tvm_tirx/ir/op.rs
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
#![allow(dead_code, unused_imports)]
//! Operators: the registry entry [`Op`], its [`ArgumentInfo`], and its attribute columns.
//!
//! The objects `python/tvm_tirx/ir/op.py` defines. [`Op::get`] looks up a registered operator,
//! [`Op::attr_map`] reads an attribute column as an [`OpAttrMap`], which also sees the values
//! registered after it was read, and [`Op::register`] registers a new operator.
// `ir.Op` has three unreflected members, so its complete layout is hand-written below.
// tvm-ffi-stubgen(ty-map): ir.Op -> crate::ir::op::Op
// Names the hand-written `Op` binding uses: the import section keeps them even when no
// generated block does.
// tvm-ffi-stubgen(import-object): std::ops::Deref
// tvm-ffi-stubgen(import-object): tvm_ffi::Any
// tvm-ffi-stubgen(import-object): tvm_ffi::Array
// tvm-ffi-stubgen(import-object): tvm_ffi::ObjectArc
// tvm-ffi-stubgen(import-object): tvm_ffi::Result
// tvm-ffi-stubgen(import-object): tvm_ffi::String
// tvm-ffi-stubgen(import-object): crate::ir::expr::Expr
// tvm-ffi-stubgen(import-object): crate::ir::expr::ExprObj
// tvm-ffi-stubgen(import-object): crate::ir::support
// tvm-ffi-stubgen(import-object): tvm_ffi::ObjectRefCore
// tvm-ffi-stubgen(begin): import-section
use crate::ir::expr::Expr;
use crate::ir::expr::ExprObj;
use crate::ir::support;
use std::ops::Deref;
use tvm_ffi::Any;
use tvm_ffi::Array;
use tvm_ffi::Object;
use tvm_ffi::ObjectArc;
use tvm_ffi::ObjectRefCore;
use tvm_ffi::Result;
use tvm_ffi::String;
// tvm-ffi-stubgen(end)
// tvm-ffi-stubgen(begin): object/ir.ArgumentInfo
/// Complete: reflected fields fill [24, 56) exactly.
#[repr(C)]
#[derive(tvm_ffi::derive::Object)]
#[type_key = "ir.ArgumentInfo"]
#[type_final]
pub struct ArgumentInfoObj {
base: Object,
pub name: String,
pub doc: String,
}
const _: () = {
assert!(::core::mem::size_of::<ArgumentInfoObj>() == 56);
assert!(::core::mem::align_of::<ArgumentInfoObj>() == 8);
};
#[repr(C)]
#[derive(tvm_ffi::derive::ObjectRef, Clone)]
pub struct ArgumentInfo {
base: ObjectArc<ArgumentInfoObj>,
}
impl Deref for ArgumentInfo {
type Target = ArgumentInfoObj;
fn deref(&self) -> &ArgumentInfoObj {
&self.base
}
}
impl ArgumentInfoObj {
pub(crate) fn new(name: String, doc: String) -> Self {
let base = Object::new();
Self { base, name, doc }
}
}
impl ArgumentInfo {
/// Lossless complete-field allocation.
pub fn new(name: impl Into<String>, doc: impl Into<String>) -> Self {
let obj = ArgumentInfoObj::new(name.into(), doc.into());
Self { base: ObjectArc::new(obj) }
}
}
// tvm-ffi-stubgen(end)
/// Complete field view of a native operator registry entry; construction is registry-only.
///
/// Hand-written (the block is `skip`ped): `attrs_type_index`, `validator`, and
/// `validator_is_custom` are not reflected, so the generator can only emit an opaque
/// view of `OpObj`. Keep the members in step with `OpObj` in `include/tvm/ir/op.h`.
