577 lines
23 KiB
C++
577 lines
23 KiB
C++
/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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#ifndef TVM_SCRIPT_IR_BUILDER_TIR_IR_H_
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#define TVM_SCRIPT_IR_BUILDER_TIR_IR_H_
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#include <tvm/ffi/container/tuple.h>
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#include <tvm/ffi/container/variant.h>
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#include <tvm/runtime/tensor.h>
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#include <tvm/script/ir_builder/base.h>
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#include <tvm/tirx/exec_scope.h>
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#include <tvm/tirx/layout.h>
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#include <tvm/tirx/op.h>
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#include <tvm/tirx/script/builder/frame.h>
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#include <tvm/tirx/tirx_stmt.h>
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namespace tvm {
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namespace script {
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namespace ir_builder {
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namespace tirx {
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using tvm::ffi::Tuple;
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using tvm::ffi::Variant;
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using tvm::runtime::Tensor;
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using tvm::tirx::Buffer;
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using tvm::tirx::ExecScope;
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using tvm::tirx::Layout;
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using tvm::tirx::Var;
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/*!
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* \brief The buffer declaration function.
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* \param shape The type of the buffer prior to flattening.
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* \param dtype The data type in the content of the buffer.
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* \param buffer_name The name of the buffer.
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* \param data The pointer to the head of the data.
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* \param strides The strides of each dimension.
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* \param elem_offset The offset in terms of number of dtype elements (including lanes).
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* \param storage_scope The optional storage scope of buffer data pointer.
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* \param align The alignment requirement of data pointer in bytes.
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* \param offset_factor The factor of elem_offset field.
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* \param buffer_type The buffer type.
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* \param axis_separators The separators between input axes when generating flattened output axes.
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* \return The declared buffer.
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*/
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Buffer BufferDecl(ffi::Array<PrimExpr> shape, PrimType dtype, ffi::String buffer_name,
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ffi::Optional<Var> data, ffi::Optional<ffi::Array<PrimExpr>> strides,
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ffi::Optional<PrimExpr> elem_offset, ffi::String storage_scope, int align,
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int offset_factor, ffi::String buffer_type,
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ffi::Optional<ffi::Array<IntImm>> axis_separators,
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ffi::Optional<Layout> layout = std::nullopt,
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ffi::Array<PrimExpr> allocated_addr = {});
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/*!
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* \brief The primitive function statement.
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* \return The PrimFuncFrame.
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*/
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PrimFuncFrame PrimFunc(bool is_private, bool s_tir = false, bool persistent = false);
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/*!
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* \brief The PrimFunc variable arguments adding function.
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* \param name The name of the variable.
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* \param var The variable argument.
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* \return The variable.
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*/
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Var Arg(ffi::String name, Var var);
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/*!
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* \brief The PrimFunc buffer arguments adding function.
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* \param name The name of the buffer.
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* \param buffer The buffer argument.
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* \return The buffer.
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*/
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Buffer Arg(ffi::String name, Buffer buffer);
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/*!
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* \brief The PrimFunc naming statement.
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* \param name The name of the PrimFunc.
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*/
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void FuncName(ffi::String name);
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/*!
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* \brief The PrimFunc annotation statement.
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* \param attrs The annotations of the PrimFunc.
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*/
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void FuncAttrs(ffi::Map<ffi::String, ffi::Any> attrs);
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/*!
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* \brief The PrimFunc return type statement.
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* \param ret_type The return type of the PrimFunc.
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* \return The return type.
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*/
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Type FuncRet(Type ret_type);
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/*!
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* \brief The buffer match statement.
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* \param param The parameter of the PrimFunc to match.
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* \param shape The type of the buffer prior to flattening.
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* \param dtype The data type in the content of the buffer.
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* \param data The pointer to the head of the data.
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* \param strides The strides of each dimension.
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* \param elem_offset The offset in terms of number of dtype elements (including lanes).
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* \param storage_scope The optional storage scope of buffer data pointer.
