pifeifei
commented
11 months ago 有报错了， 后面部分一样，训练前面正常， 后面突然就报错了， 这个是什么原因？ 从哪里查找问题呢？
毫无头绪
python\VITS-fast-fine-tuning>python finetune_speaker_v2.py -m ./OUTPUT_MODEL --max_epochs 1000 --drop_speaker_embed True
INFO:OUTPUT_MODEL:{'train': {'log_interval': 10, 'eval_interval': 100, 'seed': 1234, 'epochs': 10000, 'learning_rate': 0.0002, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 16, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 8192, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0}, 'data': {'training_files': 'final_annotation_train.txt', 'validation_files': 'final_annotation_val.txt', 'text_cleaners': ['cjke_cleaners2'], 'max_wav_value': 32768.0, 'sampling_rate': 22050, 'filter_length': 1024, 'hop_length': 256, 'win_length': 1024, 'n_mel_channels': 80, 'mel_fmin': 0.0, 'mel_fmax': None, 'add_blank': True, 'n_speakers': 4, 'cleaned_text': True}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [8, 8, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 4, 4], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 256}, 'symbols': ['_', ',', '.', '!', '?', '-', '~', '…', 'N', 'Q', 'a', 'b', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', 'ɑ', 'æ', 'ʃ', 'ʑ', 'ç', 'ɯ', 'ɪ', 'ɔ', 'ɛ', 'ɹ', 'ð', 'ə', 'ɫ', 'ɥ', 'ɸ', 'ʊ', 'ɾ', 'ʒ', 'θ', 'β', 'ŋ', 'ɦ', '⁼', 'ʰ', '`', '^', '#', '*', '=', 'ˈ', 'ˌ', '→', '↓', '↑', ' '], 'speakers': {'xinyi': 0, 'specialweek': 1, 'zhongli': 2, 'vctk': 3}, 'model_dir': '././OUTPUT_MODEL', 'max_epochs': 1000, 'cont': False, 'drop_speaker_embed': True, 'train_with_pretrained_model': True, 'preserved': 4}
INFO:torch.distributed.distributed_c10d:Added key: store_based_barrier_key:1 to store for rank: 0
INFO:torch.distributed.distributed_c10d:Rank 0: Completed store-based barrier for key:store_based_barrier_key:1 with 1 nodes.
Train with pretrained model...
INFO:OUTPUT_MODEL:emb_g.weight is not in the checkpoint
INFO:OUTPUT_MODEL:Loaded checkpoint './pretrained_models/G_0.pth' (iteration 419)
INFO:OUTPUT_MODEL:Loaded checkpoint './pretrained_models/D_0.pth' (iteration 419)
0%| | 0/55 [00:00<?, ?it/s]H:\git\7-python\VITS-fast-fine-tuning\mel_processing.py:78: FutureWarning: Pass sr=22050, n_fft=1024, n_mels=80, fmin=0.0, fmax=None as keyword args. From version 0.10 passing these as positional arguments will result in an error
mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
H:\git\7-python\VITS-fast-fine-tuning\mel_processing.py:96: FutureWarning: Pass sr=22050, n_fft=1024, n_mels=80, fmin=0.0, fmax=None as keyword args. From version 0.10 passing these as positional arguments will result in an error
mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
INFO:torch.nn.parallel.distributed:Reducer buckets have been rebuilt in this iteration.
D:\ProgramFiles\anaconda3\envs\py38\lib\site-packages\torch\autograd\__init__.py:197: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance.
grad.sizes() = [1, 9, 96], strides() = [50016, 96, 1]
bucket_view.sizes() = [1, 9, 96], strides() = [864, 96, 1] (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\distributed\c10d\reducer.cpp:339.)
Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
INFO:OUTPUT_MODEL:Train Epoch: 1 [0%]
INFO:OUTPUT_MODEL:[2.8575103282928467, 1.6816233396530151, 9.934112548828125, 27.370094299316406, 1.7278823852539062, 12.55760669708252, 0, 0.0002]
DEBUG:matplotlib:(private) matplotlib data path: D:\ProgramFiles\anaconda3\envs\py38\lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:matplotlib data path: D:\ProgramFiles\anaconda3\envs\py38\lib\site-packages\matplotlib\mpl-data
DEBUG:matplotlib:CONFIGDIR=C:\Users\pff\.matplotlib
DEBUG:matplotlib:matplotlib version 3.3.1
DEBUG:matplotlib:interactive is False
DEBUG:matplotlib:platform is win32
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'scipy.ndimage._ni_docstrings', 'scipy.ndimage._filters', 'scipy.ndimage._fourier', 'scipy.special._sf_error', '_cython_0_29_33', 'scipy.special._ufuncs_cxx', 'scipy.special._ufuncs', 'scipy.special._specfun', 'scipy.special._comb', 'scipy.special._basic', 'scipy._lib._util', 'scipy.special._logsumexp', 'scipy.linalg._fblas', 'scipy.linalg.blas', 'scipy.linalg._flapack', 'scipy.linalg.lapack', 'scipy.linalg._misc', 'scipy.linalg._cythonized_array_utils', 'scipy.linalg._flinalg', 'scipy.linalg._flinalg_py', 'scipy.linalg._decomp', 'scipy.linalg._decomp_svd', 'scipy.linalg._solve_toeplitz', 'scipy.linalg._basic', 'scipy.linalg._decomp_lu', 'scipy.linalg._decomp_ldl', 'scipy.linalg._decomp_cholesky', 'scipy.linalg._decomp_qr', 'scipy.linalg._decomp_qz', 'scipy.linalg._decomp_schur', 'scipy.linalg._decomp_polar', 'scipy.linalg._special_matrices', 'scipy.linalg._expm_frechet', 'scipy.linalg._matfuncs_sqrtm_triu', 'scipy.linalg._matfuncs_sqrtm', 'scipy.linalg.cython_lapack', 'scipy.linalg.cython_blas', 'scipy.linalg._matfuncs_expm', 'scipy.linalg._matfuncs', 'scipy.linalg._solvers', 'scipy.linalg._procrustes', 'scipy.linalg._decomp_update', 'scipy.sparse._sputils', 'scipy.sparse._base', 'scipy.sparse._sparsetools', 'scipy.sparse._data', 'scipy.sparse._index', 'scipy.sparse._compressed', 'scipy.sparse._csr', 'scipy.sparse._csc', '_csparsetools', 'scipy.sparse._csparsetools', 'scipy.sparse._lil', 'scipy.sparse._dok', 'scipy.sparse._coo', 'scipy.sparse._dia', 'scipy.sparse._bsr', 'scipy.sparse._construct', 'scipy.sparse._extract', 'scipy.sparse._matrix_io', 'scipy.sparse._arrays', 'scipy.sparse.linalg._isolve._iterative', 'scipy.sparse.linalg._interface', 'scipy.sparse.linalg._isolve.utils', 'scipy._lib.decorator', 'scipy._lib._threadsafety', 'scipy.sparse.linalg._isolve.iterative', 'scipy.sparse.linalg._isolve.minres', 'scipy.sparse.linalg._isolve._gcrotmk', 'scipy.sparse.linalg._isolve.lgmres', 'scipy.sparse.linalg._isolve.lsqr', 'scipy.sparse.linalg._isolve.lsmr', 'scipy.sparse.linalg._isolve.tfqmr', 'scipy.sparse.linalg._isolve', 'scipy.sparse.linalg._dsolve._superlu', 'scipy.sparse.linalg._dsolve.linsolve', 'scipy.sparse.linalg._dsolve._add_newdocs', 'scipy.sparse.linalg._dsolve', 'scipy.sparse.linalg._eigen.arpack._arpack', 'scipy.sparse.linalg._eigen.arpack.arpack', 'scipy.sparse.linalg._eigen.arpack', 'scipy.sparse.linalg._eigen.lobpcg.lobpcg', 'scipy.sparse.linalg._eigen.lobpcg', 'scipy.sparse.linalg._eigen._svds', 'scipy.sparse.linalg._eigen', 'scipy.sparse.linalg._onenormest', 'scipy.sparse.linalg._expm_multiply', 