05b794f29b
Signed-off-by: Sy03 <1370724210@qq.com> Signed-off-by: lishunyang12 <lishunyang03@gmail.com> Signed-off-by: Yueqian Lin <linyueqian@outlook.com> Co-authored-by: lishunyang12 <lishunyang03@gmail.com> Co-authored-by: Yueqian Lin <linyueqian@outlook.com> Co-authored-by: StormMelody <22371184@zju.edu.cn> Co-authored-by: Gao Han <hgaoaf@connect.ust.hk> Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
import pytest
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import torch
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from vllm_omni.utils.mm_outputs import partition_flat_payload, partition_payload_list
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pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
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def test_partition_thinker_latent_payload():
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payload = {
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"hidden_states.layer_0": torch.zeros(2, 4),
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"hidden_states.layer_24": torch.zeros(2, 8),
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"embed.tts_bos": [torch.zeros(1, 1, 4)],
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}
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inter, client = partition_flat_payload(payload)
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assert inter == payload
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assert client == {}
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def test_partition_talker_intermediate_codes():
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payload = {
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"codes.audio": torch.zeros(3, 2),
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"hidden": torch.zeros(3, 16),
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}
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inter, client = partition_flat_payload(payload)
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assert inter == payload
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assert client == {}
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def test_partition_code2wav_client_audio():
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payload = {
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"model_outputs": torch.zeros(1, 2400),
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"sr": torch.tensor(24000, dtype=torch.int32),
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}
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inter, client = partition_flat_payload(payload)
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assert inter == {}
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assert client == payload
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def test_partition_payload_list_preserves_request_alignment():
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payloads = [
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{"hidden_states.layer_0": torch.zeros(1, 2)},
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{"model_outputs": torch.zeros(1, 10)},
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]
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inter_list, client_list = partition_payload_list(payloads)
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assert inter_list == [payloads[0], None]
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assert client_list == [None, payloads[1]]
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def test_partition_duplex_audio_transcript_metadata_to_client_mm():
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payload = {
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"model_outputs": torch.zeros(1, 2400),
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"meta.duplex_epoch": torch.tensor([3], dtype=torch.int32),
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"meta.duplex_turn_id": torch.tensor([2], dtype=torch.int32),
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"meta.llm_output_text_utf8": torch.tensor([104, 105], dtype=torch.uint8),
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"meta.audio_text_total_chars": torch.tensor([2], dtype=torch.int32),
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"meta.tts_is_last_chunk": torch.tensor([1], dtype=torch.int32),
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"meta.turn_end": torch.tensor([1], dtype=torch.int32),
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"meta.native_duplex_segment_text": "hi",
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}
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inter, client = partition_flat_payload(payload)
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assert "meta.llm_output_text_utf8" in client
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assert "meta.audio_text_total_chars" in client
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assert "meta.duplex_epoch" in client
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assert "meta.duplex_turn_id" in client
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assert "meta.tts_is_last_chunk" in client
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assert "meta.turn_end" in client
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assert "meta.native_duplex_segment_text" not in client
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assert "meta.native_duplex_segment_text" in inter
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