Fix incorrect param names in get_testing_overrides (pytorch#87625)

This PR fixes incorrect parameter names for lambda in `get_testing_overrides()`
Pull Request resolved: pytorch#87625
Approved by: https://github.com/kit1980

torch/overrides.py

@@ -416,7 +416,7 @@ def get_testing_overrides() -> Dict[Callable, Callable]:
         torch.concatenate: lambda tensors, dim=0, out=None: -1,  # alias for torch.concatenate
         torch.cdist: lambda x1, x2, p=2.0, compute_mode='use_mm_for_euclid_dist_if_necessary': -1,
         torch.ceil: lambda input, out=None: -1,
-        torch.celu: lambda input, alhpa=1., inplace=False: -1,
+        torch.celu: lambda input, alpha=1., inplace=False: -1,
         torch.chain_matmul: lambda *matrices, out=None: -1,
         torch.channel_shuffle: lambda input, groups : -1,
         torch.cholesky: lambda input, upper=False, out=None: -1,
@@ -572,7 +572,7 @@ def get_testing_overrides() -> Dict[Callable, Callable]:
         torch.grid_sampler_2d: lambda input, grid, interpolation_mode, padding_mode, align_corners: -1,
         torch.grid_sampler_3d: lambda input, grid, interpolation_mode, padding_mode, align_corners: -1,
         torch.group_norm: lambda input, num_groups, weight=None, bias=None, eps=1e-05, cudnn_enabled=True: -1,
-        torch.gru: lambda input, hx, params, has_biases, num_layers, gropout, train, bidirectional, batch_first: -1,
+        torch.gru: lambda input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first: -1,
         torch.gru_cell: lambda input, hx, w_ih, w_hh, b_ih=None, b_hh=None: -1,
         torch.gt: lambda input, other, out=None: -1,
         torch.greater: lambda input, other, out=None: -1,