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/*
* 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.
*/
/*!
* \file ir_utils.h
* \brief Helper functions to construct and compose IR nodes.
*/
#ifndef TVM_TIR_TRANSFORM_IR_UTILS_H_
#define TVM_TIR_TRANSFORM_IR_UTILS_H_
#include <tvm/arith/int_set.h>
#include <tvm/arith/int_solver.h>
#include <tvm/ffi/container/tuple.h>
#include <tvm/ir/with_context.h>
#include <tvm/runtime/device_api.h>
#include <tvm/s_tir/stmt.h>
#include <tvm/tirx/builtin.h>
#include <tvm/tirx/expr.h>
#include <tvm/tirx/function.h>
#include <tvm/tirx/layout.h>
#include <tvm/tirx/op.h>
#include <limits>
#include <optional>
#include <string>
#include <unordered_map>
#include <utility>
#include <vector>
namespace tvm {
namespace tirx {
/*!
* \brief combine the nest stmt, whose body is not defined.
* \param nest A list of For and Bind, whose body is not defined.
* \param body body
* \return The combined Stmt
*/
Stmt MergeNest(const std::vector<Stmt>& nest, Stmt body);
/*!
* \brief combine the nest stmt, whose body is not defined.
* \param nest A list of For and Bind, whose body is not defined.
* \param body body
* \return The combined Stmt
*/
Stmt MergeNest(const std::vector<std::vector<Stmt>>& nest, Stmt body);
/*!
* \brief update array with an unary function
* \param arr array
* \param fupdate an unary function
* \tparam T type of array element
* \tparam F type of the unary function
* \return if update happens, return the new array, else return the
* original array
*/
template <typename T, typename F>
inline ffi::Array<T> UpdateArray(ffi::Array<T> arr, F fupdate) {
std::vector<T> new_arr(arr.size());
bool changed = false;
for (size_t i = 0; i < arr.size(); ++i) {
T old_elem = arr[i];
T new_elem = fupdate(old_elem);
if (!new_elem.same_as(old_elem)) changed = true;
new_arr[i] = new_elem;
}
if (!changed) {
return arr;
} else {
return ffi::Array<T>(new_arr);
}
}
/*!
* \brief Get construct from struct
* \param dtype The data type.
* \param handle the struct handle.
* \param index the offset index.
* \param kind The data kind.
* \return the get expression.
*/
inline Expr TVMStructGet(Type type, Var handle, int index, builtin::TVMStructFieldKind kind) {
ffi::Array<Expr> args = {handle, IntImm::Int32(index), IntImm::Int32(static_cast<int>(kind))};
return Call(std::move(type), builtin::tvm_struct_get(), args);
}
inline PrimExpr TVMStructGet(PrimType type, Var handle, int index,
builtin::TVMStructFieldKind kind) {
return TVMStructGet(Type(type), std::move(handle), index, kind).as_or_throw<PrimExpr>();
}
/*!
* \brief Address of handle + offset
* \param handle the array handle.
* \param dtype The data type.
* \param offset the offset index.
*/
inline Call AddressOffset(Var handle, PrimType dtype, int offset) {
PrimExpr offset_expr = IntImm::Int32(offset * dtype.lanes());
ffi::Array<PrimExpr> shape = {offset_expr + 1};
auto pointer_type = handle->ty.as_or_throw<PointerType>();
BufferVar dummy_buf(handle->name,
BufferType(pointer_type->storage_scope, dtype, shape, {}, 0, 0, 0));
BufferLoad buf_load(dummy_buf, {offset_expr});
return Call(handle->ty, builtin::address_of(), {buf_load});
}
/*!
* \brief Address of handle + offset
* \param handle the array handle.
* \param dtype The data type.
* \param offset the offset index.
*/
inline Call AddressOffset(Var handle, PrimType dtype, PrimExpr offset) {
if (dtype.lanes() != 1) {
PrimType offset_ty = offset.ty();
offset = offset * IntImm(offset_ty, dtype.lanes());
offset = Ramp(offset, IntImm(offset_ty, 1), dtype.lanes());
}
ffi::Array<PrimExpr> shape = {offset + 1};
auto pointer_type = handle->ty.as_or_throw<PointerType>();
BufferVar dummy_buf(handle->name, BufferType(pointer_type->storage_scope, dtype.WithLanes(1),
shape, {}, 0, 0, 0));
BufferLoad buf_load(dummy_buf, {offset});
return Call(handle->ty, builtin::address_of(), {buf_load});
}
/*!
