Add moveaxis to torch frontend 2 (ivy-llc#12927)

Co-authored-by: WilliamHirst bod_holthe@outlook.com
Giac3 · Mar 24, 2023 · 8622e00 · 8622e00
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diff --git a/ivy/functional/frontends/torch/indexing_slicing_joining_mutating_ops.py b/ivy/functional/frontends/torch/indexing_slicing_joining_mutating_ops.py
@@ -161,6 +161,11 @@ def movedim(input, source, destination):
     return ivy.moveaxis(input, source, destination)
 
 
+@to_ivy_arrays_and_back
+def moveaxis(input, source, destination):
+    return ivy.moveaxis(input, source, destination)
+
+
 @to_ivy_arrays_and_back
 def hstack(tensors, *, out=None):
     return ivy.hstack(tensors, out=out)

diff --git a/ivy_tests/test_ivy/test_frontends/test_torch/test_indexing_slicing_joining_mutating_ops.py b/ivy_tests/test_ivy/test_frontends/test_torch/test_indexing_slicing_joining_mutating_ops.py
@@ -704,6 +704,78 @@ def test_torch_movedim(
     )
 
 
+# moveaxis
+@handle_frontend_test(
+    fn_tree="torch.moveaxis",
+    dtype_and_input=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        min_value=-100,
+        max_value=100,
+        shape=st.shared(
+            helpers.get_shape(
+                min_num_dims=1,
+                max_num_dims=3,
+                min_dim_size=1,
+                max_dim_size=3,
+            ),
+            key="a_s_d",
+        ),
+    ),
+    source=helpers.get_axis(
+        allow_none=False,
+        unique=True,
+        shape=st.shared(
+            helpers.get_shape(
+                min_num_dims=1,
+                max_num_dims=3,
+                min_dim_size=1,
+                max_dim_size=3,
+            ),
+            key="a_s_d",
+        ),
+        min_size=1,
+        force_int=True,
+    ),
+    destination=helpers.get_axis(
+        allow_none=False,
+        unique=True,
+        shape=st.shared(
+            helpers.get_shape(
+                min_num_dims=1,
+                max_num_dims=3,
+                min_dim_size=1,
+                max_dim_size=3,
+            ),
+            key="a_s_d",
+        ),
+        min_size=1,
+        force_int=True,
+    ),
+    test_with_out=st.just(False),
+)
+def test_torch_moveaxis(
+    *,
+    dtype_and_input,
+    source,
+    destination,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+):
+    input_dtype, value = dtype_and_input
+    helpers.test_frontend_function(
+        input_dtypes=input_dtype,
+        frontend=frontend,
+        test_flags=test_flags,
+        fn_tree=fn_tree,
+        on_device=on_device,
+        input=value[0],
+        source=source,
+        destination=destination,
+    )
+
+
 # hstack
 @handle_frontend_test(
     fn_tree="torch.hstack",