Regenerate MLIR Bindings (#1710)

Co-authored-by: enzyme-ci-bot[bot] <78882869+enzyme-ci-bot[bot]@users.noreply.github.com>

Author: github-actions[bot]

src/mlir/Dialects/Enzyme.jl

@@ -175,6 +175,40 @@ function autodiff(
     )
 end
 
+function autodiff_region(
+    inputs::Vector{Value};
+    outputs::Vector{IR.Type},
+    activity,
+    ret_activity,
+    width=nothing,
+    strong_zero=nothing,
+    fn=nothing,
+    body::Region,
+    location=Location(),
+)
+    op_ty_results = IR.Type[outputs...,]
+    operands = Value[inputs...,]
+    owned_regions = Region[body,]
+    successors = Block[]
+    attributes = NamedAttribute[
+        namedattribute("activity", activity), namedattribute("ret_activity", ret_activity)
+    ]
+    !isnothing(width) && push!(attributes, namedattribute("width", width))
+    !isnothing(strong_zero) && push!(attributes, namedattribute("strong_zero", strong_zero))
+    !isnothing(fn) && push!(attributes, namedattribute("fn", fn))
+
+    return create_operation(
+        "enzyme.autodiff_region",
+        location;
+        operands,
+        owned_regions,
+        successors,
+        attributes,
+        results=op_ty_results,
+        result_inference=false,
+    )
+end
+
 function batch(
     inputs::Vector{Value}; outputs::Vector{IR.Type}, fn, batch_shape, location=Location()
 )
@@ -648,4 +682,23 @@ function untracedCall(
     )
 end
 
+function yield(operands::Vector{Value}; location=Location())
+    op_ty_results = IR.Type[]
+    operands = Value[operands...,]
+    owned_regions = Region[]
+    successors = Block[]
+    attributes = NamedAttribute[]
+
+    return create_operation(
+        "enzyme.yield",
+        location;
+        operands,
+        owned_regions,
+        successors,
+        attributes,
+        results=op_ty_results,
+        result_inference=false,
+    )
+end
+
 end # enzyme

src/mlir/Dialects/Gpu.jl

@@ -2729,6 +2729,48 @@ function spmat_get_size(
     )
 end
 
+"""
+`subgroup_broadcast`
+
+Broadcasts a value from one lane to all active lanes in a subgroup. The
+result is guaranteed to be uniform across the active lanes in subgroup.
+
+The possible broadcast types are:
+
+* `first_active_lane` - broadcasts the value from the first active lane
+in the subgroup.
+* `specific_lane` - broadcasts from the specified lane. The lane index
+must be uniform and within the subgroup size. The result is poison if the
+lane index is invalid, non subgroup-uniform, or if the source lane is not
+active.
+"""
+function subgroup_broadcast(
+    src::Value,
+    lane=nothing::Union{Nothing,Value};
+    result=nothing::Union{Nothing,IR.Type},
+    broadcast_type,
+    location=Location(),
+)
+    op_ty_results = IR.Type[]
+    operands = Value[src,]
+    owned_regions = Region[]
+    successors = Block[]
+    attributes = NamedAttribute[namedattribute("broadcast_type", broadcast_type),]
+    !isnothing(lane) && push!(operands, lane)
+    !isnothing(result) && push!(op_ty_results, result)
+
+    return create_operation(
+        "gpu.subgroup_broadcast",
+        location;
+        operands,
+        owned_regions,
+        successors,
+        attributes,
+        results=(length(op_ty_results) == 0 ? nothing : op_ty_results),
+        result_inference=(length(op_ty_results) == 0 ? true : false),
+    )
+end
+
 """
 `subgroup_id`
 

src/mlir/Dialects/Llvm.jl

@@ -1459,6 +1459,22 @@ Examples:
 // Alignment is optional
 llvm.mlir.global private constant @y(dense<1.0> : tensor<8xf32>) { alignment = 32 : i64 } : !llvm.array<8 x f32>
 ```
+
+The `target_specific_attrs` attribute provides a mechanism to preserve
+target-specific LLVM IR attributes that are not explicitly modeled in the
+LLVM dialect.
+
+The attribute is an array containing either string attributes or
+two-element array attributes of strings. The value of a standalone string
+attribute is interpreted as the name of an LLVM IR attribute on the global.
+A two-element array is interpreted as a key-value pair.
+
+# Example
+
+```mlir
+llvm.mlir.global external @example() {
+  target_specific_attrs = [\"value-less-attr\", [\"int-attr\", \"4\"], [\"string-attr\", \"string\"]]} : f64
+```
 """
 function mlir_global(;
     global_type,
@@ -1476,6 +1492,7 @@ function mlir_global(;
     comdat=nothing,
     dbg_exprs=nothing,
     visibility_=nothing,
+    target_specific_attrs=nothing,
     initializer::Region,
     location=Location(),
 )
@@ -1503,6 +1520,8 @@ function mlir_global(;
     !isnothing(comdat) && push!(attributes, namedattribute("comdat", comdat))
     !isnothing(dbg_exprs) && push!(attributes, namedattribute("dbg_exprs", dbg_exprs))
     !isnothing(visibility_) && push!(attributes, namedattribute("visibility_", visibility_))
+    !isnothing(target_specific_attrs) &&
+        push!(attributes, namedattribute("target_specific_attrs", target_specific_attrs))
 
     return create_operation(
         "llvm.mlir.global",
@@ -1933,7 +1952,6 @@ function func(;
     unsafe_fp_math=nothing,
     no_infs_fp_math=nothing,
     no_nans_fp_math=nothing,
-    approx_func_fp_math=nothing,
     no_signed_zeros_fp_math=nothing,
     denormal_fp_math=nothing,
     denormal_fp_math_f32=nothing,
@@ -2014,8 +2032,6 @@ function func(;
         push!(attributes, namedattribute("no_infs_fp_math", no_infs_fp_math))
     !isnothing(no_nans_fp_math) &&
         push!(attributes, namedattribute("no_nans_fp_math", no_nans_fp_math))
-    !isnothing(approx_func_fp_math) &&
-        push!(attributes, namedattribute("approx_func_fp_math", approx_func_fp_math))
     !isnothing(no_signed_zeros_fp_math) && push!(
         attributes, namedattribute("no_signed_zeros_fp_math", no_signed_zeros_fp_math)
     )