feat: add t function, issue 10474 (ivy-llc#10588)

Co-authored-by: Fotios Spyridakos <[email protected]>

ivy/functional/frontends/torch/indexing_slicing_joining_mutating_ops.py

@@ -126,6 +126,19 @@ def transpose(input, dim0, dim1):
     return ivy.swapaxes(input, dim0, dim1)
 
 
+@to_ivy_arrays_and_back
+def t(input):
+    if input.ndim > 2:
+        raise ivy.exceptions.IvyException(
+            "t(input) expects a tensor with <= 2 dimensions, but self is %dD"
+            % input.ndim
+        )
+    if input.ndim == 2:
+        return ivy.swapaxes(input, 0, 1)
+    else:
+        return input
+
+
 @to_ivy_arrays_and_back
 def tile(input, dims):
     try:

ivy_tests/test_ivy/test_frontends/test_torch/test_indexing_slicing_joining_mutating_ops.py

@@ -445,6 +445,31 @@ def test_torch_transpose(
         dim1=dim1,
     )
 
+# t
+@handle_frontend_test(
+    fn_tree="torch.t",
+    dtype_and_values=helpers.dtype_and_values(
+        available_dtypes=helpers.get_dtypes("float"),
+        shape=st.shared(helpers.get_shape(max_num_dims=2), key="shape"),
+    ),
+)
+def test_torch_t(
+    *,
+    dtype_and_values,
+    on_device,
+    fn_tree,
+    frontend,
+    test_flags,
+):
+    input_dtype, value = dtype_and_values
+    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],
+    )
 
 # squeeze
 @handle_frontend_test(