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* \param align The alignment requirement of data pointer in bytes.
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* \param offset_factor The factor of elem_offset field.
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* \param buffer_type The buffer type.
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* \param axis_separators The separators between input axes when generating flattened output axes.
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* \return The matched buffer.
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*/
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Buffer MatchBuffer(ffi::ObjectRef param, ffi::Array<PrimExpr> shape,
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PrimType dtype = PrimType::Float(32), ffi::Optional<Var> data = std::nullopt,
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ffi::Array<PrimExpr> strides = {}, PrimExpr elem_offset = PrimExpr(),
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ffi::String storage_scope = "global", int align = -1, int offset_factor = 0,
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ffi::String buffer_type = "default",
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ffi::Optional<ffi::Array<IntImm>> axis_separators = std::nullopt,
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ffi::Optional<Layout> layout = std::nullopt);
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/*!
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* \brief The block declaration statement.
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* \param name The name of the block.
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* \param no_realize The flag whether to construct SBlockRealize or SBlock.
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* \return The SBlockFrame.
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*/
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SBlockFrame Block(ffi::String name, bool no_realize = false, ffi::String exec_scope = "");
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void TilePrimitiveCall(tvm::tirx::TilePrimitiveCall op_call);
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ffi::Array<tvm::tirx::Var> KernelId(ffi::Array<PrimExpr> extents, ffi::String parent);
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ffi::Array<tvm::tirx::Var> CtaId(ffi::Array<PrimExpr> extents, ffi::String parent);
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ffi::Array<tvm::tirx::Var> CtaIdInPair();
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ffi::Array<tvm::tirx::Var> WarpId(ffi::Array<PrimExpr> extents, ffi::String parent);
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ffi::Array<tvm::tirx::Var> ThreadId(ffi::Array<PrimExpr> extents, ffi::String parent);
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/*!
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* \brief The block initialization statement.
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* \return The BlockInitFrame.
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*/
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BlockInitFrame Init();
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/*!
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* \brief The block predicate statement.
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* \param predicate The predicate condition.
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*/
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void Where(PrimExpr predicate);
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/*!
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* \brief The block buffer region reading statement.
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* \param buffer_slices The array of buffer regions to read.
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*/
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void Reads(ffi::Array<ffi::ObjectRef> buffer_slices);
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/*!
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* \brief The block buffer region writing statement.
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* \param buffer_slices The array of buffer regions to write.
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*/
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void Writes(ffi::Array<ffi::ObjectRef> buffer_slices);
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/*!
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* \brief The block annotation statement.
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* \param attrs The annotation of the block.
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*/
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void BlockAttrs(ffi::Map<ffi::String, ffi::Any> attrs);
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/*!
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* \brief The buffer allocation function.
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* \param shape The type of the buffer prior to flattening.
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* \param dtype The data type in the content of the buffer.
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* \param data The pointer to the head of the data.
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* \param strides The strides of each dimension.
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* \param elem_offset The offset in terms of number of dtype elements (including lanes).
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* \param storage_scope The optional storage scope of buffer data pointer.
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* \param align The alignment requirement of data pointer in bytes.
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* \param offset_factor The factor of elem_offset field.
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* \param buffer_type The buffer type.
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* \param axis_separators The separators between input axes when generating flattened output axes.
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* \param layout The layout of the buffer.
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* \param allocated_addr The allocated address of the buffer. Might be multi-dimensional.
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* \return The allocated buffer or the AllocBufferFrame if the function is called under
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* T.prim_func(tirx=True).
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*/
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ffi::Variant<Buffer, AllocBufferFrame> SBlockAllocBuffer(
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ffi::Array<PrimExpr> shape, PrimType dtype = PrimType::Float(32),
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ffi::Optional<Var> data = std::nullopt, ffi::Array<PrimExpr> strides = {},
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PrimExpr elem_offset = PrimExpr(), ffi::String storage_scope = "", int align = -1,
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int offset_factor = 0, ffi::String buffer_type = "default",
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ffi::Optional<ffi::Array<IntImm>> axis_separators = std::nullopt,
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ffi::Optional<Layout> layout = std::nullopt, ffi::Array<PrimExpr> allocated_addr = {});
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namespace axis {
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/*!
