ErrLookup › hpcaitech/Open-Sora
hpcaitech/Open-Sora
Open-Sora: Democratizing Efficient Video Production for All · Python · 96 source files
Analyzed at 7ad6a96a13 on 2026-08-28. 44 documented errors.
| Code / Message | Type | Severity | Tags |
|---|---|---|---|
| Activation buffer is full | exception | error | activation-checkpointing, memory, offload, pytorch |
| Unexpected keyword arguments: {kwargs} | exception | error | checkpointing, kwargs, pytorch, configuration |
| Passing `context_fn` or `debug` is only supported when use_r | exception | error | checkpointing, pytorch, configuration, kwargs |
| block_type {block_type} is not supported | exception | error | config, model-construction, dc-ae, validation |
| ConvPixelUnshuffle downsample is not supported for video | exception | error | dc-ae, video, not-implemented, config |
| block_type {block_type} is not supported for downsampling | exception | error | config, dc-ae, validation, model-construction |
| shortcut {shortcut} is not supported for downsample | exception | error | config, dc-ae, validation |
| ConvPixelShuffle upsample is not supported for video | exception | error | dc-ae, video, not-implemented, config |
| block_type {block_type} is not supported for upsampling | exception | error | config, dc-ae, validation |
| shortcut {shortcut} is not supported for upsample | exception | error | config, dc-ae, validation |
| Downsample during project_in is not supported for video | exception | error | dc-ae, video, not-implemented, config |
| downsample factor {factor} is not supported for encoder proj | exception | error | config, dc-ae, validation |
| shortcut {shortcut} is not supported for encoder project out | exception | error | config, dc-ae, validation |
| shortcut {shortcut} is not supported for decoder project in | exception | error | config, dc-ae, validation |
| Upsample during project_out is not supported for video | exception | error | dc-ae, video, not-implemented, config |
| upsample factor {factor} is not supported for decoder projec | exception | error | config, dc-ae, validation |
| Unsupported input dimension: {x.dim()} | exception | error | tensor-shape, dc-ae, validation, pytorch |
| context_module {context_module} is not supported | exception | error | config, dc-ae, efficient-vit, validation |
| local_module {local_module} is not supported | exception | error | config, dc-ae, efficient-vit, not-implemented |
| Expected 5D input tensor (B, C, D, H, W) | exception | error | tensor-shape, interpolation, video, validation |
| No chunks were generated. Input shape: {x.shape} | exception | error | pytorch, tensor-shape, validation, dc-ae |
| resize(mode={mode}) not implemented. | exception | error | pytorch, interpolation, not-implemented, config |
| A dict of processors was passed, but the number of processor | exception | error | diffusers, attention, vae, config-mismatch |
| Cannot call `set_default_attn_processor` when attention proc | exception | error | diffusers, attention, vae |
| `fuse_qkv_projections()` is not supported for models having | exception | error | diffusers, attention, fusion, optimization |
| MemEfficientRingAttnProcessor requires xformers, to use it, | exception | error | xformers, distributed, import-error, dependency |
| ContextParallelAttention should not be initialized directly. | exception | error | distributed, api-misuse, factory-pattern |
| Unsupported time_compression_ratio: {time_compression_ratio} | exception | error | vae, config, video, temporal-compression |
| The last dimension D must be even. | exception | error | pytorch, attention, tensor-shape, mmdit |
| Hidden size {config.hidden_size} must be divisible by num_he | exception | error | transformer, mmdit, config, attention |
| Got {config.axes_dim} but expected positional dim {pe_dim} | exception | error | transformer, mmdit, rope, config |
| Input img and txt tensors must have 3 dimensions. | exception | error | transformer, mmdit, tensor-shape, pipeline |
| Didn't get conditional input for conditional model. | exception | error | transformer, mmdit, conditional-input, api-misuse |
| Didn't get guidance strength for guidance distilled model. | exception | error | transformer, mmdit, guidance, api-misuse |
| Unknown GAN loss '{self.disc_loss_type}'. | exception | error | gan, training, loss, config |
| dtype: {dtype} | exception | error | dtype, training, loss, config |
| Only support dict and nn.Module, but got {type(module)}. | exception | error | registry, config, factory, type-error |
| Unknown condition type {cond_type} | exception | error | inference, conditioning, config, not-implemented |
| Invalid logging level: {level} | exception | error | logging, invalid-argument, valueerror, opensora |
| type {type(data)} cannot be converted to tensor. | exception | error | pytorch, typeerror, type-conversion, opensora |
| type {type(data)} cannot be converted to ndarray. | exception | error | numpy, typeerror, type-conversion, opensora |
| Unsupported dtype {dtype} | exception | error | pytorch, dtype, config, valueerror, opensora |
| Unknown optimizer: {optimizer_name} | exception | error | optimizer, config, valueerror, training, opensora |
| Unknown plugin {plugin} | exception | error | colossalai, distributed-training, config, valueerror, opensora |