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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 src/ir/tensor_type.cc
* \brief The type system AST nodes of Relay.
*/
#include <tvm/ir/tensor_type.h>
#include <tvm/runtime/registry.h>
#include <tvm/tir/op.h>
namespace tvm {
using tvm::ReprPrinter;
using namespace tvm::runtime;
TensorType::TensorType(Array<PrimExpr> shape, DataType dtype) {
ObjectPtr<TensorTypeNode> n = make_object<TensorTypeNode>();
n->shape = std::move(shape);
n->dtype = std::move(dtype);
data_ = std::move(n);
}
TensorType TensorType::Scalar(DataType dtype) { return TensorType({}, dtype); }
PrimExpr TensorTypeNode::Size() const {
if (shape.size() == 0) {
return tir::make_const(DataType::Int(64), 1);
}
PrimExpr size = shape[0];
for (size_t i = 1; i < shape.size(); ++i) {
size *= shape[i];
}
return size;
}
TVM_REGISTER_NODE_TYPE(TensorTypeNode);
TVM_REGISTER_GLOBAL("ir.TensorType").set_body_typed([](Array<PrimExpr> shape, DataType dtype) {
return TensorType(shape, dtype);
});
TVM_STATIC_IR_FUNCTOR(ReprPrinter, vtable)
.set_dispatch<TensorTypeNode>([](const ObjectRef& ref, ReprPrinter* p) {
auto* node = static_cast<const TensorTypeNode*>(ref.get());
p->stream << "TensorType(" << node->shape << ", " << node->dtype << ")";
});
} // namespace tvm