[Mlir-commits] [llvm] [mlir] [MLIR][Python] enable type stub auto-generation (PR #155741)
Maksim Levental
llvmlistbot at llvm.org
Thu Aug 28 00:09:21 PDT 2025
https://github.com/makslevental updated https://github.com/llvm/llvm-project/pull/155741
>From 79943336564dae3cdf721216ff6c0935f9a1b1ba Mon Sep 17 00:00:00 2001
From: makslevental <maksim.levental at gmail.com>
Date: Wed, 27 Aug 2025 23:30:01 -0400
Subject: [PATCH 1/4] [MLIR][Python] enable type stub auto-generation
---
mlir/CMakeLists.txt | 4 +
mlir/cmake/modules/AddMLIRPython.cmake | 43 +
.../examples/standalone/python/CMakeLists.txt | 3 +-
mlir/python/CMakeLists.txt | 20 +-
mlir/python/mlir/_mlir_libs/.gitignore | 1 +
.../python/mlir/_mlir_libs/_mlir/__init__.pyi | 12 -
.../mlir/_mlir_libs/_mlir/dialects/pdl.pyi | 63 -
.../mlir/_mlir_libs/_mlir/dialects/quant.pyi | 142 -
.../_mlir/dialects/transform/__init__.pyi | 25 -
mlir/python/mlir/_mlir_libs/_mlir/ir.pyi | 2846 -----------------
.../mlir/_mlir_libs/_mlir/passmanager.pyi | 36 -
.../mlir/_mlir_libs/_mlirExecutionEngine.pyi | 24 -
mlir/python/requirements.txt | 2 +-
13 files changed, 57 insertions(+), 3164 deletions(-)
create mode 100644 mlir/python/mlir/_mlir_libs/.gitignore
delete mode 100644 mlir/python/mlir/_mlir_libs/_mlir/__init__.pyi
delete mode 100644 mlir/python/mlir/_mlir_libs/_mlir/dialects/pdl.pyi
delete mode 100644 mlir/python/mlir/_mlir_libs/_mlir/dialects/quant.pyi
delete mode 100644 mlir/python/mlir/_mlir_libs/_mlir/dialects/transform/__init__.pyi
delete mode 100644 mlir/python/mlir/_mlir_libs/_mlir/ir.pyi
delete mode 100644 mlir/python/mlir/_mlir_libs/_mlir/passmanager.pyi
delete mode 100644 mlir/python/mlir/_mlir_libs/_mlirExecutionEngine.pyi
diff --git a/mlir/CMakeLists.txt b/mlir/CMakeLists.txt
index f58a4c6f506ec..1a211f5495764 100644
--- a/mlir/CMakeLists.txt
+++ b/mlir/CMakeLists.txt
@@ -191,6 +191,10 @@ configure_file(
set(MLIR_BINDINGS_PYTHON_NB_DOMAIN "mlir"
CACHE STRING "nanobind domain for MLIR python bindings.")
+set(MLIR_PYTHON_PACKAGE_PREFIX "mlir"
+ CACHE STRING "Specifies that all MLIR packages are co-located under the
+ `MLIR_PYTHON_PACKAGE_PREFIX` top level package (the API has been
+ embedded in a relocatable way).")
set(MLIR_ENABLE_BINDINGS_PYTHON 0 CACHE BOOL
"Enables building of Python bindings.")
set(MLIR_BINDINGS_PYTHON_INSTALL_PREFIX "python_packages/mlir_core/mlir" CACHE STRING
diff --git a/mlir/cmake/modules/AddMLIRPython.cmake b/mlir/cmake/modules/AddMLIRPython.cmake
index 2b883558d33c6..f0e36f85feabf 100644
--- a/mlir/cmake/modules/AddMLIRPython.cmake
+++ b/mlir/cmake/modules/AddMLIRPython.cmake
@@ -99,6 +99,38 @@ function(declare_mlir_python_sources name)
endif()
endfunction()
+function(generate_type_stubs module_name depends_target output_dir)
+ if(EXISTS ${nanobind_DIR}/../src/stubgen.py)
+ set(NB_STUBGEN "${nanobind_DIR}/../src/stubgen.py")
+ elseif(EXISTS ${nanobind_DIR}/../stubgen.py)
+ set(NB_STUBGEN "${nanobind_DIR}/../stubgen.py")
+ else()
+ message(FATAL_ERROR "generate_type_stubs(): could not locate 'stubgen.py'!")
+ endif()
+
+ set(NB_STUBGEN_CMD
+ "${Python_EXECUTABLE}"
+ "${NB_STUBGEN}"
+ --module
+ "${MLIR_PYTHON_PACKAGE_PREFIX}._mlir_libs.${module_name}"
+ -i
+ "${MLIR_BINARY_DIR}/${MLIR_BINDINGS_PYTHON_INSTALL_PREFIX}/.."
+ --recursive
+ --include-private
+ --output-dir
+ "${output_dir}")
+
+ set(NB_STUBGEN_OUTPUT "${output_dir}/${module_name}.pyi")
+ add_custom_command(
+ OUTPUT ${NB_STUBGEN_OUTPUT}
+ COMMAND ${NB_STUBGEN_CMD}
+ WORKING_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}"
+ DEPENDS ${depends_target})
+ set(_name "MLIRPythonModuleStubs_${module_name}")
+ add_custom_target("${_name}" ALL DEPENDS ${NB_STUBGEN_OUTPUT})
+ set(NB_STUBGEN_CUSTOM_TARGET "${_name}" PARENT_SCOPE)
+endfunction()
+
# Function: declare_mlir_python_extension
# Declares a buildable python extension from C++ source files. The built
# module is considered a python source file and included as everything else.
@@ -243,6 +275,17 @@ function(add_mlir_python_modules name)
)
add_dependencies(${modules_target} ${_extension_target})
mlir_python_setup_extension_rpath(${_extension_target})
+ generate_type_stubs(
+ ${_module_name}
+ ${_extension_target}
+ "${CMAKE_CURRENT_SOURCE_DIR}/mlir/_mlir_libs/_mlir"
+ )
+ declare_mlir_python_sources("_${_module_name}_type_stub_gen"
+ ROOT_DIR "${CMAKE_CURRENT_SOURCE_DIR}/mlir"
+ ADD_TO_PARENT "${sources_target}"
+ SOURCES_GLOB "_mlir_libs/${_module_name}/**/*.pyi"
+ )
+ add_dependencies("${modules_target}" "${NB_STUBGEN_CUSTOM_TARGET}")
else()
message(SEND_ERROR "Unrecognized source type '${_source_type}' for python source target ${sources_target}")
return()
diff --git a/mlir/examples/standalone/python/CMakeLists.txt b/mlir/examples/standalone/python/CMakeLists.txt
index 69c82fd913579..c004452457eb9 100644
--- a/mlir/examples/standalone/python/CMakeLists.txt
+++ b/mlir/examples/standalone/python/CMakeLists.txt
@@ -2,8 +2,7 @@ include(AddMLIRPython)
# Specifies that all MLIR packages are co-located under the `mlir_standalone`
# top level package (the API has been embedded in a relocatable way).
-# TODO: Add an upstream cmake param for this vs having a global here.
-add_compile_definitions("MLIR_PYTHON_PACKAGE_PREFIX=mlir_standalone.")
+add_compile_definitions("MLIR_PYTHON_PACKAGE_PREFIX=${MLIR_PYTHON_PACKAGE_PREFIX}.")
################################################################################
diff --git a/mlir/python/CMakeLists.txt b/mlir/python/CMakeLists.txt
index 7a0c95ebb8200..961de0a9f45f3 100644
--- a/mlir/python/CMakeLists.txt
+++ b/mlir/python/CMakeLists.txt
@@ -1,5 +1,9 @@
include(AddMLIRPython)
+# Specifies that all MLIR packages are co-located under the `mlir_standalone`
+# top level package (the API has been embedded in a relocatable way).
+add_compile_definitions("MLIR_PYTHON_PACKAGE_PREFIX=${MLIR_PYTHON_PACKAGE_PREFIX}.")
+
################################################################################
# Structural groupings.
################################################################################
@@ -23,11 +27,6 @@ declare_mlir_python_sources(MLIRPythonSources.Core.Python
passmanager.py
rewrite.py
dialects/_ods_common.py
-
- # The main _mlir module has submodules: include stubs from each.
- _mlir_libs/_mlir/__init__.pyi
- _mlir_libs/_mlir/ir.pyi
- _mlir_libs/_mlir/passmanager.pyi
)
declare_mlir_python_sources(MLIRPythonSources.Core.Python.Extras
@@ -43,7 +42,6 @@ declare_mlir_python_sources(MLIRPythonSources.ExecutionEngine
ADD_TO_PARENT MLIRPythonSources
SOURCES
execution_engine.py
- _mlir_libs/_mlirExecutionEngine.pyi
SOURCES_GLOB
runtime/*.py
)
@@ -195,7 +193,6 @@ declare_mlir_dialect_python_bindings(
TD_FILE dialects/TransformOps.td
SOURCES
dialects/transform/__init__.py
- _mlir_libs/_mlir/dialects/transform/__init__.pyi
DIALECT_NAME transform
GEN_ENUM_BINDINGS_TD_FILE
"../../include/mlir/Dialect/Transform/IR/TransformAttrs.td"
@@ -367,8 +364,7 @@ declare_mlir_python_sources(
ROOT_DIR "${CMAKE_CURRENT_SOURCE_DIR}/mlir"
GEN_ENUM_BINDINGS
SOURCES
- dialects/quant.py
- _mlir_libs/_mlir/dialects/quant.pyi)
+ dialects/quant.py)
declare_mlir_dialect_python_bindings(
ADD_TO_PARENT MLIRPythonSources.Dialects
@@ -384,7 +380,6 @@ declare_mlir_dialect_python_bindings(
TD_FILE dialects/PDLOps.td
SOURCES
dialects/pdl.py
- _mlir_libs/_mlir/dialects/pdl.pyi
DIALECT_NAME pdl)
declare_mlir_dialect_python_bindings(
@@ -809,7 +804,7 @@ endif()
add_mlir_python_common_capi_library(MLIRPythonCAPI
INSTALL_COMPONENT MLIRPythonModules
INSTALL_DESTINATION "${MLIR_BINDINGS_PYTHON_INSTALL_PREFIX}/_mlir_libs"
- OUTPUT_DIRECTORY "${MLIR_BINARY_DIR}/python_packages/mlir_core/mlir/_mlir_libs"
+ OUTPUT_DIRECTORY "${MLIR_BINARY_DIR}/${MLIR_BINDINGS_PYTHON_INSTALL_PREFIX}/_mlir_libs"
RELATIVE_INSTALL_ROOT "../../../.."
DECLARED_HEADERS
MLIRPythonCAPI.HeaderSources
@@ -838,7 +833,7 @@ endif()
################################################################################
add_mlir_python_modules(MLIRPythonModules
- ROOT_PREFIX "${MLIR_BINARY_DIR}/python_packages/mlir_core/mlir"
+ ROOT_PREFIX "${MLIR_BINARY_DIR}/${MLIR_BINDINGS_PYTHON_INSTALL_PREFIX}"
INSTALL_PREFIX "${MLIR_BINDINGS_PYTHON_INSTALL_PREFIX}"
DECLARED_SOURCES
MLIRPythonSources
@@ -847,4 +842,3 @@ add_mlir_python_modules(MLIRPythonModules
COMMON_CAPI_LINK_LIBS
MLIRPythonCAPI
)
-
diff --git a/mlir/python/mlir/_mlir_libs/.gitignore b/mlir/python/mlir/_mlir_libs/.gitignore
new file mode 100644
index 0000000000000..10c6f95d3ce42
--- /dev/null
+++ b/mlir/python/mlir/_mlir_libs/.gitignore
@@ -0,0 +1 @@
+_mlir/**/*.pyi
\ No newline at end of file
diff --git a/mlir/python/mlir/_mlir_libs/_mlir/__init__.pyi b/mlir/python/mlir/_mlir_libs/_mlir/__init__.pyi
deleted file mode 100644
index 03449b70b7fa3..0000000000000
--- a/mlir/python/mlir/_mlir_libs/_mlir/__init__.pyi
+++ /dev/null
@@ -1,12 +0,0 @@
-
-globals: "_Globals"
-
-class _Globals:
- dialect_search_modules: list[str]
- def _register_dialect_impl(self, dialect_namespace: str, dialect_class: type) -> None: ...