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* \brief The spatial block axis defining function.
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* \param dom The domain of the iteration variable.
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* \param binding The binding value of the iteration variable.
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* \param dtype The data type of the iteration variable.
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* \return The iteration variable.
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*/
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Var Spatial(Range dom, PrimExpr binding, PrimType dtype = PrimType::Int(32));
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/*!
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* \brief The reduced block axis defining function.
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* \param dom The domain of the iteration variable.
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* \param binding The binding value of the iteration variable.
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* \param dtype The data type of the iteration variable.
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* \return The iteration variable.
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*/
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Var Reduce(Range dom, PrimExpr binding, PrimType dtype = PrimType::Int(32));
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/*!
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* \brief The scanning block axis defining function.
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* \param dom The domain of the iteration variable.
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* \param binding The binding value of the iteration variable.
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* \param dtype The data type of the iteration variable.
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* \return The iteration variable.
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*/
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Var Scan(Range dom, PrimExpr binding, PrimType dtype = PrimType::Int(32));
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/*!
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* \brief The opaque block axis defining function.
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* \param dom The domain of the iteration variable.
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* \param binding The binding value of the iteration variable.
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* \param dtype The data type of the iteration variable.
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* \return The iteration variable.
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*/
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Var Opaque(Range dom, PrimExpr binding, PrimType dtype = PrimType::Int(32));
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/*!
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* \brief The block axis remapping function.
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* \param kinds The types of the iteration variables.
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* \param bindings The binding values of the iteration variables.
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* \param dtype The data types of the iteration variables.
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* \return The iteration variables.
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*/
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ffi::Array<Var> Remap(ffi::String kinds, ffi::Array<PrimExpr> bindings,
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PrimType dtype = PrimType::Int(32));
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} // namespace axis
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/*!
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* \brief The serial For statement.
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* \param start The minimum value of iteration.
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* \param stop The maximum value of iteration.
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* \param annotations The optional annotations of the For statement.
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* \param step The optional step value of iteration.
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* \return The ForFrame.
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*/
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ForFrame Serial(PrimExpr start, PrimExpr stop,
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ffi::Optional<ffi::Map<ffi::String, Any>> annotations = std::nullopt,
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ffi::Optional<PrimExpr> step = std::nullopt);
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/*!
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* \brief The parallel For statement.
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* \param start The minimum value of iteration.
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* \param stop The maximum value of iteration.
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* \param annotations The optional annotations of the For statement.
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* \param step The optional step value of iteration.
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* \return The ForFrame.
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*/
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ForFrame Parallel(PrimExpr start, PrimExpr stop,
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ffi::Optional<ffi::Map<ffi::String, Any>> annotations = std::nullopt,
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ffi::Optional<PrimExpr> step = std::nullopt);
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/*!
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* \brief The vectorized For statement.
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* \param start The minimum value of iteration.
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* \param stop The maximum value of iteration.
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* \param annotations The optional annotations of the For statement.
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* \param step The optional step value of iteration.
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* \return The ForFrame.
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*/
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ForFrame Vectorized(PrimExpr start, PrimExpr stop,
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ffi::Optional<ffi::Map<ffi::String, Any>> annotations = std::nullopt,
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ffi::Optional<PrimExpr> step = std::nullopt);
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/*!
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* \brief The unrolled For statement.
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* \param start The minimum value of iteration.
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* \param stop The maximum value of iteration.
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* \param annotations The optional annotations of the For statement.
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* \param step The optional step value of iteration.
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* \return The ForFrame.
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*/
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ForFrame Unroll(PrimExpr start, PrimExpr stop,
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ffi::Optional<ffi::Map<ffi::String, Any>> annotations = std::nullopt,
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ffi::Optional<PrimExpr> step = std::nullopt);
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/*!
