sqrt_op.cc 2.2 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed 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.

15
#include "lite/kernels/npu/bridges/graph.h"
16
#include "lite/kernels/npu/bridges/registry.h"
17
#include "lite/kernels/npu/bridges/utility.h"
18 19 20

namespace paddle {
namespace lite {
21
namespace subgraph {
22 23
namespace npu {

24
int SqrtConverter(void* ctx, OpLite* op, KernelBase* kernel) {
25 26 27 28
  CHECK(ctx != nullptr);
  CHECK(op != nullptr);
  auto graph = static_cast<Graph*>(ctx);
  auto op_info = op->op_info();
29
  auto op_type = op_info->Type();
30
  auto scope = op->scope();
31
  VLOG(3) << "[NPU] Converting " + op_type + "...";
32

33 34 35 36 37 38 39 40 41 42 43 44 45
  // Get input and output vars and op attributes
  auto x_name = op_info->Input("X").front();
  auto x_type = kernel->GetInputDeclType("X");
  CHECK(x_type->precision() == PRECISION(kFloat));
  CHECK(x_type->layout() == DATALAYOUT(kNCHW));
  auto x = scope->FindMutableTensor(x_name);
  auto x_dims = x->dims();
  auto out_name = op_info->Output("Out").front();
  auto out_type = kernel->GetOutputDeclType("Out");
  CHECK(out_type->precision() == PRECISION(kFloat));
  CHECK(out_type->layout() == DATALAYOUT(kNCHW));

  // X node
46 47 48
  std::shared_ptr<Node> x_node = nullptr;
  if (graph->Has(x_name)) {
    x_node = graph->Get(x_name);
49
  } else {
50
    x_node = graph->Add(x_name, *x);
51 52 53
  }

  // Sqrt node
54 55 56
  auto sqrt_node = graph->Add<ge::op::Sqrt>(out_name);
  auto sqrt_op = sqrt_node->data<ge::op::Sqrt>();
  sqrt_op->set_input_x(*x_node->data());
57
  return SUCCESS;
58 59 60
}

}  // namespace npu
61
}  // namespace subgraph
62 63 64
}  // namespace lite
}  // namespace paddle

65 66 67
REGISTER_SUBGRAPH_BRIDGE(sqrt,
                         kNPU,
                         paddle::lite::subgraph::npu::SqrtConverter);