#[repr(C)]
#[derive(tvm_ffi::derive::Object)]
#[type_key = "ir.Op"]
#[type_final]
pub struct OpObj {
base: ExprObj,
pub index: u32,
pub name: String,
pub doc: String,
pub args_info: Array<ArgumentInfo>,
pub ty_args_info: Array<ArgumentInfo>,
pub var_args_info: Option<ArgumentInfo>,
pub var_ty_args_info: Option<ArgumentInfo>,
pub attrs_type_key: String,
attrs_type_index: u32,
validator: Any,
validator_is_custom: bool,
}
const _: () = {
assert!(::core::mem::size_of::<OpObj>() == 160);
assert!(::core::mem::align_of::<OpObj>() == 8);
assert!(::core::mem::offset_of!(OpObj, index) == 40);
assert!(::core::mem::offset_of!(OpObj, name) == 48);
assert!(::core::mem::offset_of!(OpObj, doc) == 64);
assert!(::core::mem::offset_of!(OpObj, args_info) == 80);
assert!(::core::mem::offset_of!(OpObj, ty_args_info) == 88);
assert!(::core::mem::offset_of!(OpObj, var_args_info) == 96);
assert!(::core::mem::offset_of!(OpObj, var_ty_args_info) == 104);
assert!(::core::mem::offset_of!(OpObj, attrs_type_key) == 112);
assert!(::core::mem::offset_of!(OpObj, attrs_type_index) == 128);
assert!(::core::mem::offset_of!(OpObj, validator) == 136);
assert!(::core::mem::offset_of!(OpObj, validator_is_custom) == 152);
};
/// An operator obtained through [`Op::get`], not a fresh allocation.
#[repr(C)]
#[derive(tvm_ffi::derive::ObjectRef, Clone)]
pub struct Op {
base: ObjectArc<OpObj>,
}
impl Deref for Op {
type Target = OpObj;
fn deref(&self) -> &OpObj {
&self.base
}
}
impl Deref for OpObj {
type Target = ExprObj;
fn deref(&self) -> &ExprObj {
&self.base
}
}
impl OpObj {
/// Runtime type index corresponding to `attrs_type_key` (not reflected natively).
pub fn attrs_type_index(&self) -> u32 {
self.attrs_type_index
}
/// Process-local validation callback (not reflected natively): a native function address
/// held as an opaque pointer, a packed function, or `None` when there is none.
pub fn validator(&self) -> &Any {
&self.validator
}
/// Whether the validator was explicitly registered rather than generated (not reflected
/// natively).
pub fn validator_is_custom(&self) -> bool {
self.validator_is_custom
}
}
impl Op {
/// The registered operator `name`, a registry singleton (`ir.GetOp`).
pub fn get(name: &str) -> Result<Self> {
tvm_ffi::cached_global_func!("ir.GetOp").call_tuple((String::from(name),))?.try_into()
}
/// Whether any operator registered the attribute `name`, as `Op::HasAttrMap` (`ir.ListOpAttrNames`).
pub fn has_attr_map(name: &str) -> Result<bool> {
Ok(Self::list_attr_names()?.iter().any(|column| column.as_str() == name))
}
/// The live attribute column `name`, as `Op::GetAttrMap<T>`, or `None` when no operator
/// registered it (`ir.GetOpAttrColumn`).
pub fn attr_map<T: tvm_ffi::type_traits::AnyCompatible>(
name: &str,
) -> Result<Option<OpAttrMap<T>>> {
Self::attr_column(name)
}
/// [`Op::attr_map`] for a column read entry by entry as raw values ([`OpAttrMap::get_any`]).
pub(crate) fn attr_column<T>(name: &str) -> Result<Option<OpAttrMap<T>>> {
let column =
tvm_ffi::cached_global_func!("ir.GetOpAttrColumn").call_tuple((String::from(name),))?;
if column.type_index() == tvm_ffi::tvm_ffi_sys::TVMFFITypeIndex::kTVMFFINone as i32 {
return Ok(None);
}
if column.type_index() != tvm_ffi::tvm_ffi_sys::TVMFFITypeIndex::kTVMFFIList as i32 {
return Err(tvm_ffi::Error::new(
tvm_ffi::TYPE_ERROR,
&format!("Op attribute column {name} is not an ffi.List"),
"",
));
}
Ok(Some(OpAttrMap {
column: column.try_into()?,
name: String::from(name),
_value: std::marker::PhantomData,
}))
}
/// The names of the registered operators (`ir.ListOpNames`).
