torch-mlir/build_tools/autogen_ltc_backend.yaml

blacklist:
# List of unsupported ops in LTC autogen because of some error
- arange  # Error: Code below assumes there is at least one tensor arg
- contiguous  # Error: TODO add support for type BaseType(name=<BaseTy.MemoryFormat: 12>)
- empty_like  # Error: TODO add support for type BaseType(name=<BaseTy.MemoryFormat: 12>)
- full  # Error: Code below assumes there is at least one tensor arg
- index.Tensor  # Error: TODO not sure if there are other valid types to handle here
- index_put  # Error: TODO not sure if there are other valid types to handle here
- index_put_  # Error: TODO not sure if there are other valid types to handle here
- _index_put_impl_  # Error: TODO not sure if there are other valid types to handle here
- ones  # Error: Code below assumes there is at least one tensor arg
- ones_like  # Error: TODO add support for type BaseType(name=<BaseTy.MemoryFormat: 12>)
- resize_  # Error: TODO add support for type BaseType(name=<BaseTy.MemoryFormat: 12>)
- stack  # Error: TODO not sure if there are other valid types to handle here
- to.dtype  # Error: TODO add support for type BaseType(name=<BaseTy.MemoryFormat: 12>)
- to.other  # Error: TODO add support for type BaseType(name=<BaseTy.MemoryFormat: 12>)
- uniform_  # Error: TODO add support for type BaseType(name=<BaseTy.MemoryFormat: 12>)
- zeros  # Error: Code below assumes there is at least one tensor arg
- zeros_like  # Error: TODO add support for type BaseType(name=<BaseTy.MemoryFormat: 12>)

# Additional ops which autogen is supported for but don't compile yet
- item
- size
- where
- copy_
- _to_copy
- log_softmax  # Not inherently differentiable. Needs to be decomposed.
- linear  # Not inherently differentiable. Needs to be decomposed.

# List of supported ops that we don't want to do the full codegen for
# primarily view ops
supported:
# - bernoulli
# - bernoulli_
- cat
- clone
- empty
- expand
- fill_
- native_batch_norm
# - native_batch_norm_backward
- permute
- squeeze
- t
- unsqueeze
- view

additional_ops:
# Additional ops to support that are not supported by Torch-MLIR explicitly
- _copy_from
- _copy_from_and_resize
- native_batch_norm_backward