ttnn.where cannot handle 0-D tensors

[jdh8]

Describe the bug
The following cases do not compile because their last argument is a 0-D tensor.
https://github.com/tenstorrent/pytorch2.0_ttnn/blob/7ee612585811e6f6d6718f9f13a1ec4376ab1ce9/torch_ttnn/passes/lowering/to_tt_guard_autogen.py#L108-L115

To Reproduce
Steps to reproduce the behavior:

1. Go to Test ttnn.where with concerned cases pytorch2.0_ttnn#662
2. Temporarily empty the blocklist of aten.where.self

diff --git a/torch_ttnn/passes/lowering/to_tt_guard_autogen.py b/torch_ttnn/passes/lowering/to_tt_guard_autogen.py
index e2f6dd8b..3db9c13e 100644
--- a/torch_ttnn/passes/lowering/to_tt_guard_autogen.py
+++ b/torch_ttnn/passes/lowering/to_tt_guard_autogen.py
@@ -106,12 +106,6 @@ aten_native_layer_norm_default_blocklist = [
 ]
 aten_exp_default_blocklist = [["Tensor<[0, 1]> self = ?"], ["Tensor<[]> self = ?"]]
 aten_where_self_blocklist = [
-    ["Tensor<[1, 1, 7, 7]> condition = ?", "Tensor<[1, 12, 7, 7]> self = ?", "Tensor<[]> other = ?"],
-    ["Tensor<[1, 1, 45, 45]> condition = ?", "Tensor<[1, 12, 45, 45]> self = ?", "Tensor<[]> other = ?"],
-    ["Tensor<[1, 1, 1, 46]> condition = ?", "Tensor<[1, 12, 1, 46]> self = ?", "Tensor<[]> other = ?"],
-    ["Tensor<[1, 1, 5, 5]> condition = ?", "Tensor<[1, 16, 5, 5]> self = ?", "Tensor<[]> other = ?"],
-    ["Tensor<[1, 1, 1, 6]> condition = ?", "Tensor<[1, 16, 1, 6]> self = ?", "Tensor<[]> other = ?"],
-    ["Tensor<[1, 1, 256]> condition = ?", "Tensor<[1, 1, 256]> self = ?", "Tensor<[]> other = ?"],
 ]
 aten_empty_memory_format_blocklist = [
     [

3. See error for each failing test case

Always | FATAL    | Index is out of bounds for the rank, should be between 0 and -1 however is 0

Expected behavior
Correct calculation just like dealing with Tensor<[1]>

Please complete the following environment information:

• OS: Ubuntu 20.04
• Version of software: 2edaca7

Additional context
This issue is possibly a duplicate of #15630. All elementwise ops share this problem.