* \brief Set value into struct.
* \param handle the struct handle.
* \param index the offset index.
* \param kind The data kind.
* \param value The value to be set.
* \return the set stmt.
*/
inline Stmt TVMStructSet(Var handle, int index, builtin::TVMStructFieldKind kind, Expr value) {
ffi::Array<Expr> args = {handle, IntImm::Int32(index), IntImm::Int32(static_cast<int>(kind)),
value};
return Evaluate(Call(PrimType::Int(32), builtin::tvm_struct_set(), args).as_or_throw<PrimExpr>());
}
/*!
* \brief Get the type that is passed around TVM ffi::Function API.
* \param t The original type.
* \return The corresponding API type.
*/
inline PrimType APIType(const PrimType& t) {
TVM_FFI_ICHECK(!t.IsVoid()) << "Cannot pass void type through packed API.";
TVM_FFI_ICHECK_EQ(t.lanes(), 1) << "Cannot pass vector type through packed API.";
if (t.MatchesCode(DLDataTypeCode::kDLBool, DLDataTypeCode::kDLUInt, DLDataTypeCode::kDLInt)) {
return PrimType::Int(64);
}
TVM_FFI_ICHECK_EQ(t.code(), DLDataTypeCode::kDLFloat);
return PrimType::Float(64);
}
/*!
* \brief Rule to get allocation alignment requirement for a given const array.
* \param type The type of allocation.
* \param const_size The constant size of the array.
* \return the alignment
*/
inline int GetTempAllocaAlignment(const PrimType& type, int32_t const_size) {
int align = runtime::kTempAllocaAlignment;
if (const_size > 0) {
int64_t const_s = static_cast<int64_t>(const_size) * type.StorageBytes();
while (align > const_s) {
align = align / 2;
}
}
return align;
}
/*!
* \brief Create an int32 constant
* \param index the value of the constant
* \return the PrimExpr that represents the constant
*/
inline PrimExpr ConstInt32(size_t index) {
TVM_FFI_ICHECK_LE(index, std::numeric_limits<int>::max());
return IntImm::Int32(static_cast<int>(index));
}
/*!
* \brief Allocate TVMValues on the stack
* \param ret_type exact pointer type returned by the allocation
* \param type type of allocation
* \param num number of TVMValues to allocate
* \return Call representing the allocated pointer
*/
inline Call StackAlloca(Type ret_type, std::string type, size_t num) {
ffi::Array<PrimExpr> args = {StringImm(type), ConstInt32(num)};
return Call(std::move(ret_type), builtin::tvm_stack_alloca(), args);
}
/*!
* \brief Convert a IR node to be SSA form.
* \param stmt The source statement to be converted.
* \return The converted form.
*/
Stmt ConvertSSA(Stmt stmt);
/*!
* \brief Return the storage scope associated with a buffer variable.
* \param buffer_var The input buffer variable.
* \return A string representing the storage scope of this buffer variable.
*/
ffi::String GetPtrStorageScope(Var buffer_var);
/*!
* \brief Convert match buffer target buffer access indices to original one.
* \param indices The indices of the target buffer
* \return The indices of source buffer.
*/
ffi::Array<PrimExpr> ConvertIndices(const MatchBufferRegion& match_buffer,
const ffi::Array<PrimExpr>& indices);
/*!
* \brief Convert match buffer target buffer region to original one.
* \param region The sub-region of the target buffer
* \return The region of source buffer.
*/
Region ConvertRegion(const MatchBufferRegion& match_buffer, const Region& region);
/*!
* \brief Get stride aware buffer allocation shape from buffer.
* \param buffer The buffer object.
* \return shape The shape considering buffer strides.
*/
ffi::Array<PrimExpr> GetBufferAllocationShape(const BufferVar& buffer);
/*!
* \brief Context helper to update domain map within conditional scope.
* Assume the condition is `0 <= i && i < 9` and domain of i is [0, 20], Then
* `With<ConditionalBoundsContext> ctx(condition, &relax_map, &hint_map, &constraints)`
* step into scope where dom_map[i] is [0, 8]; and
* `With<ConditionalBoundsContext> ctx(!condition, &relax_map, &hint_map, &constraints)`
* step into scope where dom_map[i] is [9, 20]
*/
class ConditionalBoundsContext {
private:
friend class With<ConditionalBoundsContext>;
/*!