- def _register_operation_impl(self, operation_name: str, operation_class: type) -> None: ...
- def append_dialect_search_prefix(self, module_name: str) -> None: ...
- def _check_dialect_module_loaded(self, dialect_namespace: str) -> bool: ...
-
-def register_dialect(dialect_class: type) -> type: ...
-def register_operation(dialect_class: type, *, replace: bool = ...) -> type: ...
diff --git a/mlir/python/mlir/_mlir_libs/_mlir/dialects/pdl.pyi b/mlir/python/mlir/_mlir_libs/_mlir/dialects/pdl.pyi
deleted file mode 100644
index d12c6839deaba..0000000000000
--- a/mlir/python/mlir/_mlir_libs/_mlir/dialects/pdl.pyi
+++ /dev/null
@@ -1,63 +0,0 @@
-# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
-# See https://llvm.org/LICENSE.txt for license information.
-# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
-
-
-from mlir.ir import Type, Context
-
-__all__ = [
- 'PDLType',
- 'AttributeType',
- 'OperationType',
- 'RangeType',
- 'TypeType',
- 'ValueType',
-]
-
-
-class PDLType(Type):
- @staticmethod
- def isinstance(type: Type) -> bool: ...
-
-
-class AttributeType(Type):
- @staticmethod
- def isinstance(type: Type) -> bool: ...
-
- @staticmethod
- def get(context: Context | None = None) -> AttributeType: ...
-
-
-class OperationType(Type):
- @staticmethod
- def isinstance(type: Type) -> bool: ...
-
- @staticmethod
- def get(context: Context | None = None) -> OperationType: ...
-
-
-class RangeType(Type):
- @staticmethod
- def isinstance(type: Type) -> bool: ...
-
- @staticmethod
- def get(element_type: Type) -> RangeType: ...
-
- @property
- def element_type(self) -> Type: ...
-
-
-class TypeType(Type):
- @staticmethod
- def isinstance(type: Type) -> bool: ...
-
- @staticmethod
- def get(context: Context | None = None) -> TypeType: ...
-
-
-class ValueType(Type):
- @staticmethod
- def isinstance(type: Type) -> bool: ...
-
- @staticmethod
- def get(context: Context | None = None) -> ValueType: ...
diff --git a/mlir/python/mlir/_mlir_libs/_mlir/dialects/quant.pyi b/mlir/python/mlir/_mlir_libs/_mlir/dialects/quant.pyi
deleted file mode 100644
index 3f5304584edef..0000000000000
--- a/mlir/python/mlir/_mlir_libs/_mlir/dialects/quant.pyi
+++ /dev/null
@@ -1,142 +0,0 @@
-# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
-# See https://llvm.org/LICENSE.txt for license information.
-# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
-
-
-from mlir.ir import DenseElementsAttr, Type
-
-__all__ = [
- "QuantizedType",
- "AnyQuantizedType",
- "UniformQuantizedType",
- "UniformQuantizedPerAxisType",
- "CalibratedQuantizedType",
-]
-
-class QuantizedType(Type):
- @staticmethod
- def isinstance(type: Type) -> bool: ...
-
- @staticmethod
- def default_minimum_for_integer(is_signed: bool, integral_width: int) -> int:
- ...
-
- @staticmethod
- def default_maximum_for_integer(is_signed: bool, integral_width: int) -> int:
- ...
-
- @property
- def expressed_type(self) -> Type: ...
-
- @property
- def flags(self) -> int: ...
-
- @property
- def is_signed(self) -> bool: ...
-
- @property
- def storage_type(self) -> Type: ...
-
- @property
- def storage_type_min(self) -> int: ...
-
- @property
- def storage_type_max(self) -> int: ...
-
- @property
- def storage_type_integral_width(self) -> int: ...
-
- def is_compatible_expressed_type(self, candidate: Type) -> bool: ...
-
- @property
- def quantized_element_type(self) -> Type: ...
-
- def cast_from_storage_type(self, candidate: Type) -> Type: ...
-
- @staticmethod
- def cast_to_storage_type(type: Type) -> Type: ...
-
- def cast_from_expressed_type(self, candidate: Type) -> Type: ...
-
- @staticmethod
- def cast_to_expressed_type(type: Type) -> Type: ...
-
- def cast_expressed_to_storage_type(self, candidate: Type) -> Type: ...
-
-
-class AnyQuantizedType(QuantizedType):
-
- @classmethod
- def get(cls, flags: int, storage_type: Type, expressed_type: Type,
- storage_type_min: int, storage_type_max: int) -> Type:
- ...
-
-
-class UniformQuantizedType(QuantizedType):
-
- @classmethod
- def get(cls, flags: int, storage_type: Type, expressed_type: Type,
- scale: float, zero_point: int, storage_type_min: int,
- storage_type_max: int) -> Type: ...
-
- @property
- def scale(self) -> float: ...
-
- @property
- def zero_point(self) -> int: ...
-
- @property
- def is_fixed_point(self) -> bool: ...
-
-
-class UniformQuantizedPerAxisType(QuantizedType):
-
- @classmethod
- def get(cls, flags: int, storage_type: Type, expressed_type: Type,
- scales: list[float], zero_points: list[int], quantized_dimension: int,
- storage_type_min: int, storage_type_max: int):
- ...
-
- @property
- def scales(self) -> list[float]: ...
-
- @property
- def zero_points(self) -> list[int]: ...
-
- @property
- def quantized_dimension(self) -> int: ...
-
- @property
- def is_fixed_point(self) -> bool: ...
-
-class UniformQuantizedSubChannelType(QuantizedType):
-
- @classmethod
- def get(cls, flags: int, storage_type: Type, expressed_type: Type,
- scales: DenseElementsAttr, zero_points: DenseElementsAttr,
- quantized_dimensions: list[int], block_sizes: list[int],
- storage_type_min: int, storage_type_max: int):
- ...
-
- @property
- def quantized_dimensions(self) -> list[int]: ...
-
- @property
- def block_sizes(self) -> list[int]: ...
-
- @property
- def scales(self) -> DenseElementsAttr: ...
-
- @property
- def zero_points(self) -> DenseElementsAttr: ...
-
-def CalibratedQuantizedType(QuantizedType):
-
- @classmethod
- def get(cls, expressed_type: Type, min: float, max: float): ...
-
- @property
- def min(self) -> float: ...
-
- @property
- def max(self) -> float: ...
\ No newline at end of file
diff --git a/mlir/python/mlir/_mlir_libs/_mlir/dialects/transform/__init__.pyi b/mlir/python/mlir/_mlir_libs/_mlir/dialects/transform/__init__.pyi
deleted file mode 100644
index a3f1b09102379..0000000000000
--- a/mlir/python/mlir/_mlir_libs/_mlir/dialects/transform/__init__.pyi
+++ /dev/null
@@ -1,25 +0,0 @@
-# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
-# See https://llvm.org/LICENSE.txt for license information.
-# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
-
-
-from mlir.ir import Type, Context
-
-
-class AnyOpType(Type):
- @staticmethod
- def isinstance(type: Type) -> bool: ...
-
- @staticmethod
- def get(context: Context | None = None) -> AnyOpType: ...
-
-
-class OperationType(Type):
- @staticmethod
- def isinstance(type: Type) -> bool: ...
-
- @staticmethod
- def get(operation_name: str, context: Context | None = None) -> OperationType: ...
-
- @property
- def operation_name(self) -> str: ...
diff --git a/mlir/python/mlir/_mlir_libs/_mlir/ir.pyi b/mlir/python/mlir/_mlir_libs/_mlir/ir.pyi
deleted file mode 100644
index dcae3dd742940..0000000000000
--- a/mlir/python/mlir/_mlir_libs/_mlir/ir.pyi
+++ /dev/null
@@ -1,2846 +0,0 @@
-# Originally imported via:
-# pybind11-stubgen --print-invalid-expressions-as-is mlir._mlir_libs._mlir.ir
-# but with the following diff (in order to remove pipes from types,
-# which we won't support until bumping minimum python to 3.10)
-#
-# --------------------- diff begins ------------------------------------
-#
-# diff --git a/pybind11_stubgen/printer.py b/pybind11_stubgen/printer.py
-# index 1f755aa..4924927 100644
-# --- a/pybind11_stubgen/printer.py
-# +++ b/pybind11_stubgen/printer.py
-# @@ -283,14 +283,6 @@ class Printer:
-# return split[0] + "..."
-#
-# def print_type(self, type_: ResolvedType) -> str:
-# - if (
-# - str(type_.name) == "typing.Optional"
-# - and type_.parameters is not None
-# - and len(type_.parameters) == 1
-# - ):
-# - return f"{self.print_annotation(type_.parameters[0])} | None"
-# - if str(type_.name) == "typing.Union" and type_.parameters is not None:
-# - return " | ".join(self.print_annotation(p) for p in type_.parameters)
-# if type_.parameters:
-# param_str = (
-# "["
-#
-# --------------------- diff ends ------------------------------------
-#
-# Local modifications:
-# * Rewrite references to 'mlir.ir' to local types.
-# * Drop `typing.` everywhere (top-level import instead).
-# * List -> List, dict -> Dict, Tuple -> Tuple.
-# * copy-paste Buffer type from typing_extensions.
-# * Shuffle _OperationBase, AffineExpr, Attribute, Type, Value to the top.
-# * Patch raw C++ types (like "PyAsmState") with a regex like `Py(.*)`.
-# * _BaseContext -> Context, MlirType -> Type, MlirTypeID -> TypeID, MlirAttribute -> Attribute.
-# * Local edits to signatures and types that pybind11-stubgen did not auto detect (or detected incorrectly).
-# * Add MLIRError, _GlobalDebug, _OperationBase to __all__ by hand.
-# * Fill in `Any`s where possible.
-# * black formatting.
-
-from __future__ import annotations
-
-import abc
-import collections
-from collections.abc import Callable, Sequence
-from pathlib import Path
-from typing import Any, BinaryIO, ClassVar, Literal, TypeVar, overload
-
-__all__ = [
- "AffineAddExpr",
- "AffineBinaryExpr",
- "AffineCeilDivExpr",
- "AffineConstantExpr",
- "AffineDimExpr",
- "AffineExpr",
- "AffineExprList",
- "AffineFloorDivExpr",
- "AffineMap",
- "AffineMapAttr",
- "AffineModExpr",
- "AffineMulExpr",
- "AffineSymbolExpr",
- "ArrayAttr",
- "ArrayAttributeIterator",
- "AsmState",
- "AttrBuilder",
- "Attribute",
- "BF16Type",
- "Block",
- "BlockArgument",
- "BlockArgumentList",
- "BlockIterator",
- "BlockList",
- "BoolAttr",
- "ComplexType",
- "Context",
- "DenseBoolArrayAttr",
- "DenseBoolArrayIterator",
- "DenseElementsAttr",
- "DenseF32ArrayAttr",
- "DenseF32ArrayIterator",
- "DenseF64ArrayAttr",
- "DenseF64ArrayIterator",
- "DenseFPElementsAttr",
- "DenseI16ArrayAttr",
- "DenseI16ArrayIterator",
- "DenseI32ArrayAttr",
- "DenseI32ArrayIterator",
- "DenseI64ArrayAttr",
- "DenseI64ArrayIterator",
- "DenseI8ArrayAttr",
- "DenseI8ArrayIterator",
- "DenseIntElementsAttr",
- "DenseResourceElementsAttr",
- "Diagnostic",
- "DiagnosticHandler",
- "DiagnosticInfo",
- "DiagnosticSeverity",
- "Dialect",
- "DialectDescriptor",
- "DialectRegistry",
- "Dialects",
- "DictAttr",
- "F16Type",
- "F32Type",
- "F64Type",
- "FlatSymbolRefAttr",
- "Float4E2M1FNType",
- "Float6E2M3FNType",
- "Float6E3M2FNType",
- "Float8E3M4Type",
- "Float8E4M3B11FNUZType",
- "Float8E4M3FNType",
- "Float8E4M3FNUZType",
- "Float8E4M3Type",
- "Float8E5M2FNUZType",
- "Float8E5M2Type",
- "Float8E8M0FNUType",
- "FloatAttr",
- "FloatTF32Type",
- "FloatType",
- "FunctionType",
- "IndexType",
- "InferShapedTypeOpInterface",
- "InferTypeOpInterface",
- "InsertionPoint",
- "IntegerAttr",
- "IntegerSet",
- "IntegerSetAttr",
- "IntegerSetConstraint",
- "IntegerSetConstraintList",
- "IntegerType",
- "Location",
- "MemRefType",
- "Module",
- "NamedAttribute",
- "NoneType",
- "OpAttributeMap",
- "OpOperand",
- "OpOperandIterator",
- "OpOperandList",
- "OpResult",
- "OpResultList",
- "OpSuccessors",
- "OpView",
- "OpaqueAttr",
- "OpaqueType",
- "Operation",
- "OperationIterator",
- "OperationList",
- "RankedTensorType",
- "Region",
- "RegionIterator",
- "RegionSequence",
- "ShapedType",
- "ShapedTypeComponents",
- "StridedLayoutAttr",
- "StringAttr",
- "SymbolRefAttr",
- "SymbolTable",
- "TupleType",
- "Type",
- "TypeAttr",
- "TypeID",
- "UnitAttr",
- "UnrankedMemRefType",
- "UnrankedTensorType",
- "Value",
- "VectorType",
- "_GlobalDebug",
- "_OperationBase",
-]
-
-if hasattr(collections.abc, "Buffer"):
- Buffer = collections.abc.Buffer
-else:
- class Buffer(abc.ABC):
- pass
-
-class _OperationBase:
- @overload
- def __eq__(self, arg0: _OperationBase) -> bool: ...