'scipy.sparse.linalg._matfuncs', 'scipy.sparse.linalg._norm', 'scipy.sparse.linalg.isolve', 'scipy.sparse.linalg.dsolve', 'scipy.sparse.linalg.interface', 'scipy.sparse.linalg.eigen', 'scipy.sparse.linalg.matfuncs', 'scipy.sparse.linalg', 'scipy.sparse.csgraph._laplacian', 'scipy.sparse.csgraph._tools', 'scipy.sparse.csgraph._validation', 'scipy.sparse.csgraph._shortest_path', 'scipy.sparse.csgraph._traversal', 'scipy.sparse.csgraph._min_spanning_tree', 'scipy.sparse.csgraph._flow', 'scipy.sparse.csgraph._matching', 'scipy.sparse.csgraph._reordering', 'scipy.sparse.csgraph', 'scipy.sparse.base', 'scipy.sparse.bsr', 'scipy.sparse.compressed', 'scipy.sparse.construct', 'scipy.sparse.coo', 'scipy.sparse.csc', 'scipy.sparse.csr', 'scipy.sparse.data', 'scipy.sparse.dia', 'scipy.sparse.dok', 'scipy.sparse.extract', 'scipy.sparse.lil', 'scipy.sparse.sparsetools', 'scipy.sparse.sputils', 'scipy.sparse', 'scipy.linalg._sketches', 'scipy.linalg._decomp_cossin', 'scipy.linalg.decomp', 'scipy.linalg.decomp_cholesky', 'scipy.linalg.decomp_lu', 'scipy.linalg.decomp_qr', 'scipy.linalg.decomp_svd', 'scipy.linalg.decomp_schur', 'scipy.linalg.basic', 'scipy.linalg.misc', 'scipy.linalg.special_matrices', 'scipy.linalg.flinalg', 'scipy.linalg.matfuncs', 'scipy.linalg', 'scipy.special._orthogonal', 'scipy.special._spfun_stats', 'scipy.special._ellip_harm_2', 'scipy.special._ellip_harm', 'scipy.special._lambertw', 'scipy.special._spherical_bessel', 'scipy.special._add_newdocs', 'scipy.special.add_newdocs', 'scipy.special.basic', 'scipy.special.orthogonal', 'scipy.special.specfun', 'scipy.special.sf_error', 'scipy.special.spfun_stats', 'scipy.special', 'scipy.ndimage._interpolation', '_ni_label', 'scipy.ndimage._ni_label', 'scipy.ndimage._morphology', 'scipy.ndimage._measurements', 'scipy.ndimage.filters', 'scipy.ndimage.fourier', 'scipy.ndimage.interpolation', 'scipy.ndimage.measurements', 'scipy.ndimage.morphology', 'scipy.ndimage', 'numba._version', 'numba.misc', 'numba.misc.init_utils', 'numba.core', 'yaml.error', 'yaml.tokens', 'yaml.events', 'yaml.nodes', 'yaml.reader', 'yaml.scanner', 'yaml.parser', 'yaml.composer', 'yaml.constructor', 'yaml.resolver', 'yaml.loader', 'yaml.emitter', 'yaml.serializer', 'yaml.representer', 'yaml.dumper', 'yaml._yaml', 'yaml.cyaml', 'yaml', 'llvmlite._version', 'llvmlite', 'llvmlite.binding.common', 'llvmlite.utils', 'llvmlite.binding.ffi', 'llvmlite.binding.dylib', 'llvmlite.binding.targets', 'llvmlite.binding.object_file', 'llvmlite.binding.executionengine', 'llvmlite.binding.initfini', 'llvmlite.binding.linker', 'llvmlite.binding.value', 'llvmlite.binding.context', 'llvmlite.binding.module', 'llvmlite.binding.options', 'llvmlite.binding.passmanagers', 'llvmlite.binding.transforms', 'llvmlite.binding.analysis', 'llvmlite.binding.orcjit', 'llvmlite.binding', 'numba.core.config', 'timeit', 'numba.core.utils', 'numba.core.types.abstract', 'numba.core.errors', 'numba.core.types.common', 'numba.core.typeconv.castgraph', 'numba.core.typeconv', 'numba.core.consts', 'numba.core.ir', 'numba.core.types.misc', 'numba.core.types.containers', 'numba.core.types.functions', 'numba.core.types.iterators', 'llvmlite.ir._utils', 'llvmlite.ir.types', 'llvmlite.ir.values', 'llvmlite.ir.context', 