* \brief Construct a condition bounds context.
* \param condition The condition holds on true branch.
* \param relax_map The domain map for relaxed vars to update.
* \param hint_map The domain map for free vars to update.
* \param pending_conditions The stack of unresolved constraints.
*/
ConditionalBoundsContext(const PrimExpr& condition,
std::unordered_map<const VarNode*, arith::IntSet>* relax_map,
std::unordered_map<const VarNode*, arith::IntSet>* hint_map,
std::vector<PrimExpr>* pending_constraints);
void EnterWithScope();
void ExitWithScope();
/*! \brief Helper to solve related variable's bound within conditional scope.*/
ffi::Optional<arith::IntConstraints> TrySolveCondition();
/*! \brief the condition holds on true branch. */
const PrimExpr& condition_;
/*! \brief domain map for relaxed vars to update */
std::unordered_map<const VarNode*, arith::IntSet>* relax_map_;
/*! \brief domain map for free vars to update */
std::unordered_map<const VarNode*, arith::IntSet>* hint_map_;
/*! \brief unresolved condition stack */
std::vector<PrimExpr>* pending_conditions_;
/*! \brief used to record and restore original var bounds */
std::unordered_map<const VarNode*, arith::IntSet> origin_map_;
/*! \brief used to record unresolved conditions num. */
size_t origin_pending_conditions_num_;
};
// Information of tensor core fragment.
struct FragmentInfo {
// fragment shape
int m, n, k;
// fragment layout (row-major or column-major)
std::string layout;
// scope of the fragment (wmma.matrix_a, wmma.matrix_b, or wmma.accumulator)
std::string scope;
FragmentInfo() = default;
FragmentInfo(int _m, int _n, int _k, const std::string& _layout, const std::string& _scope)
: m(_m), n(_n), k(_k), layout(_layout), scope(_scope) {}
int GetSize() const {
if (scope == "wmma.matrix_a") {
return m * k;
} else if (scope == "wmma.matrix_b") {
return n * k;
} else if (scope == "wmma.accumulator") {
return m * n;
} else {
TVM_FFI_ICHECK(0);
throw;
}
}
};
/*!
* \brief Extract information of tensor core fragment from the IR.
* \param stmt The stmt to visit.
* \return Map from buffer variables to the fragment info.
*/
std::unordered_map<const VarNode*, FragmentInfo> GetTensorCoreFragmentInfo(const Stmt& stmt);
// Return the queue id and the in-flight count associated with the given
// s_tir::attr::async_wait_queue_scope annotation.
std::pair<PrimExpr, PrimExpr> GetAsyncWaitAttributes(const AttrStmtNode* op);
/*! \brief The quad used by StorageAlign for (buffer_idx, axis, factor, offset) */
using StorageAlignTuple = ffi::Tuple<int32_t, int32_t, int32_t, int32_t>;
/*! \brief A list of StorageAlignTuple, used by StorageAlign */
using StorageAlignAnnotation = ffi::Array<StorageAlignTuple>;
/*!
* \brief Collect storage alignment annotations for all buffer vars within body.
* \param body The stmt to collect.
* \return The result dict from buffer var to storage align annotations.
*/
std::unordered_map<Var, StorageAlignAnnotation> CollectStorageAlignAnnotation(const Stmt& body);
/*!
* \brief Split string separated by "," to get wmma fragment dimension size.
* \param shape_str The string to split.
* \param scope The scope to match.
* \return The result pair of fragment dimension size.
*/
std::pair<int32_t, int32_t> GetWmmaFragmentDimSize(const std::string& shape_str,
const std::string& scope);
/*! \brief Check if a PrimFunc is a host function
*
* \param func The function to be inspected
*
* \return True if the function is known to run on the host, false if
* the function is known to run on the device. If it cannot be
* determined (e.g. a function without a tvm::attr::kTarget
* attribute), returns std::nullopt.
*/
std::optional<bool> IsHostFunc(const PrimFunc& func);
} // namespace tirx
} // namespace tvm
#endif // TVM_TIR_TRANSFORM_IR_UTILS_H_