- @overload
- def __eq__(self, arg0: _OperationBase) -> bool: ...
- def __hash__(self) -> int: ...
- def __str__(self) -> str:
- """
- Returns the assembly form of the operation.
- """
- def clone(self, ip: InsertionPoint = None) -> OpView: ...
- def detach_from_parent(self) -> OpView:
- """
- Detaches the operation from its parent block.
- """
-
- @property
- def attached(self) -> bool:
- """
- Reports if the operation is attached to its parent block.
- """
-
- def erase(self) -> None: ...
-
- @overload
- def get_asm(
- binary: Literal[True],
- large_elements_limit: int | None = None,
- large_resource_limit: int | None = None,
- enable_debug_info: bool = False,
- pretty_debug_info: bool = False,
- print_generic_op_form: bool = False,
- use_local_scope: bool = False,
- assume_verified: bool = False,
- skip_regions: bool = False,
- ) -> bytes: ...
- @overload
- def get_asm(
- self,
- binary: bool = False,
- large_elements_limit: int | None = None,
- large_resource_limit: int | None = None,
- enable_debug_info: bool = False,
- pretty_debug_info: bool = False,
- print_generic_op_form: bool = False,
- use_local_scope: bool = False,
- assume_verified: bool = False,
- skip_regions: bool = False,
- ) -> str:
- """
- Returns the assembly form of the operation.
-
- See the print() method for common keyword arguments for configuring
- the output.
- """
-
- def move_after(self, other: _OperationBase) -> None:
- """
- Puts self immediately after the other operation in its parent block.
- """
- def move_before(self, other: _OperationBase) -> None:
- """
- Puts self immediately before the other operation in its parent block.
- """
- @overload
- def print(
- self,
- state: AsmState,
- file: Any | None = None,
- binary: bool = False,
- ) -> None:
- """
- Prints the assembly form of the operation to a file like object.
-
- Args:
- file: The file like object to write to. Defaults to sys.stdout.
- binary: Whether to write bytes (True) or str (False). Defaults to False.
- state: AsmState capturing the operation numbering and flags.
- """
- @overload
- def print(
- self,
- large_elements_limit: int | None = None,
- large_resource_limit: int | None = None,
- enable_debug_info: bool = False,
- pretty_debug_info: bool = False,
- print_generic_op_form: bool = False,
- use_local_scope: bool = False,
- assume_verified: bool = False,
- file: Any | None = None,
- binary: bool = False,
- skip_regions: bool = False,
- ) -> None:
- """
- Prints the assembly form of the operation to a file like object.
-
- Args:
- file: The file like object to write to. Defaults to sys.stdout.
- binary: Whether to write bytes (True) or str (False). Defaults to False.
- large_elements_limit: Whether to elide elements attributes above this
- number of elements. Defaults to None (no limit).
- large_resource_limit: Whether to elide resource strings above this
- number of characters. Defaults to None (no limit). If large_elements_limit
- is set and this is None, the behavior will be to use large_elements_limit
- as large_resource_limit.
- enable_debug_info: Whether to print debug/location information. Defaults
- to False.
- pretty_debug_info: Whether to format debug information for easier reading
- by a human (warning: the result is unparseable).
- print_generic_op_form: Whether to print the generic assembly forms of all
- ops. Defaults to False.
- use_local_Scope: Whether to print in a way that is more optimized for
- multi-threaded access but may not be consistent with how the overall
- module prints.
- assume_verified: By default, if not printing generic form, the verifier
- will be run and if it fails, generic form will be printed with a comment
- about failed verification. While a reasonable default for interactive use,
- for systematic use, it is often better for the caller to verify explicitly
- and report failures in a more robust fashion. Set this to True if doing this
- in order to avoid running a redundant verification. If the IR is actually
- invalid, behavior is undefined.
- skip_regions: Whether to skip printing regions. Defaults to False.
- """
- def verify(self) -> bool:
- """
- Verify the operation. Raises MLIRError if verification fails, and returns true otherwise.
- """
- def write_bytecode(self, file: BinaryIO | str, desired_version: int | None = None) -> None:
- """
- Write the bytecode form of the operation to a file like object.
-
- Args:
- file: The file like object or path to write to.
- desired_version: The version of bytecode to emit.
- Returns:
- The bytecode writer status.
- """
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def attributes(self) -> OpAttributeMap: ...
- @property
- def context(self) -> Context:
- """
- Context that owns the Operation
- """
- @property
- def location(self) -> Location:
- """
- Returns the source location the operation was defined or derived from.
- """
- @property
- def name(self) -> str: ...
- @property
- def operands(self) -> OpOperandList: ...
- @property
- def parent(self) -> _OperationBase | None: ...
- @property
- def regions(self) -> RegionSequence: ...
- @property
- def result(self) -> OpResult:
- """
- Shortcut to get an op result if it has only one (throws an error otherwise).
- """
- @property
- def results(self) -> OpResultList:
- """
- Returns the List of Operation results.
- """
-
-_TOperation = TypeVar("_TOperation", bound=_OperationBase)
-
-class AffineExpr:
- @staticmethod
- @overload
- def get_add(arg0: AffineExpr, arg1: AffineExpr) -> AffineAddExpr:
- """
- Gets an affine expression containing a sum of two expressions.
- """
- @staticmethod
- @overload
- def get_add(arg0: int, arg1: AffineExpr) -> AffineAddExpr:
- """
- Gets an affine expression containing a sum of a constant and another expression.
- """
- @staticmethod
- @overload
- def get_add(arg0: AffineExpr, arg1: int) -> AffineAddExpr:
- """
- Gets an affine expression containing a sum of an expression and a constant.
- """
- @staticmethod
- @overload
- def get_ceil_div(arg0: AffineExpr, arg1: AffineExpr) -> AffineCeilDivExpr:
- """
- Gets an affine expression containing the rounded-up result of dividing one expression by another.
- """
- @staticmethod
- @overload
- def get_ceil_div(arg0: int, arg1: AffineExpr) -> AffineCeilDivExpr:
- """
- Gets a semi-affine expression containing the rounded-up result of dividing a constant by an expression.
- """
- @staticmethod
- @overload
- def get_ceil_div(arg0: AffineExpr, arg1: int) -> AffineCeilDivExpr:
- """
- Gets an affine expression containing the rounded-up result of dividing an expression by a constant.
- """
- @staticmethod
- def get_constant(
- value: int, context: Context | None = None
- ) -> AffineConstantExpr:
- """
- Gets a constant affine expression with the given value.
- """
- @staticmethod
- def get_dim(position: int, context: Context | None = None) -> AffineDimExpr:
- """
- Gets an affine expression of a dimension at the given position.
- """
- @staticmethod
- @overload
- def get_floor_div(arg0: AffineExpr, arg1: AffineExpr) -> AffineFloorDivExpr:
- """
- Gets an affine expression containing the rounded-down result of dividing one expression by another.
- """
- @staticmethod
- @overload
- def get_floor_div(arg0: int, arg1: AffineExpr) -> AffineFloorDivExpr:
- """
- Gets a semi-affine expression containing the rounded-down result of dividing a constant by an expression.
- """
- @staticmethod
- @overload
- def get_floor_div(arg0: AffineExpr, arg1: int) -> AffineFloorDivExpr:
- """
- Gets an affine expression containing the rounded-down result of dividing an expression by a constant.
- """
- @staticmethod
- @overload
- def get_mod(arg0: AffineExpr, arg1: AffineExpr) -> AffineModExpr:
- """
- Gets an affine expression containing the modulo of dividing one expression by another.
- """
- @staticmethod
- @overload
- def get_mod(arg0: int, arg1: AffineExpr) -> AffineModExpr:
- """
- Gets a semi-affine expression containing the modulo of dividing a constant by an expression.
- """
- @staticmethod
- @overload
- def get_mod(arg0: AffineExpr, arg1: int) -> AffineModExpr:
- """
- Gets an affine expression containing the module of dividingan expression by a constant.
- """
- @staticmethod
- @overload
- def get_mul(arg0: AffineExpr, arg1: AffineExpr) -> AffineMulExpr:
- """
- Gets an affine expression containing a product of two expressions.
- """
- @staticmethod
- @overload
- def get_mul(arg0: int, arg1: AffineExpr) -> AffineMulExpr:
- """
- Gets an affine expression containing a product of a constant and another expression.
- """
- @staticmethod
- @overload
- def get_mul(arg0: AffineExpr, arg1: int) -> AffineMulExpr:
- """
- Gets an affine expression containing a product of an expression and a constant.
- """
- @staticmethod
- def get_symbol(
- position: int, context: Context | None = None
- ) -> AffineSymbolExpr:
- """
- Gets an affine expression of a symbol at the given position.
- """
- def _CAPICreate(self) -> AffineExpr: ...
- @overload
- def __add__(self, arg0: AffineExpr) -> AffineAddExpr: ...
- @overload
- def __add__(self, arg0: int) -> AffineAddExpr: ...
- @overload
- def __eq__(self, arg0: AffineExpr) -> bool: ...
- @overload
- def __eq__(self, arg0: Any) -> bool: ...
- def __hash__(self) -> int: ...
- @overload
- def __mod__(self, arg0: AffineExpr) -> AffineModExpr: ...
- @overload
- def __mod__(self, arg0: int) -> AffineModExpr: ...
- @overload
- def __mul__(self, arg0: AffineExpr) -> AffineMulExpr: ...
- @overload
- def __mul__(self, arg0: int) -> AffineMulExpr: ...
- def __radd__(self, arg0: int) -> AffineAddExpr: ...
- def __rmod__(self, arg0: int) -> AffineModExpr: ...
- def __rmul__(self, arg0: int) -> AffineMulExpr: ...
- def __rsub__(self, arg0: int) -> AffineAddExpr: ...
- @overload
- def __sub__(self, arg0: AffineExpr) -> AffineAddExpr: ...
- @overload
- def __sub__(self, arg0: int) -> AffineAddExpr: ...
- def compose(self, arg0: AffineMap) -> AffineExpr: ...
- def dump(self) -> None:
- """
- Dumps a debug representation of the object to stderr.
- """
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def context(self) -> Context: ...
-
-class Attribute:
- @staticmethod
- def parse(asm: str | bytes, context: Context | None = None) -> Attribute:
- """
- Parses an attribute from an assembly form. Raises an MLIRError on failure.
- """
- def _CAPICreate(self) -> Attribute: ...
- @overload
- def __eq__(self, arg0: Attribute) -> bool: ...
- @overload
- def __eq__(self, arg0: object) -> bool: ...
- def __hash__(self) -> int: ...
- def __init__(self, cast_from_type: Attribute) -> None:
- """
- Casts the passed attribute to the generic Attribute
- """
- def __str__(self) -> str:
- """
- Returns the assembly form of the Attribute.