'llvmlite.ir.module', 'llvmlite.ir.instructions', 'llvmlite.ir.builder', 'llvmlite.ir.transforms', 'llvmlite.ir', 'numba.core.types.npytypes', 'numba.np', 'numba.np.npdatetime_helpers', 'numba.core.types.scalars', 'numba.core.types.function_type', 'numba.core.types', 'numba.core.typeconv._typeconv', 'numba.core.typeconv.typeconv', 'numba.core.typeconv.rules', 'numba.core.targetconfig', 'numba.core.cpu_options', 'numba.core.typing.templates', 'numba.core.datamodel.manager', 'numba.core.datamodel.packer', 'numba.core.datamodel.registry', 'numba.core.datamodel.models', 'numba.core.datamodel', 'numba.core.debuginfo', 'numba.core.cgutils', 'numba.np.numpy_support', 'numba.core.typing.typeof', 'numba.core.typing.context', 'numba.core.typing', 'numba.core.typing.asnumbatype', 'numba.misc.special', 'numba.stencils', 'numba.core.imputils', 'numba._helperlib', 'numba.core.itanium_mangler', 'numba.core.funcdesc', 'numba.core.generators', 'numba.core.removerefctpass', 'numba._dynfunc', 'numba.core.environment', 'numba.core.controlflow', 'numba.core.analysis', 'numba.misc.firstlinefinder', 'numba.core.lowering', 'numba.cloudpickle.compat', 'numba.cloudpickle.cloudpickle', 'numba.cloudpickle.cloudpickle_fast', 'numba.cloudpickle', 'numba.core.serialize', 'numba.core.pythonapi', 'numba.core.extending', 'numba.core.transforms', 'numba.core.postproc', 'numba.core.rewrites.registry', 'numba.core.rewrites.static_getitem', 'numba.core.rewrites.static_raise', 'numba.core.rewrites.static_binop', 'numba.core.rewrites.ir_print', 'numba.core.rewrites', 'numba.core.ir_utils', 'numba.core.descriptors', 'numba._devicearray', 'numba._dispatcher', 'numba.core.tracing', 'numba.core.byteflow', 'numba.core.unsafe', 'numba.core.unsafe.eh', 'numba.cpython', 'numba.cpython.unsafe', 'numba.cpython.unsafe.tuple', 'numba.core.interpreter', 'numba.core.bytecode', 'numba.core.event', 'numba.core.compiler_lock', 'numba.core.typeinfer', 'numba.stencils.stencilparfor', 'numba.core.typing.npydecl', 'numba.parfors.array_analysis', 'numba.parfors.parfor', 'numba.core.sigutils', 'numba.parfors.parfor_lowering_utils', 'numba.parfors.parfor_lowering', 'numba.parfors', 'numba.core.typing.builtins', 'numba.extending', 'numba.cpython.builtins', 'numba.core.base', 'numba.core.callconv', 'numba.core.callwrapper', 'html.entities', 'html', 'numba.core.llvm_bindings', 'numba.core.runtime.nrtdynmod', 'numba.core.runtime._nrt_python', 'numba.core.runtime.nrt', 'numba.core.runtime', 'numba.core.runtime.nrtopt', 'numba.misc.inspection', 'numba.misc.llvm_pass_timings', 'numba.core.codegen', 'numba.core.intrinsics', 'numba.core.externals', 'numba.core.fastmathpass', 'numba.core.options', 'numba.core.entrypoints', 'numba.np.ufunc_db', 'numba.core.cpu', 'numba.core.compiler_machinery', 'numba.core.ssa', 'numba.core.untyped_passes', 'numba.core.annotations', 'numba.core.annotations.type_annotations', 'numba.core.typed_passes', 'numba.core.pylowering', 'numba.core.object_mode_passes', 'numba.core.compiler', 'numba.misc.appdirs', 'numba.core.caching', 'numba.core.retarget', 'numba.core.dispatcher', 'numba.core.registry', 'numba.stencils.stencil', 'numba.core.decorators', 'numba.np.ufunc._internal', 'numba.np.ufunc.wrappers', 'numba.core.target_extension', 