Routetest_DiarSepSpeechpytest.mark.parametrize(
"input_size, segment_size, hop_size, normalize_segment_scale, num_spk",
[
test/espnet2/bin/test_diar_inference.py:None
Routetest_DiarizeSpeechpytest.mark.parametrize(
"input_size, segment_size, normalize_segment_scale, num_spk",
[(16000, None,
test/espnet2/bin/test_diar_inference.py:None
Routetest_DiarizeSpeech2pytest.mark.parametrize(
"input_size, segment_size, normalize_segment_scale",
[
(16000, None,
test/espnet2/bin/test_diar_inference.py:None
Routetest_LabelAggregatepytest.mark.parametrize(
("input_label", "expected_output"),
[
(torch.ones(10, 20000, 2), torc
test/espnet2/layers/test_label_aggregation.py:None
Routetest_SeparateSpeechpytest.mark.parametrize(
"input_size, segment_size, hop_size, normalize_segment_scale",
[(16000, None,
test/espnet2/bin/test_enh_inference.py:None
Routetest_SeparateSpeechpytest.mark.parametrize(
"input_size, segment_size, hop_size, normalize_segment_scale",
[(16000, None,
test/espnet2/bin/test_enh_tse_inference.py:None
Routetest_block_typepytest.mark.parametrize(
"input_conf, body_conf",
[
({}, [{}]),
({}, [{"block_type": "
test/espnet2/asr_transducer/test_encoder.py:None
Routetest_create_adapter_houslbypytest.mark.parametrize(
"model, adapter, adapter_conf",
[(init_S3prl_model(), "houlsby", {"bottleneck
test/espnet2/layers/test_create_adapter.py:None
Routetest_create_houlsby_adapter_bottleneckpytest.mark.parametrize("model, bottleneck, target_layers", [("s3prl", 64, [])])
test/espnet2/layers/test_create_adapter_fn.py:None
Routetest_create_houlsby_adapter_invalid_modelpytest.mark.parametrize(
"model, bottleneck, target_layers", [(init_decoder_model(), 64, [])]
)
test/espnet2/layers/test_create_adapter_fn.py:None
Routetest_create_houlsby_adapter_invalid_target_layerspytest.mark.parametrize("model, bottleneck, target_layers", [("s3prl", 64, [200])])
test/espnet2/layers/test_create_adapter_fn.py:None
Routetest_create_houlsby_adapter_target_layerspytest.mark.parametrize("model, bottleneck, target_layers", [("s3prl", 64, [1, 2])])
test/espnet2/layers/test_create_adapter_fn.py:None
Routetest_create_lora_adapter_embeddingpytest.mark.parametrize("rank, alpha, target_modules", [(2, 4, ["embed.0"])])
test/espnet2/layers/test_create_adapter_fn.py:None
Routetest_create_lora_adapter_invalid_targetpytest.mark.parametrize("rank, alpha, target_modules", [(2, 4, ["query_proj"])])
test/espnet2/layers/test_create_adapter_fn.py:None
Routetest_create_lora_adapter_invalid_typepytest.mark.parametrize("rank, alpha, target_modules", [(2, 4, 5)])
test/espnet2/layers/test_create_adapter_fn.py:None
Routetest_create_lora_adapter_linearpytest.mark.parametrize("rank, alpha, target_modules", [(2, 4, ["linear_q"])])
test/espnet2/layers/test_create_adapter_fn.py:None
Routetest_create_lora_adapter_unsupport_targetpytest.mark.parametrize("rank, alpha, target_modules", [(2, 4, ["norm1"])])
test/espnet2/layers/test_create_adapter_fn.py:None
Routetest_dc_crn_separator_multich_inputpytest.mark.parametrize("input_channels", [[4, 4], [6, 4, 4]])
test/espnet2/enh/separator/test_dc_crn_separator.py:None
Routetest_encoder_forward_backwardpytest.mark.parametrize(
