mirror of https://github.com/llvm/torch-mlir
97 lines
2.2 KiB
YAML
97 lines
2.2 KiB
YAML
blacklist:
|
|
# Disabled in favour of `aten::index_put` which supports optional indices via `hacked_twin` JIT hack.
|
|
# It also doesn't have confusing `unsafe` argument.
|
|
- _index_put_impl
|
|
|
|
# Additional ops which autogen is supported for but don't compile yet
|
|
- _convolution
|
|
- detach
|
|
- item
|
|
- size
|
|
- copy_
|
|
|
|
# Disabled for consistency with TS backend
|
|
- lift_fresh_copy
|
|
- rsub
|
|
|
|
# Disabled in favour of functionalized alternatives
|
|
- _reshape_alias
|
|
- permute
|
|
- select.int
|
|
- squeeze.dim
|
|
- transpose.int
|
|
- expand
|
|
- squeeze
|
|
- unsqueeze
|
|
- view
|
|
- slice.Tensor
|
|
- split.Tensor
|
|
- split_with_sizes
|
|
- unbind.int
|
|
|
|
|
|
# List of supported ops that we don't want to do the full codegen for
|
|
supported:
|
|
- _to_copy
|
|
- clone
|
|
- _unsafe_view
|
|
- unbind_copy.int
|
|
- split_copy.Tensor
|
|
- split_with_sizes_copy
|
|
- index.Tensor
|
|
- index_put
|
|
|
|
# ops required for functionalization
|
|
- lift
|
|
- lift_fresh
|
|
# Below are all operators that are "composite" in core,
|
|
# but require us to explicitly re-enable functionalization in order to use them.
|
|
# Why? These operators are all CompositeExplicitAutograd, which mean that they run
|
|
# after functionalization,
|
|
# but their implementations call view operators (which we need to functionalize away).
|
|
- block_diag
|
|
- new_empty_strided
|
|
- narrow_copy
|
|
- pixel_shuffle
|
|
- pixel_unshuffle
|
|
- select_backward
|
|
- slice_backward
|
|
- diagonal_backward
|
|
- _trilinear
|
|
- linalg_pinv.atol_rtol_tensor
|
|
- logsumexp.out
|
|
- t
|
|
|
|
# List of ops that will take in symints for the size instead of ints
|
|
symint:
|
|
- new_empty_strided
|
|
- expand_copy
|
|
- narrow_copy
|
|
- slice_backward
|
|
- slice_copy.Tensor
|
|
- split_copy.Tensor
|
|
- slice_scatter
|
|
- view_copy
|
|
- as_strided_copy
|
|
- as_strided_scatter
|
|
- split_with_sizes_copy
|
|
|
|
|
|
additional_ops:
|
|
# Additional ops to support that are not supported by Torch-MLIR explicitly
|
|
- _copy_from
|
|
- _copy_from_and_resize
|
|
|
|
# List of non native ops that we only want to do IR node class generation for
|
|
non_native:
|
|
- func: scalar(Scalar value, ScalarType type) -> Tensor
|
|
opkind: at::prim::Constant
|
|
properties:
|
|
- ShapeCompute
|
|
- TreatScalarsAsConstants
|
|
- func: expand(Tensor input, int[] size, bool is_scalar_expand) -> Tensor
|
|
- func: cast(Tensor input, ScalarType dtype, ScalarType? stype) -> Tensor
|
|
opkind: ltc_cast
|
|
properties:
|
|
- ShapeCompute
|