'numba.np.ufunc.sigparse', 'numba.np.ufunc.ufuncbuilder', 'numba.np.ufunc.parallel', 'numba.np.ufunc.dufunc', 'numba.np.ufunc.gufunc', 'numba.np.ufunc.decorators', 'numba.np.ufunc.array_exprs', 'numba.np.ufunc', 'numba.experimental.jitclass.decorators', 'numba.experimental.jitclass._box', 'numba.experimental.jitclass.boxing', 'numba.experimental.jitclass.overloads', 'numba.experimental.jitclass', 'numba.experimental', 'numba.core.withcontexts', 'numba.typed', 'numba', 'librosa.util.exceptions', 'librosa.util.deprecation', 'librosa.util.decorators', 'librosa.util.utils', 'xml.parsers', 'pyexpat.errors', 'pyexpat.model', 'pyexpat', 'xml.parsers.expat.model', 'xml.parsers.expat.errors', 'xml.parsers.expat', 'plistlib', 'pkg_resources.extern', 'pkg_resources._vendor', 'pkg_resources._vendor.jaraco', 'pkg_resources.extern.jaraco', 'pkg_resources._vendor.zipp', 'pkg_resources._vendor.importlib_resources._compat', 'pkg_resources._vendor.importlib_resources.abc', 'pkg_resources._vendor.importlib_resources._common', 'pkg_resources._vendor.importlib_resources._legacy', 'pkg_resources._vendor.importlib_resources', 'pkg_resources.extern.importlib_resources', 'pkg_resources._vendor.more_itertools.recipes', 'pkg_resources._vendor.more_itertools.more', 'pkg_resources._vendor.more_itertools', 'pkg_resources.extern.more_itertools', 'pkg_resources.extern.jaraco.functools', 'pkg_resources.extern.jaraco.context', 'pkg_resources.extern.jaraco.text', 'pkg_resources._vendor.platformdirs.api', 'pkg_resources._vendor.platformdirs.version', 'pkg_resources._vendor.platformdirs.windows', 'pkg_resources._vendor.platformdirs', 'pkg_resources.extern.platformdirs', 'pkg_resources._vendor.packaging', 'pkg_resources.extern.packaging', 'pkg_resources.extern.packaging._structures', 'pkg_resources.extern.packaging.version', 'pkg_resources._vendor.packaging._elffile', 'pkg_resources._vendor.packaging._manylinux', 'pkg_resources._vendor.packaging._musllinux', 'pkg_resources.extern.packaging.tags', 'pkg_resources.extern.packaging.utils', 'pkg_resources.extern.packaging.specifiers', 'pkg_resources.extern.packaging._tokenizer', 'pkg_resources.extern.packaging._parser', 'pkg_resources.extern.packaging.markers', 'pkg_resources.extern.packaging.requirements', 'pkg_resources', 'shlex', 'pooch.hashes', 'platformdirs.api', 'platformdirs.version', 'platformdirs.windows', 'platformdirs', 'packaging', 'packaging._structures', 'packaging.version', 'pooch.utils', 'ftplib', 'pooch.downloaders', 'pooch.core', 'pooch.processors', 'pooch._version', 'pooch', 'librosa.util.files', 'librosa.util.matching', 'scipy.optimize._minpack2', 'scipy.optimize._linesearch', 'scipy.optimize._group_columns', 'scipy.optimize._numdiff', 'scipy.optimize._hessian_update_strategy', 'scipy.optimize._differentiable_functions', 'scipy.optimize._optimize', 'scipy.optimize._trustregion', 'scipy.optimize._trustregion_dogleg', 'scipy.optimize._trustregion_ncg', 'scipy._lib.messagestream', 'scipy.optimize._trlib._trlib', 'scipy.optimize._trlib', 'scipy.optimize._trustregion_krylov', 'scipy.optimize._trustregion_exact', 'numpy.testing._private', 'numpy.linalg.lapack_lite', 'numpy.testing._private.utils', 'numpy.testing._private.extbuild', 'numpy.testing._private.decorators', 