tvm
Classes | Namespaces | Enumerations | Functions | Variables
stmt.h File Reference

TIR statements. More...

#include <tvm/ffi/reflection/registry.h>
#include <tvm/node/script_printer.h>
#include <tvm/tir/expr.h>
#include <string>
#include <type_traits>
#include <utility>
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Classes

class  tvm::tir::StmtNode
 Base node of all statements. More...
 
class  tvm::tir::Stmt
 Container of all statements. More...
 
class  tvm::tir::LetStmtNode
 Let binding, bind var to value, then run body. More...
 
class  tvm::tir::LetStmt
 Managed reference to LetStmtNode. More...
 
class  tvm::tir::AttrStmtNode
 Define certain auxiliary attribute for the body to be a symbolic value. This provide auxiliary information for IR passes that transforms body. More...
 
class  tvm::tir::AttrStmt
 Managed reference to AttrStmtNode. More...
 
class  tvm::tir::AssertStmtNode
 Assert condition, if an error occurs, return the error message. More...
 
class  tvm::tir::AssertStmt
 Managed reference to AssertStmtNode. More...
 
class  tvm::tir::BufferStoreNode
 Store value to the high dimension buffer. More...
 
class  tvm::tir::BufferStore
 Managed reference to BufferStoreNode. More...
 
class  tvm::tir::AllocateNode
 Allocate a buffer that can be used in body. More...
 
class  tvm::tir::Allocate
 Managed reference to AllocateNode. More...
 
class  tvm::tir::DeclBufferNode
 Declare a buffer that can be used in the body. More...
 
class  tvm::tir::DeclBuffer
 Managed reference to DeclBufferNode. More...
 
class  tvm::tir::SeqStmtNode
 The container of seq statement. Represent a sequence of statements. More...
 
class  tvm::tir::EvaluateNode
 Evaluates an expression. This is mostly used for putting a Call node into Stmt. More...
 
class  tvm::tir::Evaluate
 Managed reference to EvaluateNode. More...
 
class  tvm::tir::SeqStmt
 Sequence statement. More...
 
class  tvm::tir::SeqStmt::Flattener
 Helper class to flatten sequence of arguments into Array. More...
 
class  tvm::tir::IfThenElseNode
 IfThenElse statement. More...
 
class  tvm::tir::IfThenElse
 Managed reference to IfThenElseNode. More...
 
class  tvm::tir::ForNode
 A for loop, with possible type annotations. More...
 
class  tvm::tir::For
 Managed reference to ForNode. More...
 
class  tvm::tir::WhileNode
 A While loop. More...
 
class  tvm::tir::While
 Managed reference to WhileNode. More...
 
class  tvm::tir::BufferRegionNode
 Representing the region of multi-dimensional buffer access. More...
 
class  tvm::tir::BufferRegion
 Managed reference to BufferRegionNode. More...
 
class  tvm::tir::MatchBufferRegionNode
 Match introduces a constraint that the source buffer region can be remapped to the data layout specified by the buffer field. The constraint can be checked in later part of lowering (or optionally during runtime). More...
 
class  tvm::tir::MatchBufferRegion
 Managed reference to MatchBufferRegionNode. More...
 
class  tvm::tir::SBlockNode
 A block is a basic schedule unit in TIR. More...
 
class  tvm::tir::SBlock
 Managed reference to SBlockNode. More...
 
class  tvm::tir::SBlockRealizeNode
 A block realization node represents execution of the block at the binding values. More...
 
class  tvm::tir::SBlockRealize
 Managed reference to BlockRealizeNode. More...
 

Namespaces

 tvm
 An object that builds and maintains block scope and StmtSref mapping for Dependence analysis.
 
 tvm::tir
 
 tvm::tir::attr
 PrimFunc specific attribute names.
 

Enumerations

enum class  tvm::tir::ForKind : int {
  tvm::tir::kSerial = 0 , tvm::tir::kParallel = 1 , tvm::tir::kVectorized = 2 , tvm::tir::kUnrolled = 3 ,
  tvm::tir::kThreadBinding = 4
}
 The kind of the loop. More...
 

Functions

bool tvm::tir::attr::IsPragmaKey (const std::string &attr_key)
 Check if attr_key is a pragma key extension. More...
 
PrimExpr tvm::tir::TypeAnnotation (DataType dtype, Span span=Span())
 Create a type annotation expression. More...
 
std::ostream & tvm::tir::operator<< (std::ostream &os, ForKind kind)
 
const char * tvm::tir::ForKind2String (ForKind t)
 

Variables

constexpr const char * tvm::tir::attr::thread_extent = "thread_extent"
 Mark launching extent of thread, used by device API. More...
 
constexpr const char * tvm::tir::attr::virtual_thread = "virtual_thread"
 Mark launching of a virtual thread. More...
 
constexpr const char * tvm::tir::attr::coproc_scope = "coproc_scope"
 Mark region is processed by a co-processor. More...
 
constexpr const char * tvm::tir::attr::coproc_uop_scope = "coproc_uop_scope"
 Mark region creates coprocessor micro ops, can be reused if corresponding variable is independent. More...
 
