Arm backend: Refresh VGF operator support documentation

Commit 3da6123 enabled quantized VGF MaxPool1D coverage by
removing the VGF xfails, but did not regenerate the generated
operator support page.

Avoid future drift by running generate_op_support.py for VGF
whenever VGF pipeline coverage changes. The pre-push hook will
then verify that the committed output is current.

Authored with Codex.

Signed-off-by: Per Held <per.held@arm.com>

Change-Id: I8b26abcf9989d076676ebd52333ff64e531c1e5a

Author: perheld

docs/source/backends/arm-vgf/VGF_op_support.md

@@ -87,7 +87,7 @@ Total supported PyTorch APIs: **157**.
 | `torch.masked_fill` / `torch.Tensor.masked_fill` | FP, INT | `FP32`, `INT8` | 8x8 |
 | `torch.matmul` / `@` | FP, INT | `FP32`, `INT8` | 8x8 |
 | `torch.max` | FP | `FP32`, `FP16`, `BF16` | - |
-| `torch.max_pool1d` | FP | `FP32` | - |
+| `torch.max_pool1d` | FP, INT | `FP32`, `INT8` | 8x8 |
 | `torch.max_pool2d` | FP, INT | `FP32`, `FP16`, `BF16`, `INT8`, `INT16` | 8x8, 16x8 |
 | `torch.maximum` | FP, INT | `FP32`, `FP16`, `BF16`, `INT8`, `INT16` | 8x8, 16x8 |
 | `torch.mean` | FP, INT | `FP32`, `INT8` | 8x8 |
@@ -113,7 +113,7 @@ Total supported PyTorch APIs: **157**.
 | `torch.nn.LeakyReLU` / `torch.nn.functional.leaky_relu` | FP, INT | `FP32`, `INT8` | 8x8 |
 | `torch.nn.Linear` / `torch.nn.functional.linear` | FP, INT | `FP32`, `INT8`, `INT4` | 8x8, 8x4 |
 | `torch.nn.LogSoftmax` / `torch.nn.functional.log_softmax` | FP, INT | `FP32`, `INT8` | 8x8 |
-| `torch.nn.MaxPool2d` / `torch.nn.functional.max_pool2d` | FP | `FP32` | - |
+| `torch.nn.MaxPool2d` / `torch.nn.functional.max_pool2d` | FP, INT | `FP32`, `INT8` | 8x8 |
 | `torch.nn.SELU` / `torch.nn.functional.selu` | FP | `FP32` | - |
 | `torch.nn.SiLU` / `torch.nn.functional.silu` | FP, INT | `FP32`, `INT8` | 8x8 |
 | `torch.nn.Softmax` / `torch.nn.functional.softmax` | FP, INT | `FP32`, `INT8` | 8x8 |