'numpy.testing._private.nosetester', 'numpy.testing', 'scipy.optimize._constraints', 'scipy.optimize._trustregion_constr.projections', 'scipy.optimize._trustregion_constr.qp_subproblem', 'scipy.optimize._trustregion_constr.equality_constrained_sqp', 'scipy.optimize._trustregion_constr.canonical_constraint', 'scipy.optimize._trustregion_constr.tr_interior_point', 'scipy.optimize._trustregion_constr.report', 'scipy.optimize._trustregion_constr.minimize_trustregion_constr', 'scipy.optimize._trustregion_constr', 'scipy.optimize._lbfgsb', 'scipy.optimize._lbfgsb_py', '_moduleTNC', 'scipy.optimize._moduleTNC', 'scipy.optimize._tnc', 'scipy.optimize._cobyla', 'scipy.optimize._cobyla_py', 'scipy.optimize._slsqp', 'scipy.optimize._slsqp_py', 'scipy.optimize._minimize', 'scipy.optimize._minpack', 'scipy.optimize._lsq.common', 'scipy.optimize._lsq.trf', 'scipy.optimize._lsq.dogbox', 'scipy.optimize._lsq.least_squares', 'scipy.optimize._lsq.givens_elimination', 'scipy.optimize._lsq.trf_linear', 'scipy.optimize._lsq.bvls', 'scipy.optimize._lsq.lsq_linear', 'scipy.optimize._lsq', 'scipy.optimize._minpack_py', 'scipy.optimize._spectral', 'scipy.optimize._nonlin', 'scipy.optimize._root', 'scipy.optimize._zeros', 'scipy.optimize._zeros_py', 'scipy.optimize._root_scalar', 'scipy.optimize.__nnls', 'scipy.optimize._nnls', 'scipy.optimize._basinhopping', 'scipy.optimize._highs', 'scipy.optimize._highs.cython.src._highs_wrapper', 'scipy.optimize._highs._highs_wrapper', 'scipy.optimize._highs.cython.src._highs_constants', 'scipy.optimize._highs._highs_constants', 'scipy.optimize._linprog_highs', 'scipy.linalg._interpolative', 'scipy.linalg._interpolative_backend', 'scipy.linalg.interpolative', 'scipy.optimize._remove_redundancy', 'scipy.optimize._linprog_util', 'scipy.optimize._linprog_ip', 'scipy.optimize._linprog_simplex', 'scipy.optimize._bglu_dense', 'scipy.optimize._linprog_rs', 'scipy.optimize._linprog_doc', 'scipy.optimize._linprog', 'scipy.optimize._lsap', 'scipy.optimize._differentialevolution', 'scipy.spatial._ckdtree', 'scipy.spatial._kdtree', 'scipy.spatial._qhull', 'scipy.spatial._voronoi', 'scipy.spatial._spherical_voronoi', 'scipy.spatial._plotutils', 'scipy.spatial._procrustes', 'scipy.spatial._distance_wrap', 'scipy.spatial._hausdorff', 'scipy.spatial._distance_pybind', 'scipy.spatial.distance', 'scipy.spatial._geometric_slerp', 'scipy.spatial.ckdtree', 'scipy.spatial.kdtree', 'scipy.spatial.qhull', 'scipy.constants._codata', 'scipy.constants._constants', 'scipy.constants.codata', 'scipy.constants.constants', 'scipy.constants', 'scipy.spatial.transform._rotation_groups', 'scipy.spatial.transform._rotation', 'scipy.spatial.transform._rotation_spline', 'scipy.spatial.transform.rotation', 'scipy.spatial.transform', 'scipy.spatial', 'scipy.optimize._shgo_lib', 'scipy.optimize._shgo_lib.triangulation', 'scipy.optimize._shgo', 'scipy.optimize._dual_annealing', 'scipy.optimize._qap', 'scipy.optimize._direct', 'scipy.optimize._direct_py', 'scipy.optimize._milp', 'scipy.optimize.cobyla', 'scipy.optimize.lbfgsb', 'scipy.optimize.linesearch', 'scipy.optimize.minpack', 'scipy.optimize.minpack2', 'scipy.optimize.moduleTNC', 'scipy.optimize.nonlin', 'scipy.optimize.optimize', 'scipy.optimize.slsqp', 'scipy.optimize.tnc', 