logdet Pytorch Frontend tensor.py

ivy/functional/frontends/torch/tensor.py

@@ -1020,3 +1020,7 @@ def square(self):
     @with_unsupported_dtypes({"1.11.0 and below": ("float16",)}, "torch")
     def log10(self):
         return torch_frontend.log10(self._ivy_array)
+
+    @with_unsupported_dtypes({"1.11.0 and below": ("float16", "bfloat16")}, "torch")
+    def logdet(self):
+        return torch_frontend.log(torch_frontend.det(self))

ivy_tests/test_ivy/test_frontends/test_torch/test_tensor.py

@@ -7321,3 +7321,34 @@ def test_torch_instance_log10(
         frontend=frontend,
         on_device=on_device,
     )
+
+
+# logdet
+@handle_frontend_method(
+    class_tree=CLASS_TREE,
+    init_tree="torch.tensor",
+    method_name="logdet",
+    dtype_and_x=_get_dtype_and_square_matrix(),
+)
+def test_torch_instance_logdet(
+    dtype_and_x,
+    frontend_method_data,
+    init_flags,
+    method_flags,
+    frontend,
+    on_device,
+):
+    input_dtype, x = dtype_and_x
+    helpers.test_frontend_method(
+        init_input_dtypes=input_dtype,
+        init_all_as_kwargs_np={
+            "data": x,
+        },
+        method_input_dtypes=input_dtype,
+        method_all_as_kwargs_np={},
+        frontend_method_data=frontend_method_data,
+        init_flags=init_flags,
+        method_flags=method_flags,
+        frontend=frontend,
+        on_device=on_device,
+    )