blob: dc9440bdeee76f5a0e873e5e62c0a3e0a9ff9724 [file]
/*
* 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.
*/
#include <tvm/ffi/reflection/registry.h>
#include <tvm/relax/analysis.h>
#include <tvm/relax/attrs/op.h>
#include <tvm/relax/distributed/type.h>
#include <tvm/relax/script/builder/ir.h>
#include <tvm/relax/type.h>
#include <tvm/tirx/op.h>
#include "./utils.h"
namespace tvm {
namespace relax {
Expr MakeCallTIRDist(Expr func, Tuple args, ffi::Array<distributed::DTensorType> out_ty_list) {
for (const distributed::DTensorType& ty : out_ty_list) {
const auto* shape = ty->tensor_ty->shape.as<ShapeExprNode>();
TVM_FFI_ICHECK(shape != nullptr)
<< "out_ty of call_tir should have defined ShapeExpr as shape. "
"However, one given type information is "
<< ty;
}
Type out_ty = Type::Missing();
if (out_ty_list.size() == 1) {
out_ty = out_ty_list[0];
} else {
out_ty = TupleType({out_ty_list.begin(), out_ty_list.end()});
}
static const Op& op = Op::Get("relax.call_tir");
return Call(Type::Missing(), op, {func, args}, {}, {out_ty});
}
TVM_FFI_STATIC_INIT_BLOCK() {
namespace refl = tvm::ffi::reflection;
refl::GlobalDef().def("script.ir_builder.relax.distributed.call_tir_dist", MakeCallTIRDist);
}
} // namespace relax
} // namespace tvm