'scipy.optimize.zeros', 'scipy.optimize', 'librosa.util._nnls', 'librosa.util', 'librosa.core.notation', 'librosa.core.convert', 'ctypes.util', '_cffi_backend', '_soundfile', '_soundfile_data', 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'torchaudio.backend.no_backend', 'torchaudio.backend.common', 'torchaudio.backend.soundfile_backend', 'torchaudio.io._compat', 'torchaudio.backend.sox_io_backend', 'torchaudio.backend.utils', 'torchaudio.backend', 'torchaudio.version', 'torchaudio', 'mel_processing', 'unidecode', 'pyopenjtalk.version', 'pyopenjtalk.htsengine', '_cython_0_29_34', 'pyopenjtalk.openjtalk', 'pyopenjtalk.utils', 'pyopenjtalk', 'text.japanese', 'jamo.jamo', 'jamo', 'ko_pron.data', 'ko_pron.ko_pron', 'ko_pron', 'text.korean', 'pypinyin.compat', 'pypinyin.pinyin_dict', 'pypinyin.phrases_dict', 'pypinyin.constants', 'pypinyin.contrib', 'pypinyin.contrib.uv', 'pypinyin.style', 'pypinyin.style._tone_rule', 'pypinyin.contrib._tone_rule', 'pypinyin.contrib.neutral_tone', 'pypinyin.phonetic_symbol', 'pypinyin.style._constants', 'pypinyin.standard', 'pypinyin.style._utils', 'pypinyin.style.tone', 'pypinyin.style._tone_convert', 'pypinyin.contrib.tone_convert', 'pypinyin.contrib.tone_sandhi', 'pypinyin.seg', 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'matplotlib._animation_data', 'matplotlib.animation', 'pyparsing.util', 'pyparsing.unicode', 'pyparsing.exceptions', 'pyparsing.actions', 'pyparsing.results', 'pyparsing.core', 'pyparsing.helpers', 'pyparsing.testing', 'pyparsing.common', 'pyparsing', 'matplotlib.fontconfig_pattern', 'matplotlib.docstring', 'matplotlib._color_data', 'matplotlib.colors', 'cycler', 'matplotlib.rcsetup', 'matplotlib._version', 'matplotlib.ft2font', 'dateutil._version', 'dateutil', 'kiwisolver.exceptions', 'kiwisolver._cext', 'kiwisolver']
0%| | 0/55 [02:25<?, ?it/s]
Traceback (most recent call last):
File "finetune_speaker_v2.py", line 372, in <module>
main()
File "finetune_speaker_v2.py", line 55, in main
mp.spawn(run, nprocs=n_gpus, args=(n_gpus, hps,))
File "D:\ProgramFiles\anaconda3\envs\py38\lib\site-packages\torch\multiprocessing\spawn.py", line 240, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "D:\ProgramFiles\anaconda3\envs\py38\lib\site-packages\torch\multiprocessing\spawn.py", line 198, in start_processes
while not context.join():
File "D:\ProgramFiles\anaconda3\envs\py38\lib\site-packages\torch\multiprocessing\spawn.py", line 160, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "D:\ProgramFiles\anaconda3\envs\py38\lib\site-packages\torch\multiprocessing\spawn.py", line 69, in _wrap
fn(i, *args)
File "H:\git\7-python\VITS-fast-fine-tuning\finetune_speaker_v2.py", line 154, in run
train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d], scaler, [train_loader, eval_loader], logger, [writer, writer_eval])
File "H:\git\7-python\VITS-fast-fine-tuning\finetune_speaker_v2.py", line 262, in train_and_evaluate
evaluate(hps, net_g, eval_loader, writer_eval)
File "H:\git\7-python\VITS-fast-fine-tuning\finetune_speaker_v2.py", line 331, in evaluate
y_hat, attn, mask, *_ = generator.module.infer(x, x_lengths, speakers, max_len=1000)
UnboundLocalError: local variable 'x' referenced before assignment
longshiming
Barry1208
我内存是 32G , 用的 p2000 显卡