[Doc][TTS] CosyVoice3 online docs + residual TTS yaml cleanup + remove VoxCPM v1 (#3748)

Signed-off-by: Yueqian Lin <linyueqian@outlook.com>

tests/model_executor/stage_input_processors/test_voxcpm_async_chunk.py

@@ -1,85 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
-
-"""UTs for VoxCPM async-chunk stage input processing."""
-
-from types import SimpleNamespace
-
-import pytest
-import torch
-
-from vllm_omni.model_executor.stage_input_processors.voxcpm import (
-    _VOXCPM_LATENT_MAGIC,
-    _coerce_finished_flag,
-    latent2vae_async_chunk,
-)
-
-pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
-
-
-def _request(*, finished):
-    return SimpleNamespace(is_finished=lambda: finished)
-
-
-def _decode_serialized_latent(codes: list[int]) -> torch.Tensor:
-    assert codes[0] == _VOXCPM_LATENT_MAGIC
-    latent_dim = codes[1]
-    time_dim = codes[2]
-    payload = torch.tensor(codes[3:], dtype=torch.int32).to(torch.uint16)
-    return payload.view(torch.bfloat16).to(torch.float32).reshape(1, latent_dim, time_dim)
-
-
-@pytest.mark.parametrize(
-    ("value", "expected"),
-    [
-        (None, False),
-        (False, False),
-        (True, True),
-        (torch.tensor(False), False),
-        (torch.tensor(True), True),
-        ([torch.tensor(True)], True),
-        (([True],), True),
-        ([], False),
-    ],
-)
-def test_coerce_finished_flag(value, expected):
-    assert _coerce_finished_flag(value) is expected
-
-
-def test_latent2vae_async_chunk_serializes_latent_payload():
-    latent = torch.arange(6, dtype=torch.float32).reshape(2, 3)
-
-    payload = latent2vae_async_chunk(
-        transfer_manager=None,
-        pooling_output={"latent_audio_feat": latent},
-        request=_request(finished=False),
-        is_finished=torch.tensor(False),
-    )
-
-    assert payload is not None
-    assert torch.equal(payload.meta.finished, torch.tensor(False, dtype=torch.bool))
-    recovered = _decode_serialized_latent(payload.codes.audio.tolist())
-    torch.testing.assert_close(recovered, latent.to(torch.bfloat16).to(torch.float32).unsqueeze(0))
-
-
-def test_latent2vae_async_chunk_returns_terminal_marker_without_latent():
-    payload = latent2vae_async_chunk(
-        transfer_manager=None,
-        pooling_output=None,
-        request=_request(finished=[torch.tensor(True)]),
-        is_finished=False,
-    )
-
-    assert payload.codes.audio.tolist() == []
-    assert torch.equal(payload.meta.finished, torch.tensor(True, dtype=torch.bool))
-
-
-def test_latent2vae_async_chunk_returns_none_for_nonterminal_empty_chunk():
-    payload = latent2vae_async_chunk(
-        transfer_manager=None,
-        pooling_output={"latent_audio_feat": torch.zeros((0,), dtype=torch.float32)},
-        request=_request(finished=False),
-        is_finished=False,
-    )
-
-    assert payload is None