text: /*
  Copyright 2020 The OneFlow 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.
  */
  #ifndef ONEFLOW_USER_KERNELS_RANDOM_MASK_LIKE_KERNEL_H_
  #define ONEFLOW_USER_KERNELS_RANDOM_MASK_LIKE_KERNEL_H_
  
  #include "oneflow/user/kernels/random_mask_generator.h"
  #include "oneflow/core/framework/framework.h"
  #include "oneflow/core/kernel/cuda_graph_support.h"
  #include "oneflow/core/ep/include/device.h"
  
  namespace oneflow {
  
  class RandomMaskLikeKernelState : public user_op::OpKernelState {
   public:
    explicit RandomMaskLikeKernelState(const std::shared_ptr<one::Generator>& generator)
        : generator_(generator) {}
  
    const std::shared_ptr<one::Generator>& generator() const { return generator_; }
  
   private:
    std::shared_ptr<one::Generator> generator_;
  };
  
  namespace {
  
  template<DeviceType device_type>
  class RandomMaskLikeKernel final : public user_op::OpKernel, public user_op::CudaGraphSupport {
   public:
    RandomMaskLikeKernel() = default;
    ~RandomMaskLikeKernel() = default;
  
    std::shared_ptr<user_op::OpKernelState> CreateOpKernelState(
        user_op::KernelInitContext* ctx) const override {
      const auto& generator = CHECK_JUST(one::MakeGenerator(device_type));
      generator->set_current_seed(ctx->Attr<int64_t>("seed"));
      return std::make_shared<RandomMaskLikeKernelState>(generator);
    }
  
   private:
    void Compute(user_op::KernelComputeContext* ctx, user_op::OpKernelState* state,
                 const user_op::OpKernelCache*) const override {
      const user_op::Tensor* like = ctx->Tensor4ArgNameAndIndex("like", 0);
      user_op::Tensor* out = ctx->Tensor4ArgNameAndIndex("out", 0);
      int64_t elem_cnt = like->shape().elem_cnt();
      bool* mask = out->mut_dptr<bool>();
      auto* random_mask_like_state = dynamic_cast<RandomMaskLikeKernelState*>(state);
      CHECK_NOTNULL(random_mask_like_state);
      const auto& generator = random_mask_like_state->generator();
      CHECK_NOTNULL(generator);
      auto* stream = ctx->stream();
      const auto device_index = stream->device()->device_index();
      auto random_mask_like_gen =
          std::make_shared<RandomMaskGenerator<device_type>>(generator, device_index);
      random_mask_like_gen->Generate(stream, elem_cnt, ctx->Attr<float>("rate"), mask);
    }
    bool AlwaysComputeWhenAllOutputsEmpty() const override { return false; }
  };
  
  }  // namespace
  }  // namespace oneflow
  
  #endif  // ONEFLOW_USER_KERNELS_RANDOM_MASK_LIKE_KERNEL_H_
  