Replace deprecated torch.norm with torch.linalg.norm.

megatron/mpu/grads.py

@@ -112,7 +112,7 @@ def clip_grad_norm(parameters, max_norm, norm_type=2):
         total_norm = 0
         for p in parameters:
             if p.model_parallel or (get_model_parallel_rank() == 0):
-                param_norm = p.grad.data.norm(norm_type)
+                param_norm = torch.linalg.norm(p.grad.data.flatten(), norm_type)
                 total_norm += param_norm.item() ** norm_type
         # Sum across all model parallel GPUs.
         total_norm_cuda = torch.cuda.FloatTensor([float(total_norm)])

megatron/utils.py

@@ -65,7 +65,7 @@ def print_params_min_max_norm(optimizer, iteration):
             index += 1
             min_ = param.data.min()
             max_ = param.data.max()
-            norm = param.data.norm()
+            norm = torch.linalg.norm(param.data)
             string += '{:7d}, {:4d}, {:4d}, {:2d}, '.format(
                 iteration, rank, index, int(param.model_parallel))
             string += '{:.6E}, {:.6E}, {:.6E}\n'.format(min_, max_, norm)