pub fn list_op_names() -> Result<Array<String>> {
tvm_ffi::cached_global_func!("ir.ListOpNames").call_tuple(())?.try_into()
}
/// The names of the attributes any operator registered (`ir.ListOpAttrNames`).
pub fn list_attr_names() -> Result<Array<String>> {
tvm_ffi::cached_global_func!("ir.ListOpAttrNames").call_tuple(())?.try_into()
}
/// Register a new operator `name` with the documentation `doc`; fails if `name` is already
/// registered (`ir.RegisterOp`).
pub fn register(name: &str, doc: &str) -> Result<()> {
tvm_ffi::cached_global_func!("ir.RegisterOp")
.call_tuple((String::from(name), String::from(doc)))?;
Ok(())
}
/// Store `validator` as this operator's validator in place, as C++ `OpDef::set_validator` and
/// `OpDef::signature` write the registry's node: an opaque pointer to a C ABI adapter, as
/// `NativeFunctionView::FromNative` stores one.
pub(crate) fn write_validator(&self, validator: Any, custom: bool) {
// SAFETY: C++ `OpDef` writes these members of the registry's node in place too. No
// reference into the node is live, and registration is not synchronized with readers.
unsafe {
let node = ObjectArc::as_raw(ObjectRefCore::data(self)) as *mut OpObj;
let previous = std::ptr::replace(std::ptr::addr_of_mut!((*node).validator), validator);
std::ptr::addr_of_mut!((*node).validator_is_custom).write(custom);
drop(previous);
}
}
}
tvm_ffi::impl_object_upcast!(Op => Expr);
/// `OpAttrMap<T>` (`include/tvm/ir/op.h`): one live attribute column of the operator registry.
///
/// It holds the registry's own column, so values registered later stay visible and a map can be
/// cached for the process like the C++ `static` ones. A lookup reads entry `op.index` without an
/// FFI call. The crate has no `ffi.List` binding, so the column is read through the
/// `TVMFFISeqCell` that `ffi.List` shares with `ffi.Array` (`c_api.h`).
pub struct OpAttrMap<T> {
column: tvm_ffi::object::ObjectRef,
name: String,
_value: std::marker::PhantomData<T>,
}
impl<T> OpAttrMap<T> {
/// The entry of `op` in the column, unless it has none.
fn entry(&self, op: &OpObj) -> Option<&tvm_ffi::tvm_ffi_sys::TVMFFIAny> {
// SAFETY: `column` is an `ffi.List` (checked by `Op::attr_map`) that `self` keeps alive.
// The cell is read on every lookup because growth may move the element buffer.
let cell = unsafe {
let data = tvm_ffi::object::ObjectRefCore::data(&self.column);
&*(ObjectArc::as_raw(data) as *const support::SeqCell)
};
let index = op.index as usize;
if index >= cell.size as usize {
return None;
}
// SAFETY: `index` is within the `size` initialized entries.
let entry = unsafe { &*cell.data.add(index) };
(entry.type_index != tvm_ffi::tvm_ffi_sys::TVMFFITypeIndex::kTVMFFINone as i32)
.then_some(entry)
}
/// The value `op` registers in this column, of whatever type, or `None`.
pub(crate) fn get_any(&self, op: &OpObj) -> Option<Any> {
self.entry(op).map(|entry| {
// SAFETY: the borrowed entry is copied, never released.
let entry = std::mem::ManuallyDrop::new(unsafe { Any::from_raw_ffi_any(*entry) });
(*entry).clone()
})
}
}
impl<T: tvm_ffi::type_traits::AnyCompatible> OpAttrMap<T> {
/// `OpAttrMap::get(op, None)`: the value registered for `op`, if any.
pub fn get(&self, op: &OpObj) -> Result<Option<T>> {
let Some(entry) = self.entry(op) else { return Ok(None) };
// SAFETY: `entry` is a live element of the column.
match unsafe { T::try_cast_from_any_view(entry) } {
Ok(value) => Ok(Some(value)),
Err(()) => Err(tvm_ffi::Error::new(
tvm_ffi::TYPE_ERROR,
&format!(
"Op attribute {} of {} has unexpected type {}",
self.name.as_str(),
op.name.as_str(),
T::get_mismatch_type_info(entry)
),
"",
)),
}
}
}