constexpr const char * tvm::tir::attr::volatile_scope = "volatile_scope"
 Mark the scope as volatile access for certain handle. More...
 
constexpr const char * tvm::tir::attr::extern_scope = "extern_scope"
 Mark the scope as generated by extern primitive. such scope can contain arbitrary ir program and we need to be careful when make certain assumptions about the structure of the program. More...
 
constexpr const char * tvm::tir::attr::compute_scope = "compute_scope"
 Mark the scope as when computation start to happen This can hint some code generator to create a new function for compute. More...
 
constexpr const char * tvm::tir::attr::storage_alignment = "storage_alignment"
 Mark storage alignment requirement of buffers. More...
 
constexpr const char * tvm::tir::attr::device_id = "device_id"
 The allocation device for global malloc in host. More...
 
constexpr const char * tvm::tir::attr::device_type = "device_type"
 The device type. More...
 
constexpr const char * tvm::tir::attr::loop_scope = "loop_scope"
 Mark of loop scope. More...
 
constexpr const char * tvm::tir::attr::reduce_scope = "reduce_scope"
 Mark of reduce scope. More...
 
constexpr const char * tvm::tir::attr::pragma_auto_unroll_max_step = "pragma_auto_unroll_max_step"
 Pragma: auto-unroll, max_step. More...
 
constexpr const char * tvm::tir::attr::pragma_unroll_explicit = "pragma_unroll_explicit"
 Pragma: unroll explicit. More...
 
constexpr const char * tvm::tir::attr::pragma_scope_prefix = "pragma_"
 Mark region is guarded by the pragma extension. More...
 
constexpr const char * tvm::tir::attr::pragma_import_c = "pragma_import_c"
 Import C source or file into the final code gen module. More...
 
constexpr const char * tvm::tir::attr::pragma_import_llvm = "pragma_import_llvm"
 Import llvm source or file into the final code gen module. More...
 
constexpr const char * tvm::tir::attr::pragma_tensor_core = "pragma_tensor_core"
 Try to modify the AST to support Tensor Core. More...
 
constexpr const char * tvm::tir::attr::double_buffer_scope = "double_buffer_scope"
 Marks production of double buffer data. More...
 
constexpr const char * tvm::tir::attr::double_buffer_write = "double_buffer_write"
 Marks region used by double buffer write. More...
 
constexpr const char * tvm::tir::attr::scan_update_scope = "scan_update_scope"
 Mark of scan update scope. More...
 
constexpr const char * tvm::tir::attr::scan_init_scope = "scan_init_scope"
 Mark of scan init scope. More...
 
constexpr const char * tvm::tir::attr::buffer_bound = "buffer_bound"
 Mark stores/loads with theirs bounds.
More...
 
constexpr const char * tvm::tir::attr::buffer_bind_scope = "buffer_bind_scope"
 Bind the buffer specification to the region of the op When this scope occurs, the stmt.node is a ffi::Array<NodeRef> = [buffer, tensor] stmt.value is a tvm_tuple(min0, extent0, min1, extent1, ...). The scope represents that we need to bind the storage region of tensor to buffer. This will affect replacement of some variables inside the scope that corresponds to field of buffer to be the actual expressions of tensor during storage flattening phase. More...
 
constexpr const char * tvm::tir::attr::channel_read_scope = "channel_read_scope"
 channel read scope More...
 
constexpr const char * tvm::tir::attr::channel_read_advance = "channel_read_advance"
 Advance step of channel after end of scope. More...
 
constexpr const char * tvm::tir::attr::channel_write_scope = "channel_write_scope"
 channel write scope More...
 
constexpr const char * tvm::tir::attr::channel_write_advance = "channel_write_advance"
 Advance step of channel after end of scope. More...
 
constexpr const char * tvm::tir::attr::pipeline_stage_scope = "pipeline_stage_scope"
 pipeline stage scope, implies always execution More...
 
constexpr const char * tvm::tir::attr::pipeline_exec_scope = "pipeline_exec_scope"
 pipeline execution scope, implies the scope can be pipelined. More...
 
constexpr const char * tvm::tir::attr::device_scope = "device_scope"
 Mark that it is in the device scope. More...
 
constexpr const char * tvm::tir::attr::async_scope = "async_scope"
 Mark that the attached statement runs asynchronously. More...
 
constexpr const char * tvm::tir::attr::async_commit_queue_scope = "async_commit_queue_scope"
 Annotations for invoking and synchronizing asynchronous operations. More...
 
constexpr const char * tvm::tir::attr::async_wait_queue_scope = "async_wait_queue_scope"
 
constexpr const char * tvm::tir::attr::async_wait_inflight_count = "async_wait_inflight_count"
 
constexpr const char * tvm::tir::attr::fragment_shape = "fragment_shape"
 Mark that the shape of TensorCore fragment. More...
 
constexpr const char * tvm::tir::attr::fragment_layout = "fragment_layout"
 Mark that the layout of TensorCore fragment. More...
 
constexpr const char * tvm::tir::attr::pragma_loop_partition_hint = "pragma_loop_partition_hint"
 Mark that the loop should be partitioned. More...
 

Detailed Description

TIR statements.