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* \brief The thread-binding For statement.
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* \param start The minimum value of iteration.
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* \param stop The maximum value of iteration.
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* \param thread The thread for loop variable to bind.
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* \param annotations The optional annotations of the For statement.
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* \return The ForFrame.
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*/
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ForFrame ThreadBinding(PrimExpr start, PrimExpr stop, ffi::String thread,
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ffi::Optional<ffi::Map<ffi::String, Any>> annotations = std::nullopt);
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/*!
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* \brief The grid For statement.
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* \param extents The extents of the iteration.
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* \return The ForFrame.
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*/
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ForFrame Grid(ffi::Array<Variant<PrimExpr, ffi::Tuple<PrimExpr, PrimExpr>>> extents);
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/*!
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* \brief The assertion statement.
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* \param condition The assertion condition.
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* \param error_kind The error kind (e.g. "RuntimeError", "TypeError", "ValueError").
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* \param message_parts The error message parts (stored as separate fragments in the IR).
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* \return The AssertFrame.
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*/
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AssertFrame Assert(PrimExpr condition, ffi::String error_kind,
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ffi::Array<ffi::String> message_parts);
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/*!
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* \brief Create a Bind (variable binding).
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*
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* Emits a flat Bind statement to the current frame and returns the bound variable.
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*
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* \param value The value to be bound.
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* \param type_annotation The type annotation of the binding.
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* Usually it is used for fine-grained var typing,
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* particularly, PointerType.
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* \param var The variable to be bound. If not specified, a new variable will be created.
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* \return The bound Var.
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*/
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Var Bind(Expr value, ffi::Optional<Type> type_annotation = std::nullopt,
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ffi::Optional<Var> var = std::nullopt);
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/*!
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* \brief Create an attribute.
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* \param node The node to annotate the attribute.
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* \param attr_key Attribute type key.
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* \param value The value of the attribute.
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* \return The result AttrFrame.
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*/
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AttrFrame Attr(ffi::Any node, ffi::String attr_key, PrimExpr value);
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/*!
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* \brief Mark the device-region entry within the enclosing PrimFunc body.
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* Returns an AttrFrame keyed ``tirx.device_entry`` (value ``Bool(true)``).
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* Subsequent stmts accumulate into the frame's body; the frame is closed
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* by ``PrimFuncFrameNode::ExitWithScope`` which drains leftover frames.
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*
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* Python sugar: ``Tx.device_entry()`` is a flat-call (no ``with``), which
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* auto-enters the frame.
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*/
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AttrFrame DeviceEntry();
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/*!
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* \brief Create a while loop.
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* \param condition The termination condition of the loop.
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* \return The result WhileFrame.
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*/
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WhileFrame While(PrimExpr condition);
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/*!
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* \brief Create a break statement.
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*/
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void Break();
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/*!
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* \brief Create a continue statement.
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*/
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void Continue();
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/*!
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* \brief Create an if statement.
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* \param condition The condition of if statement.
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* \return The result IfFrame.
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*/
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IfFrame If(PrimExpr condition);
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/*!
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* \brief Create a then.
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* \return The result ThenFrame.
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*/
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ThenFrame Then();
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/*!
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* \brief Create an else.
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* \return The result ElseFrame.
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*/
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ElseFrame Else();
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/*!
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* \brief The buffer declaration frame.
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* \param shape The type of the buffer prior to flattening.
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* \param dtype The data type in the content of the buffer.
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* \param buffer_name The name of the buffer.
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* \param data The pointer to the head of the data.
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* \param strides The strides of each dimension.
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* \param elem_offset The offset in terms of number of dtype elements (including lanes).
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* \param storage_scope The optional storage scope of buffer data pointer.
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* \param align The alignment requirement of data pointer in bytes.
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* \param offset_factor The factor of elem_offset field.
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* \param buffer_type The buffer type.
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* \param axis_separators The separators between input axes when generating flattened output axes.
