolving warnings caused by deprecated function usage. #1867

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[FutureWarning] Resolving warnings caused by deprecated function usage. #1867

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6 changes: 3 additions & 3 deletions apex/contrib/cudnn_gbn/batch_norm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,12 +4,12 @@
from torch import Tensor
import peer_memory_cuda as pm
import cudnn_gbn_lib
from torch.cuda.amp import custom_fwd, custom_bwd
from torch.amp import custom_fwd, custom_bwd

class _GroupBatchNorm2d(torch.autograd.Function):

@staticmethod
@custom_fwd
@custom_fwd(device_type='cuda')
def forward(ctx, input, weight, bias, running_mean, running_variance,
minibatch_mean, minibatch_inv_var, momentum, eps, group_size, group_rank, fwd_buffers, bwd_buffers):
ctx.save_for_backward(input, weight, minibatch_mean, minibatch_inv_var)
Expand All @@ -21,7 +21,7 @@ def forward(ctx, input, weight, bias, running_mean, running_variance,
minibatch_mean, minibatch_inv_var, momentum, eps, group_size, group_rank, fwd_buffers)

@staticmethod
@custom_bwd
@custom_bwd(device_type='cuda')
def backward(ctx, grad_output):
x, scale, minibatch_mean, minibatch_inv_var = ctx.saved_variables
eps = ctx.eps
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