mlir.dialects._func_ops_gen¶

Attributes¶

_ods_ir

Classes¶

`_Dialect`
`CallIndirectOp`	The `func.call_indirect` operation represents an indirect call to a value
`CallOp`	The `func.call` operation represents a direct call to a function that is
`ConstantOp`	The `func.constant` operation produces an SSA value from a symbol reference
`FuncOp`	Operations within the function cannot implicitly capture values defined
`ReturnOp`	The `func.return` operation represents a return operation within a function.

Functions¶

`call_indirect`(→ Union[_ods_ir, _ods_ir, CallIndirectOp])
`call`(→ Union[_ods_ir, _ods_ir, CallOp])
`constant`(→ _ods_ir)
`func`(→ FuncOp)
`return_`(→ ReturnOp)

Module Contents¶

mlir.dialects._func_ops_gen._ods_ir¶

class mlir.dialects._func_ops_gen._Dialect(descriptor: object)¶

Bases: _ods_ir

DIALECT_NAMESPACE = 'func'¶

class mlir.dialects._func_ops_gen.CallIndirectOp(results_, callee, callee_operands, *, arg_attrs=None, res_attrs=None, loc=None, ip=None)¶

Bases: _ods_ir

The func.call_indirect operation represents an indirect call to a value of function type. The operands and result types of the call must match the specified function type.

Function values can be created with the `func.constant operation <#funcconstant-constantop>`_.

Example:

%func = func.constant @my_func : (tensor<16xf32>, tensor<16xf32>) -> tensor<16xf32>
%result = func.call_indirect %func(%0, %1) : (tensor<16xf32>, tensor<16xf32>) -> tensor<16xf32>

OPERATION_NAME = 'func.call_indirect'¶

_ODS_REGIONS = (0, True)¶

callee() → _ods_ir¶

callee_operands() → _ods_ir¶

arg_attrs() → _ods_ir | None¶

res_attrs() → _ods_ir | None¶

results_() → _ods_ir¶

mlir.dialects._func_ops_gen.call_indirect(results_, callee, callee_operands, *, arg_attrs=None, res_attrs=None, loc=None, ip=None) → _ods_ir | _ods_ir | CallIndirectOp¶

class mlir.dialects._func_ops_gen.CallOp(result, callee, operands_, *, arg_attrs=None, res_attrs=None, no_inline=None, loc=None, ip=None)¶

Bases: _ods_ir

The func.call operation represents a direct call to a function that is within the same symbol scope as the call. The operands and result types of the call must match the specified function type. The callee is encoded as a symbol reference attribute named “callee”.

Example:

%2 = func.call @my_add(%0, %1) : (f32, f32) -> f32

OPERATION_NAME = 'func.call'¶

_ODS_REGIONS = (0, True)¶

operands_() → _ods_ir¶

callee() → _ods_ir¶

arg_attrs() → _ods_ir | None¶

res_attrs() → _ods_ir | None¶

no_inline() → bool¶

mlir.dialects._func_ops_gen.call(result, callee, operands_, *, arg_attrs=None, res_attrs=None, no_inline=None, loc=None, ip=None) → _ods_ir | _ods_ir | CallOp¶

class mlir.dialects._func_ops_gen.ConstantOp(result, value, *, loc=None, ip=None)¶

Bases: _ods_ir

The func.constant operation produces an SSA value from a symbol reference to a func.func operation

Example:

// Reference to function @myfn.
%2 = func.constant @myfn : (tensor<16xf32>, f32) -> tensor<16xf32>

// Equivalent generic forms
%2 = "func.constant"() { value = @myfn } : () -> ((tensor<16xf32>, f32) -> tensor<16xf32>)

MLIR does not allow direct references to functions in SSA operands because the compiler is multithreaded, and disallowing SSA values to directly reference a function simplifies this (rationale).

OPERATION_NAME = 'func.constant'¶

_ODS_REGIONS = (0, True)¶

value() → _ods_ir¶

mlir.dialects._func_ops_gen.constant(result, value, *, loc=None, ip=None) → _ods_ir¶

class mlir.dialects._func_ops_gen.FuncOp(sym_name, function_type, *, sym_visibility=None, arg_attrs=None, res_attrs=None, no_inline=None, loc=None, ip=None)¶

Bases: _ods_ir

Operations within the function cannot implicitly capture values defined outside of the function, i.e. Functions are IsolatedFromAbove. All external references must use function arguments or attributes that establish a symbolic connection (e.g. symbols referenced by name via a string attribute like SymbolRefAttr). An external function declaration (used when referring to a function declared in some other module) has no body. While the MLIR textual form provides a nice inline syntax for function arguments, they are internally represented as “block arguments” to the first block in the region.

Only dialect attribute names may be specified in the attribute dictionaries for function arguments, results, or the function itself.

Example:

// External function definitions.
func.func private @abort()
func.func private @scribble(i32, i64, memref<? x 128 x f32, #layout_map0>) -> f64

// A function that returns its argument twice:
func.func @count(%x: i64) -> (i64, i64)
  attributes {fruit = "banana"} {
  return %x, %x: i64, i64
}

// A function with an argument attribute
func.func private @example_fn_arg(%x: i32 {swift.self = unit})

// A function with a result attribute
func.func private @example_fn_result() -> (f64 {dialectName.attrName = 0 : i64})

// A function with an attribute
func.func private @example_fn_attr() attributes {dialectName.attrName = false}

OPERATION_NAME = 'func.func'¶

_ODS_REGIONS = (1, True)¶

sym_name() → _ods_ir¶

function_type() → _ods_ir¶

sym_visibility() → _ods_ir | None¶

arg_attrs() → _ods_ir | None¶

res_attrs() → _ods_ir | None¶

no_inline() → bool¶

body() → _ods_ir¶

mlir.dialects._func_ops_gen.func(sym_name, function_type, *, sym_visibility=None, arg_attrs=None, res_attrs=None, no_inline=None, loc=None, ip=None) → FuncOp¶

class mlir.dialects._func_ops_gen.ReturnOp(operands_, *, loc=None, ip=None)¶

Bases: _ods_ir

The func.return operation represents a return operation within a function. The operation takes variable number of operands and produces no results. The operand number and types must match the signature of the function that contains the operation.

Example:

func.func @foo() -> (i32, f8) {
  ...
  return %0, %1 : i32, f8
}

OPERATION_NAME = 'func.return'¶

_ODS_REGIONS = (0, True)¶

operands_() → _ods_ir¶

mlir.dialects._func_ops_gen.return_(operands_, *, loc=None, ip=None) → ReturnOp¶