[Not for Commit] Example use of new dim_order api

[digantdesai]

Just for API usage illustration purposes

❯ python -m unittest exir.tests.test_memory_format_ops_pass.TestMemoryFormatOpsPass.test_op_dim_order_propagation

test_op_dim_order_propagation: unambiguous path
node: dim_order_ops__to_dim_order_copy_default, shape: torch.Size([2, 2, 2, 2]), dim_order: (0, 2, 3, 1)
node: aten_add_tensor, shape: torch.Size([2, 2, 2, 2]), dim_order: (0, 2, 3, 1)
node: aten_mul_tensor, shape: torch.Size([2, 2, 2, 2]), dim_order: (0, 2, 3, 1)

test_op_dim_order_propagation: ambiguous path
node: dim_order_ops__to_dim_order_copy_default, shape: torch.Size([2, 1, 2, 2]), 
E
======================================================================
ERROR: test_op_dim_order_propagation (exir.tests.test_memory_format_ops_pass.TestMemoryFormatOpsPass)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "[...]executorch/exir/tests/test_memory_format_ops_pass_utils.py", line 137, in detect_ambiguity
    dim_order = tensor.dim_order(
  File "[...]]/executorch/lib/python3.10/site-packages/torch/_tensor.py", line 1614, in dim_order
    raise RuntimeError(
RuntimeError: The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
...

[pytorch-bot]

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❌ 5 New Failures

As of commit 48726b5 with merge base d01810e ():

NEW FAILURES - The following jobs have failed:

• Check Labels / Check labels (gh)
  RuntimeError: Error checking labels: PR does not have required labels
• Lint / lintrunner / linux-job (gh)
  >>> Lint for exir/tests/test_memory_format_ops_pass_utils.py:
• pull / unittest / linux / linux-job (gh)
  exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_resnet18_xnnpack
• pull / unittest / macos / macos-job (gh)
  exir/tests/test_memory_format_ops_pass.py::TestMemoryFormatOpsPass::test_resnet18_xnnpack
• pull / unittest-arm / linux-job (gh)
  backends/arm/test/ops/test_mm.py::TestMM::test_mm_single_input_tosa_BI_3

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