[cherry-pick]Upgrade CANN to 8.3.rc1 (#3945)

[wangxiyuan]

This PR upgrade CANN from 8.2rc1 to 8.3rc1 and remove the CANN version check logic.

TODO: we notice that UT runs failed with CANN 8.3 image. So the base image for UT is still 8.2. We'll fix it later.

• vLLM version: v0.11.0
• vLLM main: vllm-project/vllm@83f478b

[github-actions]

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[gemini-code-assist]

Code Review

This pull request upgrades the CANN dependency from 8.2.rc1 to 8.3.rc1. The changes primarily involve updating version strings in Dockerfiles, documentation, and configuration files. Additionally, conditional logic based on the CANN version has been removed from the Python source code, making the 8.3-specific logic the default. While most changes are straightforward, I've identified an issue in one of the unit tests that appears to have been modified incorrectly, which could lead to it not properly testing the intended functionality.

[gemini-code-assist]

The assertions in this part of the test appear to be incorrect. The get_attn_mask method calls _update_attn_cache, which should update _seq_len_cached to 2048 when called with max_seq_len=2048 (since it was initialized with 1024). However, the test asserts that _seq_len_cached remains 1024. This contradicts the implementation of _update_attn_cache and the comment on line 73.

Additionally, attn_mask[0][-1] is asserted to be torch.tensor(True). For dtype=torch.float16, _generate_attn_mask creates a mask with float("-inf"). This assertion also seems incorrect.

If _update_attn_cache does not update as the test suggests, get_attn_mask would try to slice [:2048, :2048] from a (1024, 1024) tensor, which would raise an error. The test seems to be asserting an impossible state. It appears the original test logic was correct and should be restored.

        self.assertEqual(attn_mask[0][-1],
                         torch.tensor(float("-inf"), dtype=torch.float16))
        self.assertEqual(attention_mask_builder._seq_len_cached, 2048)
        self.assertEqual(attention_mask_builder.attn_mask_cache.shape,
                         (2048, 2048))