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_INNER_PRODUCT_HPP
  #define GPU_OCL_REF_INNER_PRODUCT_HPP
  
  #include <assert.h>
  
  #include "common/c_types_map.hpp"
  #include "common/primitive.hpp"
  #include "gpu/compute/compute.hpp"
  #include "gpu/gpu_inner_product_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_inner_product_fwd_t : public gpu_primitive_t {
      using gpu_primitive_t::gpu_primitive_t;
      struct pd_t : public gpu_inner_product_fwd_pd_t {
          pd_t(const inner_product_desc_t *adesc, const primitive_attr_t *attr,
                  const inner_product_fwd_pd_t *hint_fwd_pd)
              : gpu_inner_product_fwd_pd_t(adesc, attr, hint_fwd_pd) {}
  
          DECLARE_COMMON_PD_T("ocl:ref:any", ref_inner_product_fwd_t);
  
          status_t init(engine_t *engine) {
              using namespace data_type;
              using namespace prop_kind;
              using namespace data_type;
              assert(engine->kind() == engine_kind::gpu);
              auto *compute_engine
                      = utils::downcast<compute::compute_engine_t *>(engine);
  
              const auto attr_skip_mask = primitive_attr_t::skip_mask_t::oscale
                      | primitive_attr_t::skip_mask_t::post_ops;
  
              bool ok = true
                      && utils::one_of(desc()->prop_kind, forward_training,
                              forward_inference)
                      && set_default_params() == status::success
                      && utils::one_of(true,
                              expect_data_types(
                                      u8, s8, data_type::undef, s8, s32),
                              expect_data_types(
                                      u8, s8, data_type::undef, u8, s32),
                              expect_data_types(
                                      u8, s8, data_type::undef, s32, s32),
                              expect_data_types(
                                      s8, s8, data_type::undef, s8, s32),
                              expect_data_types(
                                      s8, s8, data_type::undef, u8, s32),
                              expect_data_types(
                                      s8, s8, data_type::undef, s32, s32),
                              expect_data_types(
                                      bf16, bf16, data_type::undef, bf16, f32),
                              expect_data_types(
                                      bf16, bf16, data_type::undef, f32, f32),
                              expect_data_types(f32, f32, f32, f32, f32),
                              expect_data_types(f16, f16, f16, f16, f16))
                      && IMPLICATION(with_bias(),
                              utils::one_of(desc()->bias_desc.data_type, u8, s8,
                                      bf16, f16, f32))
                      && attr()->has_default_values(attr_skip_mask)
                      && post_ops_with_binary_ok(
                              attr(), desc()->dst_desc.data_type)
                      && IMPLICATION(!attr()->output_scales_.has_default_values(),
                              utils::one_of(src_md_.data_type, s8, u8)
                                      && attr()->output_scales_.mask_ == 0)
                      && IMPLICATION(desc()->src_desc.data_type == f16,
                              compute_engine->mayiuse(
                                      compute::device_ext_t::khr_fp16));
              if (!ok) 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;
  
          inner_product_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_inner_product_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_inner_product_bwd_data_t : public gpu_primitive_t {
      using gpu_primitive_t::gpu_primitive_t;
      struct pd_t : public gpu_inner_product_bwd_data_pd_t {
          pd_t(const inner_product_desc_t *adesc, const primitive_attr_t *attr,
                  const inner_product_fwd_pd_t *hint_fwd_pd)
              : gpu_inner_product_bwd_data_pd_t(adesc, attr, hint_fwd_pd) {}
  
          DECLARE_COMMON_PD_T("ref:any", ref_inner_product_bwd_data_t);
  
          status_t init(engine_t *engine) {
              using namespace data_type;
              using namespace prop_kind;
              assert(engine->kind() == engine_kind::gpu);
  
              bool ok = true
                      && utils::one_of(
                              this->desc()->prop_kind, backward, backward_data)
                      && this->set_default_params() == status::success
                      && utils::one_of(true,
                              expect_data_types(
                                      bf16, bf16, data_type::undef, bf16, f32),
                              expect_data_types(
                                      f32, bf16, data_type::undef, bf16, f32),
                              expect_data_types(
                                      f32, f32, data_type::undef, f32, f32))
                      && attr()->has_default_values();
              if (!ok) 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;
  
          inner_product_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_inner_product_bwd_data", kernel_ctx);
          if (!kernel_) return status::runtime_error;
  
          return status::success;
      }
  
      status_t execute(const exec_ctx_t &ctx) const override {
          return execute_backward_data(ctx);
      }
  
  private:
      status_t execute_backward_data(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_inner_product_bwd_weights_t : public gpu_primitive_t {
      using gpu_primitive_t::gpu_primitive_t;
      struct pd_t : public gpu_inner_product_bwd_weights_pd_t {
          pd_t(const inner_product_desc_t *adesc, const primitive_attr_t *attr,
                  const inner_product_fwd_pd_t *hint_fwd_pd)
              : gpu_inner_product_bwd_weights_pd_t(adesc, attr, hint_fwd_pd) {}
  
          DECLARE_COMMON_PD_T("ref:any", ref_inner_product_bwd_weights_t);
  
          status_t init(engine_t *engine) {
              using namespace data_type;
              using namespace prop_kind;
              assert(engine->kind() == engine_kind::gpu);
              bool ok = true
                      && utils::one_of(
                              this->desc()->prop_kind, backward, backward_weights)
                      && this->set_default_params() == status::success
                      && utils::one_of(true,
                              expect_data_types(bf16, bf16, bf16, bf16, f32),
                              expect_data_types(bf16, f32, f32, bf16, f32),
                              expect_data_types(f32, f32, f32, f32, f32))
                      && attr()->has_default_values();
              if (!ok) 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;
  
          inner_product_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_inner_product_bwd_weights", kernel_ctx);
          if (!kernel_) return status::runtime_error;
  
          return status::success;
      }
  
      status_t execute(const exec_ctx_t &ctx) const override {
          return execute_backward_weights(ctx);
      }
  
  private:
      status_t execute_backward_weights(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
  