"input_layer",
["linear", "conv2d", "conv2d1", "conv2d2", "conv2d6", "conv2d8
test/espnet2/asr/encoder/test_longformer_encoder.py:None
Routetest_encoder_forward_backwardpytest.mark.parametrize(
"input_layer",
["linear", "conv2d", "conv2d1", "conv2d2", "conv2d6", "conv2d8
test/espnet2/asr/encoder/test_branchformer_encoder.py:None
Routetest_encoder_forward_backwardpytest.mark.parametrize(
"input_layer",
["linear", "conv2d", "conv2d1", "conv2d2", "conv2d6", "conv2d8
test/espnet2/asr/encoder/test_conformer_encoder.py:None
Routetest_encoder_forward_backwardpytest.mark.parametrize(
"input_layer",
["linear", "conv2d", "conv2d1", "conv2d2", "conv2d6", "conv2d8
test/espnet2/asr/encoder/test_multiconvformer_encoder.py:None
Routetest_enh_s2t_SeparateSpeechpytest.mark.parametrize(
"input_size, segment_size, hop_size, normalize_segment_scale",
[(16000, None,
test/espnet2/bin/test_enh_inference.py:None
Routetest_frontend_backwardpytest.mark.parametrize(
"fs, input_fs, postfrontend_conf, multilayer_feature, layer",
[
(1600
test/espnet2/gan_svs/visinger/test_postfrontend.py:None
Routetest_jets_is_trainable_and_decodablepytest.mark.parametrize(
"gen_dict, dis_dict, loss_dict",
[
({}, {}, {}),
({}, {}, {"c
test/espnet2/gan_tts/jets/test_jets.py:None
Routetest_jets_is_trainable_and_decodable_on_gpupytest.mark.parametrize(
"gen_dict, dis_dict, loss_dict",
[
({}, {}, {}),
({}, {}, {"c
test/espnet2/gan_tts/jets/test_jets.py:None
Routetest_joint_model_is_trainable_and_decodablepytest.mark.parametrize(
"s2m_dict, voc_dict, dis_dict, loss_dict",
[
({}, {}, {}, {}),
test/espnet2/gan_svs/joint/test_joint_score2wav.py:None
Routetest_joint_model_is_trainable_and_decodablepytest.mark.parametrize(
"t2m_dict, voc_dict, dis_dict, loss_dict",
[
({}, {}, {}, {}),
test/espnet2/gan_tts/joint/test_joint_text2wav.py:None
Routetest_length_adaptor_forwardpytest.mark.parametrize("input_layer, odim", [[None, None], ["linear", 100]])
test/espnet2/asr/postencoder/test_length_adaptor_postencoder.py:None
Routetest_model_trainingpytest.mark.parametrize(
"enc_params, enc_gen_params, dec_params, joint_net_params, main_params",
[
test/espnet2/asr_transducer/test_espnet_transducer_model.py:None
Routetest_multi_speaker_jets_is_trainable_and_decodablepytest.mark.parametrize(
"gen_dict, dis_dict, loss_dict,",
[
({}, {}, {}),
({}, {}, {"
test/espnet2/gan_tts/jets/test_jets.py:None
Routetest_multi_speaker_jets_is_trainable_and_decodable_on_gpupytest.mark.parametrize(
"gen_dict, dis_dict, loss_dict",
[
({}, {}, {}),
({}, {}, {"c
test/espnet2/gan_tts/jets/test_jets.py:None
Routetest_multi_speaker_vits_is_trainable_and_decodablepytest.mark.parametrize(
"gen_dict, dis_dict, loss_dict,",
get_test_data(),
)
test/espnet2/gan_svs/visinger/test_visinger_plus.py:None
Routetest_multi_speaker_vits_is_trainable_and_decodablepytest.mark.parametrize(
"gen_dict, dis_dict, loss_dict,",
get_test_data(),
)
test/espnet2/gan_svs/visinger/test_visinger.py:None
Routetest_multi_speaker_vits_is_trainable_and_decodablepytest.mark.parametrize(
"gen_dict, dis_dict, loss_dict,",
get_test_data(),
)
test/espnet2/gan_tts/vits/test_vits.py:None