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* \param layout The layout of the buffer.
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* \return The declaration frame.
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*/
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DeclBufferFrame DeclBuffer(ffi::Array<PrimExpr> shape, PrimType dtype, ffi::String buffer_name,
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ffi::Optional<Var> data, ffi::Optional<ffi::Array<PrimExpr>> strides,
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ffi::Optional<PrimExpr> elem_offset, ffi::String storage_scope,
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int align, int offset_factor, ffi::String buffer_type,
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ffi::Optional<ffi::Array<IntImm>> axis_separators,
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ffi::Optional<Layout> layout = std::nullopt,
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ffi::Optional<PrimExpr> allocated_addr = std::nullopt);
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/*!
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* \brief Statement-level buffer allocation (creates an AllocBuffer IR node).
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* \param shape The shape of the buffer to allocate.
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* \param dtype The data type of buffer elements.
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* \param storage_scope The storage scope (e.g., "global", "shared").
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* \param annotations Optional annotations for the allocation.
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* \return The allocated buffer.
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*/
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Buffer AllocBuffer(ffi::Array<PrimExpr> shape, PrimType dtype = PrimType::Float(32),
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ffi::String storage_scope = "global",
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ffi::Optional<ffi::Map<ffi::String, ffi::Any>> annotations = std::nullopt);
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/*!
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* \brief Launch a thread.
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* \param var The iteration variable.
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* \param extent The extent of environment thread.
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* \return The result LaunchThreadFrame.
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*/
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LaunchThreadFrame LaunchThread(Var var, PrimExpr extent);
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/*!
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* \brief Launch a new thread.
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* \param thread_tag The thread type tag.
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* \param extent The extent of environment thread.
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* \return The result LaunchThreadFrame.
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*/
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LaunchThreadFrame LaunchThread(ffi::String thread_tag, PrimExpr extent);
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/*!
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* \brief Compose TIRx op.
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* \param workspace The workspace of the compose op.
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* \param config The config of the compose op.
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* \param dispatch The optional dispatch variant name.
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* \return The result ComposeOpFrame.
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*/
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ComposeOpFrame ComposeOp(ffi::Map<ffi::String, Buffer> workspace,
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ffi::Map<ffi::String, ffi::Any> config,
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ffi::Optional<ffi::String> dispatch = std::nullopt);
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/*!
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* \brief Bind a var to thread env.
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* \param thread_tag The thread type tag.
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* \param dtype The data type of the variable.
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* \return The result variable which gets bound to the thread env.
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*/
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Var EnvThread(ffi::String thread_tag, PrimType dtype = PrimType::Int(32));
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/*!
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* \brief Store data in a buffer.
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* \param buffer The buffer.
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* \param value The value to be stored.
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|
* \param indices The indices location to be stored.
|
|
* \param predicate A vector mask of boolean values indicating which lanes of a vector are to be
|
|
* stored. The number lanes of the mask must be equal to the number of lanes in value.
|
|
*/
|
|
void BufferStore(Buffer buffer, PrimExpr value, ffi::Array<PrimExpr> indices,
|
|
ffi::Optional<PrimExpr> predicate);
|
|
|
|
/*!
|
|
* \brief Evaluate the input expression.
|
|
* \param value The input expression to evaluate.
|
|
*/
|
|
void Evaluate(Expr value);
|
|
|
|
/*!
|
|
* \brief Create a TIR var that represents a pointer
|
|
*
|
|
* \param dtype The optional data type of the pointer. If omitted, construct
|
|
* an opaque handle.
|
|
*
|
|
* \param storage_scope The storage scope of the pointer.
|
|
*
|
|
* \return The pointer.