- """
- def dump(self) -> None:
- """
- Dumps a debug representation of the object to stderr.
- """
- def get_named(self, arg0: str) -> NamedAttribute:
- """
- Binds a name to the attribute
- """
- def maybe_downcast(self) -> Any: ...
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def context(self) -> Context:
- """
- Context that owns the Attribute
- """
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Type:
- @staticmethod
- def parse(asm: str | bytes, context: Context | None = None) -> Type:
- """
- Parses the assembly form of a type.
-
- Returns a Type object or raises an MLIRError if the type cannot be parsed.
-
- See also: https://mlir.llvm.org/docs/LangRef/#type-system
- """
- def _CAPICreate(self) -> Type: ...
- @overload
- def __eq__(self, arg0: Type) -> bool: ...
- @overload
- def __eq__(self, arg0: object) -> bool: ...
- def __hash__(self) -> int: ...
- def __init__(self, cast_from_type: Type) -> None:
- """
- Casts the passed type to the generic Type
- """
- def __str__(self) -> str:
- """
- Returns the assembly form of the type.
- """
- def dump(self) -> None:
- """
- Dumps a debug representation of the object to stderr.
- """
- def maybe_downcast(self) -> Any: ...
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def context(self) -> Context:
- """
- Context that owns the Type
- """
- @property
- def typeid(self) -> TypeID: ...
-
-class Value:
- def _CAPICreate(self) -> Value: ...
- @overload
- def __eq__(self, arg0: Value) -> bool: ...
- @overload
- def __eq__(self, arg0: object) -> bool: ...
- def __hash__(self) -> int: ...
- def __init__(self, value: Value) -> None: ...
- def __str__(self) -> str:
- """
- Returns the string form of the value.
-
- If the value is a block argument, this is the assembly form of its type and the
- position in the argument List. If the value is an operation result, this is
- equivalent to printing the operation that produced it.
- """
- def dump(self) -> None:
- """
- Dumps a debug representation of the object to stderr.
- """
- @overload
- def get_name(self, use_local_scope: bool = False, use_name_loc_as_prefix: bool = True) -> str: ...
- @overload
- def get_name(self, state: AsmState) -> str:
- """
- Returns the string form of value as an operand (i.e., the ValueID).
- """
- def maybe_downcast(self) -> Any: ...
- def replace_all_uses_with(self, arg0: Value) -> None:
- """
- Replace all uses of value with the new value, updating anything in
- the IR that uses 'self' to use the other value instead.
- """
- def set_type(self, type: Type) -> None: ...
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def context(self) -> Context:
- """
- Context in which the value lives.
- """
- @property
- def owner(self) -> _OperationBase: ...
- @property
- def type(self) -> Type: ...
- @property
- def uses(self) -> OpOperandIterator: ...
-
-class AffineAddExpr(AffineBinaryExpr):
- @staticmethod
- def get(arg0: AffineExpr, arg1: AffineExpr) -> AffineAddExpr: ...
- @staticmethod
- def isinstance(other: AffineExpr) -> bool: ...
- def __init__(self, expr: AffineExpr) -> None: ...
-
-class AffineBinaryExpr(AffineExpr):
- @staticmethod
- def isinstance(other: AffineExpr) -> bool: ...
- def __init__(self, expr: AffineExpr) -> None: ...
- @property
- def lhs(self) -> AffineExpr: ...
- @property
- def rhs(self) -> AffineExpr: ...
-
-class AffineCeilDivExpr(AffineBinaryExpr):
- @staticmethod
- def get(arg0: AffineExpr, arg1: AffineExpr) -> AffineCeilDivExpr: ...
- @staticmethod
- def isinstance(other: AffineExpr) -> bool: ...
- def __init__(self, expr: AffineExpr) -> None: ...
-
-class AffineConstantExpr(AffineExpr):
- @staticmethod
- def get(value: int, context: Context | None = None) -> AffineConstantExpr: ...
- @staticmethod
- def isinstance(other: AffineExpr) -> bool: ...
- def __init__(self, expr: AffineExpr) -> None: ...
- @property
- def value(self) -> int: ...
-
-class AffineDimExpr(AffineExpr):
- @staticmethod
- def get(position: int, context: Context | None = None) -> AffineDimExpr: ...
- @staticmethod
- def isinstance(other: AffineExpr) -> bool: ...
- def __init__(self, expr: AffineExpr) -> None: ...
- @property
- def position(self) -> int: ...
-
-class AffineExprList:
- def __add__(self, arg0: AffineExprList) -> list[AffineExpr]: ...
-
-class AffineFloorDivExpr(AffineBinaryExpr):
- @staticmethod
- def get(arg0: AffineExpr, arg1: AffineExpr) -> AffineFloorDivExpr: ...
- @staticmethod
- def isinstance(other: AffineExpr) -> bool: ...
- def __init__(self, expr: AffineExpr) -> None: ...
-
-class AffineMap:
- @staticmethod
- def compress_unused_symbols(
- arg0: list, arg1: Context | None
- ) -> list[AffineMap]: ...
- @staticmethod
- def get(
- dim_count: int,
- symbol_count: int,
- exprs: list,
- context: Context | None = None,
- ) -> AffineMap:
- """
- Gets a map with the given expressions as results.
- """
- @staticmethod
- def get_constant(value: int, context: Context | None = None) -> AffineMap:
- """
- Gets an affine map with a single constant result
- """
- @staticmethod
- def get_empty(context: Context | None = None) -> AffineMap:
- """
- Gets an empty affine map.
- """
- @staticmethod
- def get_identity(n_dims: int, context: Context | None = None) -> AffineMap:
- """
- Gets an identity map with the given number of dimensions.
- """
- @staticmethod
- def get_minor_identity(
- n_dims: int, n_results: int, context: Context | None = None
- ) -> AffineMap:
- """
- Gets a minor identity map with the given number of dimensions and results.
- """
- @staticmethod
- def get_permutation(
- permutation: list[int], context: Context | None = None
- ) -> AffineMap:
- """
- Gets an affine map that permutes its inputs.
- """
- def _CAPICreate(self) -> AffineMap: ...
- @overload
- def __eq__(self, arg0: AffineMap) -> bool: ...
- @overload
- def __eq__(self, arg0: object) -> bool: ...
- def __hash__(self) -> int: ...
- def dump(self) -> None:
- """
- Dumps a debug representation of the object to stderr.
- """
- def get_major_submap(self, n_results: int) -> AffineMap: ...
- def get_minor_submap(self, n_results: int) -> AffineMap: ...
- def get_submap(self, result_positions: list[int]) -> AffineMap: ...
- def replace(
- self,
- expr: AffineExpr,
- replacement: AffineExpr,
- n_result_dims: int,
- n_result_syms: int,
- ) -> AffineMap: ...
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def context(self) -> Context:
- """
- Context that owns the Affine Map
- """
- @property
- def is_permutation(self) -> bool: ...
- @property
- def is_projected_permutation(self) -> bool: ...
- @property
- def n_dims(self) -> int: ...
- @property
- def n_inputs(self) -> int: ...
- @property
- def n_symbols(self) -> int: ...
- @property
- def results(self) -> AffineMapExprList: ...
-
-class AffineMapAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(affine_map: AffineMap) -> AffineMapAttr:
- """
- Gets an attribute wrapping an AffineMap.
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class AffineModExpr(AffineBinaryExpr):
- @staticmethod
- def get(arg0: AffineExpr, arg1: AffineExpr) -> AffineModExpr: ...
- @staticmethod
- def isinstance(other: AffineExpr) -> bool: ...
- def __init__(self, expr: AffineExpr) -> None: ...
-
-class AffineMulExpr(AffineBinaryExpr):
- @staticmethod
- def get(arg0: AffineExpr, arg1: AffineExpr) -> AffineMulExpr: ...
- @staticmethod
- def isinstance(other: AffineExpr) -> bool: ...
- def __init__(self, expr: AffineExpr) -> None: ...
-
-class AffineSymbolExpr(AffineExpr):
- @staticmethod
- def get(position: int, context: Context | None = None) -> AffineSymbolExpr: ...
- @staticmethod
- def isinstance(other: AffineExpr) -> bool: ...
- def __init__(self, expr: AffineExpr) -> None: ...
- @property
- def position(self) -> int: ...
-
-class ArrayAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(attributes: list, context: Context | None = None) -> ArrayAttr:
- """
- Gets a uniqued Array attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __add__(self, arg0: list) -> ArrayAttr: ...
- def __getitem__(self, arg0: int) -> Attribute: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __iter__(
- self,
- ) -> ArrayAttributeIterator: ...
- def __len__(self) -> int: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class ArrayAttributeIterator:
- def __iter__(self) -> ArrayAttributeIterator: ...
- def __next__(self) -> Attribute: ...
-
-class AsmState:
- @overload
- def __init__(self, value: Value, use_local_scope: bool = False) -> None: ...
- @overload
- def __init__(self, op: _OperationBase, use_local_scope: bool = False) -> None: ...
-
-class AttrBuilder:
- @staticmethod
- def contains(arg0: str) -> bool: ...
- @staticmethod
- def get(arg0: str) -> Callable: ...
- @staticmethod
- def insert(
- attribute_kind: str, attr_builder: Callable, replace: bool = False
- ) -> None:
- """
- Register an attribute builder for building MLIR attributes from python values.
- """
-
-class BF16Type(Type):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> BF16Type:
- """
- Create a bf16 type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Block:
- @staticmethod
- def create_at_start(
- parent: Region,
- arg_types: list[Type],
- arg_locs: Sequence | None = None,
- ) -> Block:
- """
- Creates and returns a new Block at the beginning of the given region (with given argument types and locations).
- """
- @overload
- def __eq__(self, arg0: Block) -> bool: ...
- @overload
- def __eq__(self, arg0: Any) -> bool: ...
- def __hash__(self) -> int: ...
- def __iter__(self) -> OperationIterator:
- """
- Iterates over operations in the block.
- """
- def __str__(self) -> str:
- """
- Returns the assembly form of the block.
- """
- def append(self, operation: _OperationBase) -> None:
- """
- Appends an operation to this block. If the operation is currently in another block, it will be moved.
- """
- def append_to(self, arg0: Region) -> None:
- """
- Append this block to a region, transferring ownership if necessary
- """
- def create_after(self, *args, arg_locs: Sequence | None = None) -> Block:
- """
- Creates and returns a new Block after this block (with given argument types and locations).
- """
- def create_before(self, *args, arg_locs: Sequence | None = None) -> Block:
- """
- Creates and returns a new Block before this block (with given argument types and locations).
- """
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def arguments(self) -> BlockArgumentList:
- """
- Returns a List of block arguments.
- """
- @property
- def operations(self) -> OperationList:
- """
- Returns a forward-optimized sequence of operations.
- """
- @property
- def owner(self) -> OpView:
- """
- Returns the owning operation of this block.
- """
- @property
- def region(self) -> Region:
- """
- Returns the owning region of this block.
- """
-
-class BlockArgument(Value):
- @staticmethod
- def isinstance(other_value: Value) -> bool: ...
- def __init__(self, value: Value) -> None: ...
- def maybe_downcast(self) -> Any: ...
- def set_type(self, type: Type) -> None: ...
- @property
- def arg_number(self) -> int: ...
- @property
- def owner(self) -> Block: ...
-
-class BlockArgumentList:
- @overload
- def __getitem__(self, arg0: int) -> BlockArgument: ...
- @overload
- def __getitem__(self, arg0: slice) -> BlockArgumentList: ...
- def __len__(self) -> int: ...
- def __add__(self, arg0: BlockArgumentList) -> list[BlockArgument]: ...
- @property
- def types(self) -> list[Type]: ...
-
-class BlockIterator:
- def __iter__(self) -> BlockIterator: ...
- def __next__(self) -> Block: ...
-
-class BlockList:
- def __getitem__(self, arg0: int) -> Block: ...
- def __iter__(self) -> BlockIterator: ...
- def __len__(self) -> int: ...
- def append(self, *args, arg_locs: Sequence | None = None) -> Block:
- """
- Appends a new block, with argument types as positional args.
-
- Returns:
- The created block.
