fix: Fixed passing key-word arguments in 2 functions (ivy-llc#27300)

imsoumya18 · Nov 20, 2023 · 9eaa54a · 9eaa54a
1 parent f944f05
commit 9eaa54a
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Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/ivy/functional/backends/torch/layers.py b/ivy/functional/backends/torch/layers.py
@@ -526,7 +526,7 @@ def depthwise_conv2d(
     dilations = [dilations] * 2 if isinstance(dilations, int) else dilations
     if data_format == "NHWC":
         x = x.permute(0, 3, 1, 2)
-    filters = ivy.squeeze(filters, 3).to_native() if filters.ndim == 4 else filters
+    filters = ivy.squeeze(filters, axis=3).to_native() if filters.ndim == 4 else filters
     filters = torch.unsqueeze(filters, -1)
     dims_in = filters.shape[-2]
     filters = filters.permute(2, 3, 0, 1)

diff --git a/ivy/functional/frontends/jax/numpy/statistical.py b/ivy/functional/frontends/jax/numpy/statistical.py
@@ -495,7 +495,7 @@ def _nanquantile_unchecked(
     ):
         """Assumes that q is in [0, 1], and is an ndarray."""
         if a.size == 0:
-            return ivy.nanmean(a, axis, out=out, keepdims=keepdims)
+            return ivy.nanmean(a, axis=axis, out=out, keepdims=keepdims)
         return _ureduce(
             a,
             func=_nanquantile_ureduce_func,