test_helper.h 2.1 KB
Newer Older
Y
Yan Chunwei 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
// 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.

#pragma once

#include <memory>
#include <random>
#include <string>
#include <vector>
#include "lite/core/op_lite.h"

namespace paddle {
namespace lite {
Z
zhupengyang 已提交
25
namespace kernels {
Y
Yan Chunwei 已提交
26
namespace npu {
Z
zhupengyang 已提交
27
namespace bridges {
Y
Yan Chunwei 已提交
28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61

template <typename T>
std::shared_ptr<T> CreateOp(const cpp::OpDesc& opdesc, lite::Scope* scope) {
  auto op = std::make_shared<T>(opdesc.Type());
  op->SetValidPlaces({Place{TARGET(kHost), PRECISION(kFloat)},
                      Place{TARGET(kARM), PRECISION(kFloat)},
                      Place{TARGET(kNPU), PRECISION(kFloat)}});
  CHECK(op->Attach(opdesc, scope));
  CHECK(op->CheckShape());
  CHECK(op->InferShape());
  return op;
}

// T is the target data type
// R is the range data type, e.g. int, half
template <typename T, typename R = float>
void FillTensor(Tensor* x,
                T lower = static_cast<T>(-2),
                T upper = static_cast<T>(2)) {
  static unsigned int seed = 100;
  std::mt19937 rng(seed++);
  std::uniform_real_distribution<double> uniform_dist(0, 1);

  T* x_data = x->mutable_data<T>();
  for (int i = 0; i < x->dims().production(); ++i) {
    auto r = uniform_dist(rng) * (upper - lower) + lower;
    x_data[i] = static_cast<T>(static_cast<R>(r));
  }
}

void LauchOp(const std::shared_ptr<lite::OpLite> op,
             const std::vector<std::string>& input_var_names,
             const std::vector<std::string>& output_var_names);

Z
zhupengyang 已提交
62
}  // namespace bridges
Y
Yan Chunwei 已提交
63
}  // namespace npu
Z
zhupengyang 已提交
64
}  // namespace kernels
Y
Yan Chunwei 已提交
65 66
}  // namespace lite
}  // namespace paddle