Publishing 2019 R1 content
[platform/upstream/dldt.git] / inference-engine / thirdparty / mkl-dnn / src / cpu / jit_avx512_core_u8s8s32x_wino_convolution.hpp
index 83392ab..5c1c8cb 100644 (file)
@@ -23,7 +23,6 @@
 #include "cpu_convolution_pd.hpp"
 #include "cpu_engine.hpp"
 #include "mkldnn_thread.hpp"
-#include "scratchpad.hpp"
 #include "type_helpers.hpp"
 #include "utils.hpp"
 
@@ -39,20 +38,18 @@ struct jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t;
 struct jit_avx512_core_u8s8s32x_wino_conv_src_trans_t;
 struct jit_avx512_core_u8s8s32x_wino_conv_dst_trans_t;
 
-template <bool with_relu, data_type_t dst_data_type>
-struct _jit_avx512_core_u8s8s32x_wino_convolution_fwd_t : public cpu_primitive_t {
-    struct pd_t : public _cpu_convolution_fwd_pd_t<with_relu> {
-        pd_t(engine_t *engine, const typename pd_t::base_desc_t *adesc,
+template <data_type_t dst_data_type>
+struct jit_avx512_core_u8s8s32x_wino_convolution_fwd_t : public cpu_primitive_t {
+    struct pd_t : public cpu_convolution_fwd_pd_t {
+        pd_t(engine_t *engine, const convolution_desc_t *adesc,
                 const primitive_attr_t *attr,
                 const typename pd_t::base_class *hint_fwd_pd)
-            :  _cpu_convolution_fwd_pd_t<with_relu>(engine, adesc, attr,
-            hint_fwd_pd)
+            :  cpu_convolution_fwd_pd_t(engine, adesc, attr, hint_fwd_pd)
             , jcp_()
         {}
         DECLARE_COMMON_PD_T(
                 JIT_IMPL_NAME_HELPER("jit_int8_wino:", avx512_core, ""),
-                _jit_avx512_core_u8s8s32x_wino_convolution_fwd_t<with_relu,
-                dst_data_type>);
+                jit_avx512_core_u8s8s32x_wino_convolution_fwd_t<dst_data_type>);
 
         virtual status_t init() override {
             using namespace prop_kind;
@@ -60,28 +57,39 @@ struct _jit_avx512_core_u8s8s32x_wino_convolution_fwd_t : public cpu_primitive_t
             assert(this->engine()->kind() == engine_kind::cpu);
             bool ok = true
                 && this->set_default_params() == status::success
-                && utils::one_of(this->cdesc_().prop_kind,
+                && utils::one_of(this->desc()->prop_kind,
                                     forward_training, forward_inference)
-                && this->cdesc_().alg_kind == alg_kind::convolution_winograd
+                && utils::one_of(this->desc()->alg_kind,
+                           alg_kind::convolution_auto,
+                           alg_kind::convolution_winograd)
                 && !this->has_zero_dim_memory()
-                && this->cdesc_().src_desc.data_type == data_type::u8
-                && this->cdesc_().dst_desc.data_type == dst_data_type
-                && this->cdesc_().weights_desc.data_type == data_type::s8
+                && this->desc()->src_desc.data_type == data_type::u8
+                && this->desc()->dst_desc.data_type == dst_data_type
+                && this->desc()->weights_desc.data_type == data_type::s8
                 && IMPLICATION(this->with_bias(),
-                    utils::one_of(this->cdesc_().bias_desc.data_type,
+                    utils::one_of(this->desc()->bias_desc.data_type,
                                                 data_type::f32, data_type::s32,
                                                 data_type::s8, data_type::u8))
-                && this->cdesc_().accum_data_type == data_type::s32;
+                && this->desc()->accum_data_type == data_type::s32;
 
             if (!ok) return status::unimplemented;
 
-            return jit_conf();
+            status_t status = jit_conf();
+            if (status != status::success) return status;
+
+            init_scratchpad();
+
+            if (status == status::success
+                    && this->desc()->alg_kind == alg_kind::convolution_auto)
+                this->set_alg_kind(alg_kind::convolution_winograd);
+            return status;
         }
 
         jit_conv_conf_2x3_wino_t jcp_;
 
     protected:
         status_t jit_conf();
+        void init_scratchpad();
 
         virtual status_t set_default_params() override {
             using namespace memory_format;
@@ -100,42 +108,28 @@ struct _jit_avx512_core_u8s8s32x_wino_convolution_fwd_t : public cpu_primitive_t
     typedef typename prec_traits<data_type::s32>::type acc_data_t;
     typedef typename prec_traits<dst_data_type>::type dst_data_t;
 
-    _jit_avx512_core_u8s8s32x_wino_convolution_fwd_t(const pd_t *pd,
+    jit_avx512_core_u8s8s32x_wino_convolution_fwd_t(const pd_t *apd,
             const input_vector &inputs, const output_vector &outputs);
-    ~_jit_avx512_core_u8s8s32x_wino_convolution_fwd_t();
+    ~jit_avx512_core_u8s8s32x_wino_convolution_fwd_t();
 
-    virtual void execute(event_t *e) {
+    virtual void execute(event_t *e) const {
         execute_forward();
         e->set_state(event_t::ready);
     }
 
 private:
-    void execute_forward();
-    void execute_forward_small_mb();
-    void execute_forward_mbN();
-    pd_t conf_;
+    const float *adjust_oscales(const memory_tracking::grantor_t &scratchpad)
+        const;
+    void execute_forward() const;
+    void execute_forward_small_mb() const;
+    void execute_forward_mbN() const;
+    const pd_t *pd() const { return (const pd_t *)primitive_t::pd(); }
 
     jit_avx512_core_u8s8s32x_wino_conv_fwd_ker_t *kernel_;
     jit_avx512_core_u8s8s32x_wino_conv_src_trans_t *src_trans_;
     jit_avx512_core_u8s8s32x_wino_conv_dst_trans_t *dst_trans_;
-
-    size_t size_wino_wei_;
-    size_t size_wino_src_;
-    size_t size_wino_dst_;
-    size_t wino_shift_;
-
-    scratchpad_t *scratchpad_;
-
-    mkldnn::impl::scales_t updated_output_scales_;
 };
 
-template <impl::data_type_t dst_type>
-using jit_avx512_core_u8s8s32x_wino_convolution_fwd_t =
-    _jit_avx512_core_u8s8s32x_wino_convolution_fwd_t<false, dst_type>;
-
-template <impl::data_type_t dst_type>
-using jit_avx512_core_u8s8s32x_wino_convolution_relu_t =
-    _jit_avx512_core_u8s8s32x_wino_convolution_fwd_t<true, dst_type>;
 }
 }
 }