|
|
*/
|
|
inline Var Handle(ffi::Optional<PrimType> dtype = std::nullopt,
|
|
ffi::String storage_scope = "global") {
|
|
Type type_annotation = dtype.has_value() ? Type(PointerType(dtype.value(), storage_scope))
|
|
: Type(PointerType::VoidPointerTy(storage_scope));
|
|
return tvm::tirx::Var("", type_annotation);
|
|
}
|
|
|
|
inline Var TensorMap() { return tvm::tirx::Var("", PointerType(TensorMapType())); }
|
|
|
|
#define TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(FuncName, DType) \
|
|
inline PrimExpr FuncName(ffi::Optional<PrimExpr> expr = std::nullopt) { \
|
|
PrimType dtype = DType; \
|
|
return expr.has_value() ? tvm::cast(dtype, expr.value()) \
|
|
: tvm::tirx::Var("", dtype).as_or_throw<PrimExpr>(); \
|
|
}
|
|
|
|
#define TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES(DType, Code) \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##8, (PrimType(DLDataType{Code, 8, 1}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##16, (PrimType(DLDataType{Code, 16, 1}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##32, (PrimType(DLDataType{Code, 32, 1}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##64, (PrimType(DLDataType{Code, 64, 1})));
|
|
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES(BFloat, kDLBfloat);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES(Float, kDLFloat);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES(UInt, kDLUInt);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES(Int, kDLInt);
|
|
|
|
#define TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES(FuncName, Code, Size) \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(FuncName##x2, (PrimType(DLDataType{Code, Size, 2}))) \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(FuncName##x4, (PrimType(DLDataType{Code, Size, 4}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(FuncName##x8, (PrimType(DLDataType{Code, Size, 8}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(FuncName##x16, (PrimType(DLDataType{Code, Size, 16}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(FuncName##x32, (PrimType(DLDataType{Code, Size, 32}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(FuncName##x64, (PrimType(DLDataType{Code, Size, 64})));
|
|
|
|
#define TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES_LANES(DType, Code) \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES(DType##8, Code, 8); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES(DType##16, Code, 16); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES(DType##32, Code, 32); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES(DType##64, Code, 64);
|
|
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES_LANES(BFloat, kDLBfloat);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES_LANES(Float, kDLFloat);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES_LANES(UInt, kDLUInt);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_SIZES_LANES(Int, kDLInt);
|
|
|
|
#define TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(DType, Code, Bits) \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType, (PrimType(DLDataType{Code, Bits, 1}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##x2, (PrimType(DLDataType{Code, Bits, 2}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##x4, (PrimType(DLDataType{Code, Bits, 4}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##x8, (PrimType(DLDataType{Code, Bits, 8}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##x16, (PrimType(DLDataType{Code, Bits, 16}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##x32, (PrimType(DLDataType{Code, Bits, 32}))); \
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(DType##x64, (PrimType(DLDataType{Code, Bits, 64})));
|
|
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float8E3M4, kDLFloat8_e3m4, 8);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float8E4M3, kDLFloat8_e4m3, 8);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float8E4M3B11FNUZ, kDLFloat8_e4m3b11fnuz, 8);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float8E4M3FN, kDLFloat8_e4m3fn, 8);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float8E4M3FNUZ, kDLFloat8_e4m3fnuz, 8);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float8E5M2, kDLFloat8_e5m2, 8);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float8E5M2FNUZ, kDLFloat8_e5m2fnuz, 8);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float8E8M0FNU, kDLFloat8_e8m0fnu, 8);
|
|
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float6E2M3FN, kDLFloat6_e2m3fn, 6);
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float6E3M2FN, kDLFloat6_e3m2fn, 6);
|
|
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST_LANES_FIXED_SIZE(Float4E2M1FN, kDLFloat4_e2m1fn, 4);
|
|
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(Boolean, PrimType::Bool());
|
|
TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST(Void, PrimType::Void());
|
|
|
|
#undef TVM_TIRX_IR_BUILDER_DEF_DTYPE_CAST
|
|
|
|
} // namespace tirx
|
|
} // namespace ir_builder
|
|
} // namespace script
|
|
} // namespace tvm
|
|
|
|
#endif // TVM_TIRX_SCRIPT_BUILDER_IR_H_
|