- """
-
-class BoolAttr(Attribute):
- @staticmethod
- def get(value: bool, context: Context | None = None) -> BoolAttr:
- """
- Gets an uniqued bool attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __bool__(self: Attribute) -> bool:
- """
- Converts the value of the bool attribute to a Python bool
- """
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
- @property
- def value(self) -> bool:
- """
- Returns the value of the bool attribute
- """
-
-class ComplexType(Type):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(arg0: Type) -> ComplexType:
- """
- Create a complex type
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def element_type(self) -> Type:
- """
- Returns element type.
- """
- @property
- def typeid(self) -> TypeID: ...
-
-class Context:
- current: ClassVar[Context] = ... # read-only
- allow_unregistered_dialects: bool
- @staticmethod
- def _get_live_count() -> int: ...
- def _CAPICreate(self) -> object: ...
- def __enter__(self) -> Context: ...
- def __exit__(self, arg0: Any, arg1: Any, arg2: Any) -> None: ...
- def __init__(self) -> None: ...
- def _clear_live_operations(self) -> int: ...
- def _get_context_again(self) -> Context: ...
- def _get_live_module_count(self) -> int: ...
- def _get_live_operation_count(self) -> int: ...
- def _get_live_operation_objects(self) -> list[Operation]: ...
- def append_dialect_registry(self, registry: DialectRegistry) -> None: ...
- def attach_diagnostic_handler(
- self, callback: Callable[[Diagnostic], bool]
- ) -> DiagnosticHandler:
- """
- Attaches a diagnostic handler that will receive callbacks
- """
- def enable_multithreading(self, enable: bool) -> None: ...
- def get_dialect_descriptor(self, dialect_name: str) -> DialectDescriptor:
- """
- Gets or loads a dialect by name, returning its descriptor object
- """
- def is_registered_operation(self, operation_name: str) -> bool: ...
- def load_all_available_dialects(self) -> None: ...
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def d(self) -> Dialects:
- """
- Alias for 'dialect'
- """
- @property
- def dialects(self) -> Dialects:
- """
- Gets a container for accessing dialects by name
- """
-
-class DenseBoolArrayAttr(Attribute):
- @staticmethod
- def get(
- values: Sequence[bool], context: Context | None = None
- ) -> DenseBoolArrayAttr:
- """
- Gets a uniqued dense array attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __add__(self, arg0: list) -> DenseBoolArrayAttr: ...
- def __getitem__(self, arg0: int) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __iter__(
- self,
- ) -> DenseBoolArrayIterator: ...
- def __len__(self) -> int: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseBoolArrayIterator:
- def __iter__(self) -> DenseBoolArrayIterator: ...
- def __next__(self) -> bool: ...
-
-class DenseElementsAttr(Attribute):
- @staticmethod
- def get(
- array: Buffer,
- signless: bool = True,
- type: Type | None = None,
- shape: list[int] | None = None,
- context: Context | None = None,
- ) -> DenseElementsAttr:
- """
- Gets a DenseElementsAttr from a Python buffer or array.
-
- When `type` is not provided, then some limited type inferencing is done based
- on the buffer format. Support presently exists for 8/16/32/64 signed and
- unsigned integers and float16/float32/float64. DenseElementsAttrs of these
- types can also be converted back to a corresponding buffer.
-
- For conversions outside of these types, a `type=` must be explicitly provided
- and the buffer contents must be bit-castable to the MLIR internal
- representation:
-
- * Integer types (except for i1): the buffer must be byte aligned to the
- next byte boundary.
- * Floating point types: Must be bit-castable to the given floating point
- size.
- * i1 (bool): Bit packed into 8bit words where the bit pattern matches a
- row major ordering. An arbitrary Numpy `bool_` array can be bit packed to
- this specification with: `np.packbits(ary, axis=None, bitorder='little')`.
-
- If a single element buffer is passed (or for i1, a single byte with value 0
- or 255), then a splat will be created.
-
- Args:
- array: The array or buffer to convert.
- signless: If inferring an appropriate MLIR type, use signless types for
- integers (defaults True).
- type: Skips inference of the MLIR element type and uses this instead. The
- storage size must be consistent with the actual contents of the buffer.
- shape: Overrides the shape of the buffer when constructing the MLIR
- shaped type. This is needed when the physical and logical shape differ (as
- for i1).
- context: Explicit context, if not from context manager.
-
- Returns:
- DenseElementsAttr on success.
-
- Raises:
- ValueError: If the type of the buffer or array cannot be matched to an MLIR
- type or if the buffer does not meet expectations.
- """
- @staticmethod
- def get_splat(shaped_type: Type, element_attr: Attribute) -> DenseElementsAttr:
- """
- Gets a DenseElementsAttr where all values are the same
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __len__(self) -> int: ...
- def get_splat_value(self) -> Attribute: ...
- @property
- def is_splat(self) -> bool: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseF32ArrayAttr(Attribute):
- @staticmethod
- def get(
- values: Sequence[float], context: Context | None = None
- ) -> DenseF32ArrayAttr:
- """
- Gets a uniqued dense array attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __add__(self, arg0: list) -> DenseF32ArrayAttr: ...
- def __getitem__(self, arg0: int) -> float: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __iter__(
- self,
- ) -> DenseF32ArrayIterator: ...
- def __len__(self) -> int: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseF32ArrayIterator:
- def __iter__(self) -> DenseF32ArrayIterator: ...
- def __next__(self) -> float: ...
-
-class DenseF64ArrayAttr(Attribute):
- @staticmethod
- def get(
- values: Sequence[float], context: Context | None = None
- ) -> DenseF64ArrayAttr:
- """
- Gets a uniqued dense array attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __add__(self, arg0: list) -> DenseF64ArrayAttr: ...
- def __getitem__(self, arg0: int) -> float: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __iter__(
- self,
- ) -> DenseF64ArrayIterator: ...
- def __len__(self) -> int: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseF64ArrayIterator:
- def __iter__(self) -> DenseF64ArrayIterator: ...
- def __next__(self) -> float: ...
-
-class DenseFPElementsAttr(DenseElementsAttr):
- @staticmethod
- def get(
- array: Buffer,
- signless: bool = True,
- type: Type | None = None,
- shape: list[int] | None = None,
- context: Context | None = None,
- ) -> DenseFPElementsAttr: ...
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __getitem__(self, arg0: int) -> float: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseI16ArrayAttr(Attribute):
- @staticmethod
- def get(values: Sequence[int], context: Context | None = None) -> DenseI16ArrayAttr:
- """
- Gets a uniqued dense array attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __add__(self, arg0: list) -> DenseI16ArrayAttr: ...
- def __getitem__(self, arg0: int) -> int: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __iter__(
- self,
- ) -> DenseI16ArrayIterator: ...
- def __len__(self) -> int: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseI16ArrayIterator:
- def __iter__(self) -> DenseI16ArrayIterator: ...
- def __next__(self) -> int: ...
-
-class DenseI32ArrayAttr(Attribute):
- @staticmethod
- def get(values: Sequence[int], context: Context | None = None) -> DenseI32ArrayAttr:
- """
- Gets a uniqued dense array attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __add__(self, arg0: list) -> DenseI32ArrayAttr: ...
- def __getitem__(self, arg0: int) -> int: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __iter__(
- self,
- ) -> DenseI32ArrayIterator: ...
- def __len__(self) -> int: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseI32ArrayIterator:
- def __iter__(self) -> DenseI32ArrayIterator: ...
- def __next__(self) -> int: ...
-
-class DenseI64ArrayAttr(Attribute):
- @staticmethod
- def get(values: Sequence[int], context: Context | None = None) -> DenseI64ArrayAttr:
- """
- Gets a uniqued dense array attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __add__(self, arg0: list) -> DenseI64ArrayAttr: ...
- def __getitem__(self, arg0: int) -> int: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __iter__(
- self,
- ) -> DenseI16ArrayIterator: ...
- def __len__(self) -> int: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseI64ArrayIterator:
- def __iter__(self) -> DenseI64ArrayIterator: ...
- def __next__(self) -> int: ...
-
-class DenseI8ArrayAttr(Attribute):
- @staticmethod
- def get(values: Sequence[int], context: Context | None = None) -> DenseI8ArrayAttr:
- """
- Gets a uniqued dense array attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __add__(self, arg0: list) -> DenseI8ArrayAttr: ...
- def __getitem__(self, arg0: int) -> int: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __iter__(
- self,
- ) -> DenseI8ArrayIterator: ...
- def __len__(self) -> int: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseI8ArrayIterator:
- def __iter__(self) -> DenseI8ArrayIterator: ...
- def __next__(self) -> int: ...
-
-class DenseIntElementsAttr(DenseElementsAttr):
- @staticmethod
- def get(
- array: Buffer,
- signless: bool = True,
- type: Type | None = None,
- shape: list[int] | None = None,
- context: Context | None = None,
- ) -> DenseIntElementsAttr: ...
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __getitem__(self, arg0: int) -> int: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class DenseResourceElementsAttr(Attribute):
- @staticmethod
- def get_from_buffer(
- array: Buffer,
- name: str,
- type: Type,
- alignment: int | None = None,
- is_mutable: bool = False,
- context: Context | None = None,
- ) -> DenseResourceElementsAttr:
- """
- Gets a DenseResourceElementsAttr from a Python buffer or array.
-
- This function does minimal validation or massaging of the data, and it is
- up to the caller to ensure that the buffer meets the characteristics
- implied by the shape.
-
- The backing buffer and any user objects will be retained for the lifetime
- of the resource blob. This is typically bounded to the context but the
- resource can have a shorter lifespan depending on how it is used in
- subsequent processing.
-
- Args:
- buffer: The array or buffer to convert.
- name: Name to provide to the resource (may be changed upon collision).
- type: The explicit ShapedType to construct the attribute with.
- context: Explicit context, if not from context manager.
-
- Returns:
- DenseResourceElementsAttr on success.
-
- Raises:
- ValueError: If the type of the buffer or array cannot be matched to an MLIR
- type or if the buffer does not meet expectations.
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Diagnostic:
- @property
- def location(self) -> Location: ...
- @property
- def message(self) -> str: ...
- @property
- def notes(self) -> tuple[Diagnostic]: ...
- @property
- def severity(self) -> DiagnosticSeverity: ...
-
-class DiagnosticHandler:
- def __enter__(self) -> DiagnosticHandler: ...
- def __exit__(self, arg0: object, arg1: object, arg2: object) -> None: ...
- def detach(self) -> None: ...
- @property
- def attached(self) -> bool: ...
- @property
- def had_error(self) -> bool: ...
-
-class DiagnosticInfo:
- def __init__(self, arg0: Diagnostic) -> None: ...
- @property
- def location(self) -> Location: ...
- @property
- def message(self) -> str: ...
- @property
- def notes(self) -> list[DiagnosticInfo]: ...
- @property
- def severity(self) -> DiagnosticSeverity: ...
-
-class DiagnosticSeverity:
- """
- Members:
-
- ERROR
-
- WARNING
-
- NOTE
-
- REMARK
- """
-
- ERROR: ClassVar[DiagnosticSeverity] # value = <DiagnosticSeverity.ERROR: 0>
- NOTE: ClassVar[DiagnosticSeverity] # value = <DiagnosticSeverity.NOTE: 2>
- REMARK: ClassVar[DiagnosticSeverity] # value = <DiagnosticSeverity.REMARK: 3>
- WARNING: ClassVar[DiagnosticSeverity] # value = <DiagnosticSeverity.WARNING: 1>
- __members__: ClassVar[
- dict[str, DiagnosticSeverity]
- ] # value = {'ERROR': <DiagnosticSeverity.ERROR: 0>, 'WARNING': <DiagnosticSeverity.WARNING: 1>, 'NOTE': <DiagnosticSeverity.NOTE: 2>, 'REMARK': <DiagnosticSeverity.REMARK: 3>}
- def __eq__(self, other: Any) -> bool: ...
- def __getstate__(self) -> int: ...
- def __hash__(self) -> int: ...
- def __index__(self) -> int: ...
- def __init__(self, value: int) -> None: ...
- def __int__(self) -> int: ...
- def __ne__(self, other: Any) -> bool: ...
- def __setstate__(self, state: int) -> None: ...
- @property
- def name(self) -> str: ...
- @property
- def value(self) -> int: ...
-
-class Dialect:
- def __init__(self, descriptor: DialectDescriptor) -> None: ...
- @property
- def descriptor(self) -> DialectDescriptor: ...
