text: /*******************************************************************************
  * Copyright 2019-2021 Intel Corporation
  *
  * 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 GPU_OCL_REF_POOLING_HPP
  #define GPU_OCL_REF_POOLING_HPP
  
  #include "common/c_types_map.hpp"
  #include "common/primitive.hpp"
  #include "gpu/compute/compute.hpp"
  #include "gpu/gpu_pooling_pd.hpp"
  #include "gpu/gpu_primitive.hpp"
  #include "gpu/gpu_resource.hpp"
  #include "gpu/ocl/ocl_stream.hpp"
  #include "gpu/ocl/ocl_utils.hpp"
  #include "gpu/primitive_conf.hpp"
  
  namespace dnnl {
  namespace impl {
  namespace gpu {
  namespace ocl {
  
  struct ref_pooling_fwd_t : public gpu_primitive_t {
      using gpu_primitive_t::gpu_primitive_t;
      struct pd_t : public gpu_pooling_fwd_pd_t {
          pd_t(const pooling_v2_desc_t *adesc, const primitive_attr_t *attr,
                  const pooling_fwd_pd_t *hint_fwd_pd)
              : gpu_pooling_fwd_pd_t(adesc, attr, hint_fwd_pd) {}
  
          DECLARE_COMMON_PD_T("ocl:ref", ref_pooling_fwd_t);
  
          status_t init(engine_t *engine) {
              using namespace data_type;
              using namespace prop_kind;
              using namespace alg_kind;
              auto src_data_t = src_md()->data_type;
              auto dst_data_t = dst_md()->data_type;
              auto acc_data_t = desc()->accum_data_type;
  
              const auto attr_skip_mask = primitive_attr_t::skip_mask_t::post_ops;
  
              bool ok = set_default_params() == status::success
                      && utils::one_of(desc()->prop_kind, forward_training,
                              forward_inference)
                      && utils::one_of(desc()->alg_kind, pooling_max,
                              pooling_avg_include_padding,
                              pooling_avg_exclude_padding)
                      && IMPLICATION(utils::one_of(src_data_t, f16, s8, u8, s32),
                              desc()->prop_kind == forward_inference)
                      && IMPLICATION(src_data_t != dst_data_t,
                              desc()->prop_kind == forward_inference)
                      && IMPLICATION(src_data_t == bf16, src_data_t == dst_data_t)
                      && IMPLICATION(utils::one_of(src_data_t, s8, u8),
                              utils::one_of(dst_data_t, s8, u8, f16, f32))
                      && IMPLICATION(src_data_t == f16,
                              utils::one_of(dst_data_t, s8, u8, f16))
                      && IMPLICATION(src_data_t == f32,
                              utils::one_of(dst_data_t, s8, u8, f32))
                      && IMPLICATION(utils::one_of(f32, src_data_t, dst_data_t),
                              acc_data_t == f32)
                      && IMPLICATION(utils::one_of(src_data_t, s8, u8)
                                      && dst_data_t != f32,
                              acc_data_t == s32)
                      && attr()->has_default_values(attr_skip_mask)
                      && post_ops_with_binary_ok(attr(), dst_md()->data_type, 5);
              if (!ok) return status::unimplemented;
  
              bool is_training = desc_.prop_kind == forward_training;
              if (desc()->alg_kind == pooling_max && is_training)
                  init_default_ws(s32);
  
              return init_conf(engine);
          }
  
          status_t init_conf(engine_t *engine);
          status_t init_kernel_ctx(compute::kernel_ctx_t &kernel_ctx) const;
  
          pool_conf_t conf;
          offsets_t off;
      };
  
      status_t init(engine_t *engine) override {
          compute::kernel_ctx_t kernel_ctx;
          status_t status = pd()->init_kernel_ctx(kernel_ctx);
          CHECK(status);
  
          create_kernel(engine, &kernel_, "ref_pooling_fwd", kernel_ctx);
          if (!kernel_) return status::runtime_error;
  
          return status::success;
      }
  
      status_t execute(const exec_ctx_t &ctx) const override {
          return execute_forward(ctx);
      }
  
  private:
      status_t execute_forward(const exec_ctx_t &ctx) const;
      const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }
      compute::kernel_t kernel_;
  };
  
  struct ref_pooling_bwd_t : public gpu_primitive_t {
      using gpu_primitive_t::gpu_primitive_t;
      struct pd_t : public gpu_pooling_bwd_pd_t {
          pd_t(const pooling_v2_desc_t *adesc, const primitive_attr_t *attr,
                  const pooling_fwd_pd_t *hint_fwd_pd)
              : gpu_pooling_bwd_pd_t(adesc, attr, hint_fwd_pd) {}
  
          DECLARE_COMMON_PD_T("ocl:ref:any", ref_pooling_bwd_t);
  
          status_t init(engine_t *engine) {
              using namespace prop_kind;
              using namespace alg_kind;
  
              bool ok = set_default_params() == status::success
                      && utils::one_of(desc()->prop_kind, backward_data)
                      && utils::one_of(desc()->alg_kind, pooling_max,
                              pooling_avg_include_padding,
                              pooling_avg_exclude_padding)
                      && (utils::everyone_is(data_type::f32,
                                  diff_dst_md()->data_type,
                                  diff_src_md()->data_type)
                              || utils::everyone_is(data_type::bf16,
                                      diff_dst_md()->data_type,
                                      diff_src_md()->data_type))
                      && attr()->has_default_values();
              if (!ok) return status::unimplemented;
  
              if (desc()->alg_kind == pooling_max) {
                  init_default_ws(data_type::s32);
                  if (!compare_ws(hint_fwd_pd_)) return status::unimplemented;
              }
  
              return init_conf(engine);
          }
  
          status_t init_conf(engine_t *engine);
          status_t init_kernel_ctx(compute::kernel_ctx_t &kernel_ctx) const;
  
          pool_conf_t conf;
          offsets_t off;
      };
  
      status_t init(engine_t *engine) override {
          compute::kernel_ctx_t kernel_ctx;
          status_t status = pd()->init_kernel_ctx(kernel_ctx);
          CHECK(status);
  
          create_kernel(engine, &kernel_, "ref_pooling_bwd", kernel_ctx);
          if (!kernel_) return status::runtime_error;
  
          return status::success;
      }
  
      status_t execute(const exec_ctx_t &ctx) const override {
          return execute_backward(ctx);
      }
  
  private:
      status_t execute_backward(const exec_ctx_t &ctx) const;
      const pd_t *pd() const { return (const pd_t *)primitive_t::pd().get(); }
      compute::kernel_t kernel_;
  };
  
  } // namespace ocl
  } // namespace gpu
  } // namespace impl
  } // namespace dnnl
  
  #endif
  
  // vim: et ts=4 sw=4 cindent cino+=l0,\:4,N-s
  