Enabled torch compile on _compute_affine_output_size

[vfdev-5]

Fixed failing tests:

• test.test_transforms_v2.TestRotate.test_kernel_image[cpu-dtype0-expand-True]
• test.test_transforms_v2.TestRotate.test_kernel_image[cpu-dtype1-expand-True]
• test.test_transforms_v2.TestRotate.test_kernel_bounding_boxes[cpu-dtype0-BoundingBoxFormat.XYXY-expand-True]
• test.test_transforms_v2.TestRotate.test_kernel_bounding_boxes[cpu-dtype0-BoundingBoxFormat.XYWH-expand-True]
• test.test_transforms_v2.TestRotate.test_kernel_bounding_boxes[cpu-dtype0-BoundingBoxFormat.CXCYWH-expand-True]
• test.test_transforms_v2.TestRotate.test_kernel_bounding_boxes[cpu-dtype1-BoundingBoxFormat.XYXY-expand-True]
• test.test_transforms_v2.TestRotate.test_kernel_bounding_boxes[cpu-dtype1-BoundingBoxFormat.XYWH-expand-True]
• test.test_transforms_v2.TestRotate.test_kernel_bounding_boxes[cpu-dtype1-BoundingBoxFormat.CXCYWH-expand-True]

from compile (true, inductor, true) / dynamic=true,backend=inductor,fullgraph=true: https://github.com/pytorch/vision/actions/runs/7298953575

PR is fixing the following error:

E   torch._dynamo.exc.UserError: Tried to use data-dependent value in the subsequent computation. This can happen when we encounter unbounded dynamic value that is unknown during tracing time.  You will need to explicitly give hint to the compiler. Please take a look at constrain_as_value OR constrain_as_size APIs.  It appears that you're trying to get a value out of symbolic int/float whose value is data-dependent (and thus we do not know the true value.)  The expression we were trying to evaluate is f0 >= 0 (unhinted: f0 >= 0).  For more information, run with TORCH_LOGS="+dynamic".
E   
E   For more information about this error, see: https://pytorch.org/docs/main/generated/exportdb/index.html#constrain-as-size-example
E   
E   from user code:
E      File "/pytorch/vision/torchvision/transforms/v2/functional/_geometry.py", line 986, in rotate_image
E       _compute_affine_output_size(matrix, input_width, input_height) if expand else (input_width, input_height)
E     File "/pytorch/vision/torchvision/transforms/v2/functional/_geometry.py", line 559, in _compute_affine_output_size
E       return int(size[0]), int(size[1])  # w, 

[pytorch-bot]

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As of commit 75387b4 with merge base 1de7a74 ():
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[NicolasHug]

Thanks a lot @vfdev-5 , LGTM if green (here and in #8127 !)