-
-class DialectDescriptor:
- @property
- def namespace(self) -> str: ...
-
-class DialectRegistry:
- def _CAPICreate(self) -> DialectRegistry: ...
- def __init__(self) -> None: ...
- @property
- def _CAPIPtr(self) -> object: ...
-
-class Dialects:
- def __getattr__(self, arg0: str) -> Dialect: ...
- def __getitem__(self, arg0: str) -> Dialect: ...
-
-class DictAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(value: dict = {}, context: Context | None = None) -> DictAttr:
- """
- Gets an uniqued Dict attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __contains__(self, arg0: str) -> bool: ...
- @overload
- def __getitem__(self, arg0: str) -> Attribute: ...
- @overload
- def __getitem__(self, arg0: int) -> NamedAttribute: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __len__(self) -> int: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class FloatType(Type):
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def width(self) -> int:
- """
- Returns the width of the floating-point type.
- """
-
-class F16Type(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> F16Type:
- """
- Create a f16 type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class F32Type(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> F32Type:
- """
- Create a f32 type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class F64Type(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> F64Type:
- """
- Create a f64 type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class FlatSymbolRefAttr(Attribute):
- @staticmethod
- def get(value: str, context: Context | None = None) -> FlatSymbolRefAttr:
- """
- Gets a uniqued FlatSymbolRef attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
- @property
- def value(self) -> str:
- """
- Returns the value of the FlatSymbolRef attribute as a string
- """
-
-class Float4E2M1FNType(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float4E2M1FNType:
- """
- Create a float4_e2m1fn type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float6E2M3FNType(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float6E2M3FNType:
- """
- Create a float6_e2m3fn type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float6E3M2FNType(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float6E3M2FNType:
- """
- Create a float6_e3m2fn type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float8E3M4Type(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float8E3M4Type:
- """
- Create a float8_e3m4 type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float8E4M3B11FNUZType(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float8E4M3B11FNUZType:
- """
- Create a float8_e4m3b11fnuz type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float8E4M3FNType(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float8E4M3FNType:
- """
- Create a float8_e4m3fn type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float8E4M3FNUZType(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float8E4M3FNUZType:
- """
- Create a float8_e4m3fnuz type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float8E4M3Type(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float8E4M3Type:
- """
- Create a float8_e4m3 type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float8E5M2FNUZType(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float8E5M2FNUZType:
- """
- Create a float8_e5m2fnuz type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float8E5M2Type(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float8E5M2Type:
- """
- Create a float8_e5m2 type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Float8E8M0FNUType(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> Float8E8M0FNUType:
- """
- Create a float8_e8m0fnu type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class FloatAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(type: Type, value: float, loc: Location | None = None) -> FloatAttr:
- """
- Gets an uniqued float point attribute associated to a type
- """
- @staticmethod
- def get_f32(value: float, context: Context | None = None) -> FloatAttr:
- """
- Gets an uniqued float point attribute associated to a f32 type
- """
- @staticmethod
- def get_f64(value: float, context: Context | None = None) -> FloatAttr:
- """
- Gets an uniqued float point attribute associated to a f64 type
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __float__(self: Attribute) -> float:
- """
- Converts the value of the float attribute to a Python float
- """
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
- @property
- def value(self) -> float:
- """
- Returns the value of the float attribute
- """
-
-class FloatTF32Type(FloatType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> FloatTF32Type:
- """
- Create a tf32 type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class FunctionType(Type):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(
- inputs: list[Type], results: list[Type], context: Context | None = None
- ) -> FunctionType:
- """
- Gets a FunctionType from a List of input and result types
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def inputs(self) -> list:
- """
- Returns the List of input types in the FunctionType.
- """
- @property
- def results(self) -> list:
- """
- Returns the List of result types in the FunctionType.
- """
- @property
- def typeid(self) -> TypeID: ...
-
-class IndexType(Type):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> IndexType:
- """
- Create a index type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class InferShapedTypeOpInterface:
- def __init__(self, object: object, context: Context | None = None) -> None:
- """
- Creates an interface from a given operation/opview object or from a
- subclass of OpView. Raises ValueError if the operation does not implement the
- interface.
- """
- def inferReturnTypeComponents(
- self,
- operands: list | None = None,
- attributes: Attribute | None = None,
- properties=None,
- regions: list[Region] | None = None,
- context: Context | None = None,
- loc: Location | None = None,
- ) -> list[ShapedTypeComponents]:
- """
- Given the arguments required to build an operation, attempts to infer
- its return shaped type components. Raises ValueError on failure.
- """
- @property
- def operation(self) -> Operation:
- """
- Returns an Operation for which the interface was constructed.
- """
- @property
- def opview(self) -> OpView:
- """
- Returns an OpView subclass _instance_ for which the interface was
- constructed
- """
-
-class InferTypeOpInterface:
- def __init__(self, object: object, context: Context | None = None) -> None:
- """
- Creates an interface from a given operation/opview object or from a
- subclass of OpView. Raises ValueError if the operation does not implement the
- interface.
- """
- def inferReturnTypes(
- self,
- operands: list | None = None,
- attributes: Attribute | None = None,
- properties=None,
- regions: list[Region] | None = None,
- context: Context | None = None,
- loc: Location | None = None,
- ) -> list[Type]:
- """
- Given the arguments required to build an operation, attempts to infer
- its return types. Raises ValueError on failure.
- """
- @property
- def operation(self) -> Operation:
- """
- Returns an Operation for which the interface was constructed.
- """
- @property
- def opview(self) -> OpView:
- """
- Returns an OpView subclass _instance_ for which the interface was
- constructed
- """
-
-class InsertionPoint:
- current: ClassVar[InsertionPoint] = ... # read-only
- @staticmethod
- def at_block_begin(block: Block) -> InsertionPoint:
- """
- Inserts at the beginning of the block.
- """
- @staticmethod
- def at_block_terminator(block: Block) -> InsertionPoint:
- """
- Inserts before the block terminator.
- """
- def __enter__(self) -> InsertionPoint: ...
- def __exit__(self, arg0: Any, arg1: Any, arg2: Any) -> None: ...
- @overload
- def __init__(self, block: Block) -> None:
- """
- Inserts after the last operation but still inside the block.
- """
- @overload
- def __init__(self, beforeOperation: _OperationBase) -> None:
- """
- Inserts before a referenced operation.
- """
- def insert(self, operation: _OperationBase) -> None:
- """
- Inserts an operation.
- """
- @property
- def block(self) -> Block:
- """
- Returns the block that this InsertionPoint points to.
- """
- @property
- def ref_operation(self) -> _OperationBase | None:
- """
- The reference operation before which new operations are inserted, or None if the insertion point is at the end of the block
- """
-
-class IntegerAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(type: Type, value: int) -> IntegerAttr:
- """
- Gets an uniqued integer attribute associated to a type
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- def __int__(self) -> int:
- """
- Converts the value of the integer attribute to a Python int
- """
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
- @property
- def value(self) -> int:
- """
- Returns the value of the integer attribute
- """
-
-class IntegerSet:
- @staticmethod
- def get(
- num_dims: int,
- num_symbols: int,
- exprs: list,
- eq_flags: list[bool],
- context: Context | None = None,
- ) -> IntegerSet: ...
- @staticmethod
- def get_empty(
- num_dims: int, num_symbols: int, context: Context | None = None
- ) -> IntegerSet: ...
- def _CAPICreate(self) -> IntegerSet: ...
- @overload
- def __eq__(self, arg0: IntegerSet) -> bool: ...
- @overload
- def __eq__(self, arg0: object) -> bool: ...
- def __hash__(self) -> int: ...
- def dump(self) -> None:
- """
- Dumps a debug representation of the object to stderr.
- """
- def get_replaced(
- self,
- dim_exprs: list,
- symbol_exprs: list,
- num_result_dims: int,
- num_result_symbols: int,
- ) -> IntegerSet: ...
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def constraints(self) -> IntegerSetConstraintList: ...
- @property
- def context(self) -> Context: ...
- @property
- def is_canonical_empty(self) -> bool: ...
- @property
- def n_dims(self) -> int: ...
- @property
- def n_equalities(self) -> int: ...
- @property
- def n_inequalities(self) -> int: ...
- @property
- def n_inputs(self) -> int: ...
- @property
- def n_symbols(self) -> int: ...
-
-class IntegerSetAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(integer_set) -> IntegerSetAttr:
- """
- Gets an attribute wrapping an IntegerSet.
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class IntegerSetConstraint:
- def __init__(self, *args, **kwargs) -> None: ...
- @property
- def expr(self) -> AffineExpr: ...
- @property
- def is_eq(self) -> bool: ...
-
-class IntegerSetConstraintList:
- def __init__(self, *args, **kwargs) -> None: ...
- def __add__(self, arg0: IntegerSetConstraintList) -> list[IntegerSetConstraint]: ...
- @overload
- def __getitem__(self, arg0: int) -> IntegerSetConstraint: ...
- @overload
- def __getitem__(self, arg0: slice) -> IntegerSetConstraintList: ...
- def __len__(self) -> int: ...
-
-class IntegerType(Type):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get_signed(width: int, context: Context | None = None) -> IntegerType:
- """
- Create a signed integer type
- """
- @staticmethod
- def get_signless(width: int, context: Context | None = None) -> IntegerType:
- """
- Create a signless integer type
- """
- @staticmethod
- def get_unsigned(width: int, context: Context | None = None) -> IntegerType:
- """
- Create an unsigned integer type
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def is_signed(self) -> bool:
- """
- Returns whether this is a signed integer
- """
- @property
- def is_signless(self) -> bool:
- """
- Returns whether this is a signless integer
- """
- @property
- def is_unsigned(self) -> bool:
- """
- Returns whether this is an unsigned integer
- """
- @property
- def typeid(self) -> TypeID: ...
- @property
- def width(self) -> int:
- """
- Returns the width of the integer type
- """
-
-class Location:
- current: ClassVar[Location] = ... # read-only
- __hash__: ClassVar[None] = None
- @staticmethod
- def callsite(
- callee: Location, frames: Sequence[Location], context: Context | None = None
- ) -> Location:
- """
- Gets a Location representing a caller and callsite
- """
- @staticmethod
- def file(
- filename: str, line: int, col: int, context: Context | None = None
- ) -> Location:
- """
- Gets a Location representing a file, line and column
- """
- @staticmethod
- def from_attr(attribute: Attribute, context: Context | None = None) -> Location:
- """
- Gets a Location from a LocationAttr
- """
- @staticmethod
- def fused(
- locations: Sequence[Location],
- metadata: Attribute | None = None,
- context: Context | None = None,
- ) -> Location:
- """
- Gets a Location representing a fused location with optional metadata
- """
- @staticmethod
- def name(
- name: str,
- childLoc: Location | None = None,
- context: Context | None = None,
- ) -> Location:
- """
- Gets a Location representing a named location with optional child location
- """
- @staticmethod
- def unknown(context: Context | None = None) -> Location:
- """
- Gets a Location representing an unknown location
- """
- def _CAPICreate(self) -> Location: ...
- def __enter__(self) -> Location: ...
- @overload
- def __eq__(self, arg0: Location) -> bool: ...
- @overload
- def __eq__(self, arg0: Location) -> bool: ...
- def __exit__(self, arg0: object, arg1: object, arg2: object) -> None: ...
- def emit_error(self, message: str) -> None:
- """
- Emits an error at this location
- """
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def attr(self) -> Attribute:
- """
- Get the underlying LocationAttr
- """
- @property
- def context(self) -> Context:
- """
- Context that owns the Location
- """
-
-class MemRefType(ShapedType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(
- shape: list[int],
- element_type: Type,
- layout: Attribute = None,
- memory_space: Attribute = None,
- loc: Location | None = None,
- ) -> MemRefType:
- """
- Create a memref type
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def affine_map(self) -> AffineMap:
- """
- The layout of the MemRef type as an affine map.
- """
- @property
- def layout(self) -> Attribute:
- """
- The layout of the MemRef type.
- """
- @property
- def memory_space(self) -> Attribute | None:
- """
- Returns the memory space of the given MemRef type.
- """
- @property
- def typeid(self) -> TypeID: ...
- def get_strides_and_offset(self) -> tuple[list[int], int]:
- """
- The strides and offset of the MemRef type.
