We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
tril_indces_from


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `ivy/functional/frontends/jax/numpy/indexing.py`
Content:
```
1 # local
2 import ivy
3 from ivy.functional.frontends.jax.func_wrapper import (
4     to_ivy_arrays_and_back,
5 )
6 
7 
8 @to_ivy_arrays_and_back
9 def diagonal(a, offset=0, axis1=0, axis2=1):
10     return ivy.diagonal(a, offset=offset, axis1=axis1, axis2=axis2)
11 
12 
13 @to_ivy_arrays_and_back
14 def diag(v, k=0):
15     return ivy.diag(v, k=k)
16 
17 
18 @to_ivy_arrays_and_back
19 def diag_indices(n, ndim=2):
20     idx = ivy.arange(n, dtype=int)
21     return (idx,) * ndim
22 
23 
24 # take_along_axis
25 @to_ivy_arrays_and_back
26 def take_along_axis(arr, indices, axis, mode="fill"):
27     return ivy.take_along_axis(arr, indices, axis, mode=mode)
28 
29 
30 @to_ivy_arrays_and_back
31 def tril_indices(n_rows, n_cols=None, k=0):
32     return ivy.tril_indices(n_rows, n_cols, k)
33
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/ivy/functional/frontends/jax/numpy/indexing.py b/ivy/functional/frontends/jax/numpy/indexing.py
--- a/ivy/functional/frontends/jax/numpy/indexing.py
+++ b/ivy/functional/frontends/jax/numpy/indexing.py
@@ -30,3 +30,8 @@
 @to_ivy_arrays_and_back
 def tril_indices(n_rows, n_cols=None, k=0):
     return ivy.tril_indices(n_rows, n_cols, k)
+
+
+@to_ivy_arrays_and_back
+def tril_indices_from(arr, k=0):
+    return ivy.tril_indices(arr.shape[-2], arr.shape[-1], k)

{"golden_diff": "diff --git a/ivy/functional/frontends/jax/numpy/indexing.py b/ivy/functional/frontends/jax/numpy/indexing.py\n--- a/ivy/functional/frontends/jax/numpy/indexing.py\n+++ b/ivy/functional/frontends/jax/numpy/indexing.py\n@@ -30,3 +30,8 @@\n @to_ivy_arrays_and_back\n def tril_indices(n_rows, n_cols=None, k=0):\n     return ivy.tril_indices(n_rows, n_cols, k)\n+\n+\n+@to_ivy_arrays_and_back\n+def tril_indices_from(arr, k=0):\n+    return ivy.tril_indices(arr.shape[-2], arr.shape[-1], k)\n", "issue": "tril_indces_from\n\n", "before_files": [{"content": "# local\nimport ivy\nfrom ivy.functional.frontends.jax.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n@to_ivy_arrays_and_back\ndef diagonal(a, offset=0, axis1=0, axis2=1):\n    return ivy.diagonal(a, offset=offset, axis1=axis1, axis2=axis2)\n\n\n@to_ivy_arrays_and_back\ndef diag(v, k=0):\n    return ivy.diag(v, k=k)\n\n\n@to_ivy_arrays_and_back\ndef diag_indices(n, ndim=2):\n    idx = ivy.arange(n, dtype=int)\n    return (idx,) * ndim\n\n\n# take_along_axis\n@to_ivy_arrays_and_back\ndef take_along_axis(arr, indices, axis, mode=\"fill\"):\n    return ivy.take_along_axis(arr, indices, axis, mode=mode)\n\n\n@to_ivy_arrays_and_back\ndef tril_indices(n_rows, n_cols=None, k=0):\n    return ivy.tril_indices(n_rows, n_cols, k)\n", "path": "ivy/functional/frontends/jax/numpy/indexing.py"}], "after_files": [{"content": "# local\nimport ivy\nfrom ivy.functional.frontends.jax.func_wrapper import (\n    to_ivy_arrays_and_back,\n)\n\n\n@to_ivy_arrays_and_back\ndef diagonal(a, offset=0, axis1=0, axis2=1):\n    return ivy.diagonal(a, offset=offset, axis1=axis1, axis2=axis2)\n\n\n@to_ivy_arrays_and_back\ndef diag(v, k=0):\n    return ivy.diag(v, k=k)\n\n\n@to_ivy_arrays_and_back\ndef diag_indices(n, ndim=2):\n    idx = ivy.arange(n, dtype=int)\n    return (idx,) * ndim\n\n\n# take_along_axis\n@to_ivy_arrays_and_back\ndef take_along_axis(arr, indices, axis, mode=\"fill\"):\n    return ivy.take_along_axis(arr, indices, axis, mode=mode)\n\n\n@to_ivy_arrays_and_back\ndef tril_indices(n_rows, n_cols=None, k=0):\n    return ivy.tril_indices(n_rows, n_cols, k)\n\n\n@to_ivy_arrays_and_back\ndef tril_indices_from(arr, k=0):\n    return ivy.tril_indices(arr.shape[-2], arr.shape[-1], k)\n", "path": "ivy/functional/frontends/jax/numpy/indexing.py"}]}