- """
-
-class Module:
- @staticmethod
- def create(loc: Location | None = None) -> Module:
- """
- Creates an empty module
- """
- @staticmethod
- def parse(asm: str | bytes, context: Context | None = None) -> Module:
- """
- Parses a module's assembly format from a string.
-
- Returns a new MlirModule or raises an MLIRError if the parsing fails.
-
- See also: https://mlir.llvm.org/docs/LangRef/
- """
- @staticmethod
- def parseFile(path: str, context: Context | None = None) -> Module:
- """
- Parses a module's assembly format from file.
-
- Returns a new MlirModule or raises an MLIRError if the parsing fails.
-
- See also: https://mlir.llvm.org/docs/LangRef/
- """
- def _CAPICreate(self) -> Any: ...
- def __str__(self) -> str:
- """
- Gets the assembly form of the operation with default options.
-
- If more advanced control over the assembly formatting or I/O options is needed,
- use the dedicated print or get_asm method, which supports keyword arguments to
- customize behavior.
- """
- def dump(self) -> None:
- """
- Dumps a debug representation of the object to stderr.
- """
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def body(self) -> Block:
- """
- Return the block for this module
- """
- @property
- def context(self) -> Context:
- """
- Context that created the Module
- """
- @property
- def operation(self) -> Operation:
- """
- Accesses the module as an operation
- """
-
-class MLIRError(Exception):
- def __init__(
- self, message: str, error_diagnostics: list[DiagnosticInfo]
- ) -> None: ...
-
-class NamedAttribute:
- @property
- def attr(self) -> Attribute:
- """
- The underlying generic attribute of the NamedAttribute binding
- """
- @property
- def name(self) -> str:
- """
- The name of the NamedAttribute binding
- """
-
-class NoneType(Type):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> NoneType:
- """
- Create a none type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class OpAttributeMap:
- def __contains__(self, arg0: str) -> bool: ...
- def __delitem__(self, arg0: str) -> None: ...
- @overload
- def __getitem__(self, arg0: str) -> Attribute: ...
- @overload
- def __getitem__(self, arg0: int) -> NamedAttribute: ...
- def __len__(self) -> int: ...
- def __setitem__(self, arg0: str, arg1: Attribute) -> None: ...
-
-class OpOperand:
- @property
- def operand_number(self) -> int: ...
- @property
- def owner(self) -> _OperationBase: ...
-
-class OpOperandIterator:
- def __iter__(self) -> OpOperandIterator: ...
- def __next__(self) -> OpOperand: ...
-
-class OpOperandList:
- def __add__(self, arg0: OpOperandList) -> list[Value]: ...
- @overload
- def __getitem__(self, arg0: int) -> Value: ...
- @overload
- def __getitem__(self, arg0: slice) -> OpOperandList: ...
- def __len__(self) -> int: ...
- def __setitem__(self, arg0: int, arg1: Value) -> None: ...
-
-class OpResult(Value):
- @staticmethod
- def isinstance(other_value: Value) -> bool: ...
- def __init__(self, value: Value) -> None: ...
- @staticmethod
- def isinstance(arg: Any) -> bool: ...
- @property
- def owner(self) -> _OperationBase: ...
- @property
- def result_number(self) -> int: ...
-
-class OpResultList:
- def __add__(self, arg0: OpResultList) -> list[OpResult]: ...
- @overload
- def __getitem__(self, arg0: int) -> OpResult: ...
- @overload
- def __getitem__(self, arg0: slice) -> OpResultList: ...
- def __len__(self) -> int: ...
- @property
- def owner(self) -> _OperationBase: ...
- @property
- def types(self) -> list[Type]: ...
-
-class OpSuccessors:
- def __add__(self, arg0: OpSuccessors) -> list[Block]: ...
- @overload
- def __getitem__(self, arg0: int) -> Block: ...
- @overload
- def __getitem__(self, arg0: slice) -> OpSuccessors: ...
- def __setitem__(self, arg0: int, arg1: Block) -> None: ...
- def __len__(self) -> int: ...
-
-class OpView(_OperationBase):
- _ODS_OPERAND_SEGMENTS: ClassVar[None] = ...
- _ODS_REGIONS: ClassVar[tuple] = ...
- _ODS_RESULT_SEGMENTS: ClassVar[None] = ...
- def __init__(self, operation: _OperationBase) -> None: ...
- @classmethod
- def build_generic(
- cls: type[_TOperation],
- results: Sequence[Type] | None = None,
- operands: Sequence[Value] | None = None,
- attributes: dict[str, Attribute] | None = None,
- successors: Sequence[Block] | None = None,
- regions: int | None = None,
- loc: Location | None = None,
- ip: InsertionPoint | None = None,
- ) -> _TOperation:
- """
- Builds a specific, generated OpView based on class level attributes.
- """
- @classmethod
- def parse(
- cls: type[_TOperation],
- source: str | bytes,
- *,
- source_name: str = "",
- context: Context | None = None,
- ) -> _TOperation:
- """
- Parses a specific, generated OpView based on class level attributes
- """
- def __init__(self, operation: _OperationBase) -> None: ...
- @property
- def operation(self) -> _OperationBase: ...
- @property
- def opview(self) -> OpView: ...
- @property
- def successors(self) -> OpSuccessors:
- """
- Returns the List of Operation successors.
- """
-
-class OpaqueAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(
- dialect_namespace: str,
- buffer: Buffer,
- type: Type,
- context: Context | None = None,
- ) -> OpaqueAttr:
- """
- Gets an Opaque attribute.
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def data(self) -> bytes:
- """
- Returns the data for the Opaqued attributes as `bytes`
- """
- @property
- def dialect_namespace(self) -> str:
- """
- Returns the dialect namespace for the Opaque attribute as a string
- """
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class OpaqueType(Type):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(
- dialect_namespace: str, buffer: str, context: Context | None = None
- ) -> OpaqueType:
- """
- Create an unregistered (opaque) dialect type.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def data(self) -> str:
- """
- Returns the data for the Opaque type as a string.
- """
- @property
- def dialect_namespace(self) -> str:
- """
- Returns the dialect namespace for the Opaque type as a string.
- """
- @property
- def typeid(self) -> TypeID: ...
-
-class Operation(_OperationBase):
- def _CAPICreate(self) -> object: ...
- @staticmethod
- def create(
- name: str,
- results: Sequence[Type] | None = None,
- operands: Sequence[Value] | None = None,
- attributes: dict[str, Attribute] | None = None,
- successors: Sequence[Block] | None = None,
- regions: int = 0,
- loc: Location | None = None,
- ip: InsertionPoint | None = None,
- infer_type: bool = False,
- ) -> Operation:
- """
- Creates a new operation.
-
- Args:
- name: Operation name (e.g. "dialect.operation").
- results: Sequence of Type representing op result types.
- attributes: Dict of str:Attribute.
- successors: List of Block for the operation's successors.
- regions: Number of regions to create.
- loc: A Location object (defaults to resolve from context manager).
- ip: An InsertionPoint (defaults to resolve from context manager or set to
- False to disable insertion, even with an insertion point set in the
- context manager).
- infer_type: Whether to infer result types.
- Returns:
- A new "detached" Operation object. Detached operations can be added
- to blocks, which causes them to become "attached."
- """
- @staticmethod
- def parse(
- source: str | bytes, *, source_name: str = "", context: Context | None = None
- ) -> Operation:
- """
- Parses an operation. Supports both text assembly format and binary bytecode format.
- """
- def _CAPICreate(self) -> object: ...
- @property
- def _CAPIPtr(self) -> object: ...
- @property
- def operation(self) -> Operation: ...
- @property
- def opview(self) -> OpView: ...
- @property
- def successors(self) -> OpSuccessors:
- """
- Returns the List of Operation successors.
- """
-
-class OperationIterator:
- def __iter__(self) -> OperationIterator: ...
- def __next__(self) -> OpView: ...
-
-class OperationList:
- def __getitem__(self, arg0: int) -> OpView: ...
- def __iter__(self) -> OperationIterator: ...
- def __len__(self) -> int: ...
-
-class RankedTensorType(ShapedType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(
- shape: list[int],
- element_type: Type,
- encoding: Attribute | None = None,
- loc: Location | None = None,
- ) -> RankedTensorType:
- """
- Create a ranked tensor type
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def encoding(self) -> Attribute | None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class Region:
- __hash__: ClassVar[None] = None
- @overload
- def __eq__(self, arg0: Region) -> bool: ...
- @overload
- def __eq__(self, arg0: object) -> bool: ...
- def __iter__(self) -> BlockIterator:
- """
- Iterates over blocks in the region.
- """
- @property
- def blocks(self) -> BlockList:
- """
- Returns a forward-optimized sequence of blocks.
- """
- @property
- def owner(self) -> OpView:
- """
- Returns the operation owning this region.
- """
-
-class RegionIterator:
- def __iter__(self) -> RegionIterator: ...
- def __next__(self) -> Region: ...
-
-class RegionSequence:
- @overload
- def __getitem__(self, arg0: int) -> Region: ...
- @overload
- def __getitem__(self, arg0: slice) -> Sequence[Region]: ...
- def __iter__(self) -> RegionIterator: ...
- def __len__(self) -> int: ...
-
-class ShapedType(Type):
- @staticmethod
- def get_dynamic_size() -> int:
- """
- Returns the value used to indicate dynamic dimensions in shaped types.
- """
- @staticmethod
- def get_dynamic_stride_or_offset() -> int:
- """
- Returns the value used to indicate dynamic strides or offsets in shaped types.
- """
- @staticmethod
- def is_dynamic_size(dim_size: int) -> bool:
- """
- Returns whether the given dimension size indicates a dynamic dimension.
- """
- @staticmethod
- def is_static_size(dim_size: int) -> bool:
- """
- Returns whether the given dimension size indicates a static dimension.
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- def get_dim_size(self, dim: int) -> int:
- """
- Returns the dim-th dimension of the given ranked shaped type.
- """
- def is_dynamic_dim(self, dim: int) -> bool:
- """
- Returns whether the dim-th dimension of the given shaped type is dynamic.
- """
- def is_static_dim(self, dim: int) -> bool:
- """
- Returns whether the dim-th dimension of the given shaped type is static.
- """
- def is_dynamic_stride_or_offset(self, dim_size: int) -> bool:
- """
- Returns whether the given value is used as a placeholder for dynamic strides and offsets in shaped types.
- """
- def is_static_stride_or_offset(self, dim_size: int) -> bool:
- """
- Returns whether the given shaped type stride or offset value is statically-sized.
- """
- @property
- def element_type(self) -> Type:
- """
- Returns the element type of the shaped type.
- """
- @property
- def has_rank(self) -> bool:
- """
- Returns whether the given shaped type is ranked.
- """
- @property
- def has_static_shape(self) -> bool:
- """
- Returns whether the given shaped type has a static shape.
- """
- @property
- def rank(self) -> int:
- """
- Returns the rank of the given ranked shaped type.
- """
- @property
- def shape(self) -> list[int]:
- """
- Returns the shape of the ranked shaped type as a List of integers.
- """
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class ShapedTypeComponents:
- @staticmethod
- @overload
- def get(element_type: Type) -> ShapedTypeComponents:
- """
- Create an shaped type components object with only the element type.
- """
- @staticmethod
- @overload
- def get(shape: list, element_type: Type) -> ShapedTypeComponents:
- """
- Create a ranked shaped type components object.
- """
- @staticmethod
- @overload
- def get(
- shape: list, element_type: Type, attribute: Attribute
- ) -> ShapedTypeComponents:
- """
- Create a ranked shaped type components object with attribute.
- """
- @property
- def element_type(self) -> Type:
- """
- Returns the element type of the shaped type components.
- """
- @property
- def has_rank(self) -> bool:
- """
- Returns whether the given shaped type component is ranked.
- """
- @property
- def rank(self) -> int:
- """
- Returns the rank of the given ranked shaped type components. If the shaped type components does not have a rank, None is returned.
- """
- @property
- def shape(self) -> list[int]:
- """
- Returns the shape of the ranked shaped type components as a List of integers. Returns none if the shaped type component does not have a rank.
- """
-
-class StridedLayoutAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(
- offset: int, strides: list[int], context: Context | None = None
- ) -> StridedLayoutAttr:
- """
- Gets a strided layout attribute.
- """
- @staticmethod
- def get_fully_dynamic(
- rank: int, context: Context | None = None
- ) -> StridedLayoutAttr:
- """
- Gets a strided layout attribute with dynamic offset and strides of a given rank.
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def offset(self) -> int:
- """
- Returns the value of the float point attribute
- """
- @property
- def strides(self) -> list[int]:
- """
- Returns the value of the float point attribute
- """
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class StringAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(value: str | bytes, context: Context | None = None) -> StringAttr:
- """
- Gets a uniqued string attribute
- """
- @staticmethod
- def get_typed(type: Type, value: str) -> StringAttr:
- """
- Gets a uniqued string attribute associated to a type
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
- @property
- def value(self) -> str:
- """
- Returns the value of the string attribute
- """
- @property
- def value_bytes(self) -> bytes:
- """
- Returns the value of the string attribute as `bytes`
- """
-
-class SymbolRefAttr(Attribute):
- @staticmethod
- def get(symbols: list[str], context: Context | None = None) -> Attribute:
- """
- Gets a uniqued SymbolRef attribute from a List of symbol names
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def static_typeid(self) -> TypeID: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
- @property
- def value(self) -> list[str]:
- """
- Returns the value of the SymbolRef attribute as a List[str]
- """
-
-class SymbolTable:
- @staticmethod
- def get_symbol_name(symbol: _OperationBase) -> Attribute: ...
- @staticmethod
- def get_visibility(symbol: _OperationBase) -> Attribute: ...
- @staticmethod
- def replace_all_symbol_uses(
- old_symbol: str, new_symbol: str, from_op: _OperationBase
- ) -> None: ...
- @staticmethod
- def set_symbol_name(symbol: _OperationBase, name: str) -> None: ...
- @staticmethod
- def set_visibility(symbol: _OperationBase, visibility: str) -> None: ...
- @staticmethod
- def walk_symbol_tables(
- from_op: _OperationBase,
- all_sym_uses_visible: bool,
- callback: Callable[[_OperationBase, bool], None],
- ) -> None: ...
- def __contains__(self, arg0: str) -> bool: ...
- def __delitem__(self, arg0: str) -> None: ...
- def __getitem__(self, arg0: str) -> OpView: ...
- def __init__(self, arg0: _OperationBase) -> None: ...
- def erase(self, operation: _OperationBase) -> None: ...
- def insert(self, operation: _OperationBase) -> Attribute: ...
-
-class TupleType(Type):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get_tuple(elements: list[Type], context: Context | None = None) -> TupleType:
- """
- Create a Tuple type
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- def get_type(self, pos: int) -> Type:
- """
- Returns the pos-th type in the Tuple type.
- """
- @property
- def num_types(self) -> int:
- """
- Returns the number of types contained in a Tuple.
- """
- @property
- def typeid(self) -> TypeID: ...
-
-class TypeAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(value: Type, context: Context | None = None) -> TypeAttr:
- """
- Gets a uniqued Type attribute
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
- @property
- def value(self) -> Type: ...
-
-class TypeID:
- def _CAPICreate(self) -> TypeID: ...
- @overload
- def __eq__(self, arg0: TypeID) -> bool: ...
- @overload
- def __eq__(self, arg0: Any) -> bool: ...
- def __hash__(self) -> int: ...
- @property
- def _CAPIPtr(self) -> object: ...
-
-class UnitAttr(Attribute):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(context: Context | None = None) -> UnitAttr:
- """
- Create a Unit attribute.
- """
- @staticmethod
- def isinstance(other: Attribute) -> bool: ...
- def __init__(self, cast_from_attr: Attribute) -> None: ...
- @property
- def type(self) -> Type: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class UnrankedMemRefType(ShapedType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(
- element_type: Type, memory_space: Attribute, loc: Location | None = None
- ) -> UnrankedMemRefType:
- """
- Create a unranked memref type
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def memory_space(self) -> Attribute | None:
- """
- Returns the memory space of the given Unranked MemRef type.
- """
- @property
- def typeid(self) -> TypeID: ...
-
-class UnrankedTensorType(ShapedType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(element_type: Type, loc: Location | None = None) -> UnrankedTensorType:
- """
- Create a unranked tensor type
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class VectorType(ShapedType):
- static_typeid: ClassVar[TypeID]
- @staticmethod
- def get(
- shape: list[int],
- element_type: Type,
- *,
- scalable: list | None = None,
- scalable_dims: list[int] | None = None,
- loc: Location | None = None,
- ) -> VectorType:
- """
- Create a vector type
- """
- @staticmethod
- def isinstance(other: Type) -> bool: ...
- def __init__(self, cast_from_type: Type) -> None: ...
- @property
- def scalable(self) -> bool: ...
- @property
- def scalable_dims(self) -> list[bool]: ...
- @property
- def typeid(self) -> TypeID: ...
-
-class _GlobalDebug:
- flag: ClassVar[bool] = False
diff --git a/mlir/python/mlir/_mlir_libs/_mlir/passmanager.pyi b/mlir/python/mlir/_mlir_libs/_mlir/passmanager.pyi
deleted file mode 100644
index 1010daddae2aa..0000000000000
--- a/mlir/python/mlir/_mlir_libs/_mlir/passmanager.pyi
+++ /dev/null
@@ -1,36 +0,0 @@
-# Originally imported via:
-# stubgen {...} -m mlir._mlir_libs._mlir.passmanager
-# Local modifications:
-# * Relative imports for cross-module references.
-# * Add __all__
-
-
-from . import ir as _ir
-
-__all__ = [
- "PassManager",
-]
-
-class PassManager:
- def __init__(self, context: _ir.Context | None = None) -> None: ...
- def _CAPICreate(self) -> object: ...
- def _testing_release(self) -> None: ...
- def enable_ir_printing(
- self,
- print_before_all: bool = False,
- print_after_all: bool = True,
- print_module_scope: bool = False,
- print_after_change: bool = False,
- print_after_failure: bool = False,
- large_elements_limit: int | None = None,
- large_resource_limit: int | None = None,
- enable_debug_info: bool = False,
- print_generic_op_form: bool = False,
- tree_printing_dir_path: str | None = None,
- ) -> None: ...
- def enable_verifier(self, enable: bool) -> None: ...
- @staticmethod
- def parse(pipeline: str, context: _ir.Context | None = None) -> PassManager: ...
- def run(self, module: _ir._OperationBase) -> None: ...
- @property
- def _CAPIPtr(self) -> object: ...
diff --git a/mlir/python/mlir/_mlir_libs/_mlirExecutionEngine.pyi b/mlir/python/mlir/_mlir_libs/_mlirExecutionEngine.pyi
deleted file mode 100644
index 4b82c78489295..0000000000000
--- a/mlir/python/mlir/_mlir_libs/_mlirExecutionEngine.pyi
+++ /dev/null
@@ -1,24 +0,0 @@
-# Originally imported via:
-# stubgen {...} -m mlir._mlir_libs._mlirExecutionEngine
-# Local modifications:
-# * Relative imports for cross-module references.
-# * Add __all__
-
-from collections.abc import Sequence
-
-from ._mlir import ir as _ir
-
-__all__ = [
- "ExecutionEngine",
-]
-
-class ExecutionEngine:
- def __init__(self, module: _ir.Module, opt_level: int = 2, shared_libs: Sequence[str] = ...) -> None: ...
- def _CAPICreate(self) -> object: ...
- def _testing_release(self) -> None: ...
- def dump_to_object_file(self, file_name: str) -> None: ...
- def raw_lookup(self, func_name: str) -> int: ...
- def raw_register_runtime(self, name: str, callback: object) -> None: ...
- def init() -> None: ...
- @property
- def _CAPIPtr(self) -> object: ...
diff --git a/mlir/python/requirements.txt b/mlir/python/requirements.txt
index 1a0075e829aef..8fe75a117a973 100644
--- a/mlir/python/requirements.txt
+++ b/mlir/python/requirements.txt
@@ -1,4 +1,4 @@
-nanobind>=2.4, <3.0
+nanobind @ git+https://github.com/wjakob/nanobind@53dce4e
numpy>=1.19.5, <=2.1.2
pybind11>=2.10.0, <=2.13.6
PyYAML>=5.4.0, <=6.0.1
>From a288be5dca65100999d9022d8285070914dd557a Mon Sep 17 00:00:00 2001
From: Maksim Levental <maksim.levental at gmail.com>
Date: Thu, 28 Aug 2025 02:41:44 -0400
Subject: [PATCH 2/4] Update requirements.txt
---
mlir/python/requirements.txt | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/mlir/python/requirements.txt b/mlir/python/requirements.txt
index 8fe75a117a973..a0b2c3736b214 100644
--- a/mlir/python/requirements.txt
+++ b/mlir/python/requirements.txt
@@ -1,6 +1,6 @@
-nanobind @ git+https://github.com/wjakob/nanobind@53dce4e
+nanobind @ git+https://github.com/wjakob/nanobind
numpy>=1.19.5, <=2.1.2
pybind11>=2.10.0, <=2.13.6
PyYAML>=5.4.0, <=6.0.1
ml_dtypes>=0.1.0, <=0.6.0; python_version<"3.13" # provides several NumPy dtype extensions, including the bf16
-ml_dtypes>=0.5.0, <=0.6.0; python_version>="3.13"
\ No newline at end of file
+ml_dtypes>=0.5.0, <=0.6.0; python_version>="3.13"
>From c23ac1b2f286273eea444a4fa53f38779031d5ba Mon Sep 17 00:00:00 2001
From: Maksim Levental <maksim.levental at gmail.com>
Date: Thu, 28 Aug 2025 03:01:15 -0400
Subject: [PATCH 3/4] Update all_requirements.txt
---
.ci/all_requirements.txt | 4 +---
1 file changed, 1 insertion(+), 3 deletions(-)
diff --git a/.ci/all_requirements.txt b/.ci/all_requirements.txt
index f73500efdc7e0..4a203444c404c 100644
--- a/.ci/all_requirements.txt
+++ b/.ci/all_requirements.txt
@@ -34,9 +34,7 @@ ml-dtypes==0.5.1 ; python_version < "3.13" \
--hash=sha256:d13755f8e8445b3870114e5b6240facaa7cb0c3361e54beba3e07fa912a6e12b \
--hash=sha256:fd918d4e6a4e0c110e2e05be7a7814d10dc1b95872accbf6512b80a109b71ae1
# via -r ./mlir/python/requirements.txt
-nanobind==2.7.0 \
- --hash=sha256:73b12d0e751d140d6c1bf4b215e18818a8debfdb374f08dc3776ad208d808e74 \
- --hash=sha256:f9f1b160580c50dcf37b6495a0fd5ec61dc0d95dae5f8004f87dd9ad7eb46b34
+nanobind @ git+https://github.com/wjakob/nanobind
# via -r ./mlir/python/requirements.txt
numpy==2.0.2 \
--hash=sha256:0123ffdaa88fa4ab64835dcbde75dcdf89c453c922f18dced6e27c90d1d0ec5a \
>From 058562a413d6f65d23a1d2057f27ae5758367110 Mon Sep 17 00:00:00 2001
From: Maksim Levental <maksim.levental at gmail.com>
Date: Thu, 28 Aug 2025 03:09:12 -0400
Subject: [PATCH 4/4] Update all_requirements.txt
---
.ci/all_requirements.txt | 1 -
1 file changed, 1 deletion(-)
diff --git a/.ci/all_requirements.txt b/.ci/all_requirements.txt
index 40290a69bd8e5..c1aed05f0e7ee 100644
--- a/.ci/all_requirements.txt
+++ b/.ci/all_requirements.txt
@@ -194,7 +194,6 @@ ml-dtypes==0.5.1 ; python_version < "3.13" \
--hash=sha256:d13755f8e8445b3870114e5b6240facaa7cb0c3361e54beba3e07fa912a6e12b \
--hash=sha256:fd918d4e6a4e0c110e2e05be7a7814d10dc1b95872accbf6512b80a109b71ae1
# via -r ./mlir/python/requirements.txt
-nanobind @ git+https://github.com/wjakob/nanobind
# via -r mlir/python/requirements.txt
numpy==2.0.2 \
--hash=sha256:0123ffdaa88fa4ab64835dcbde75dcdf89c453c922f18dced6e27c90d1d0ec5a \
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