1/*******************************************************************************
2* Copyright 2020-2022 Intel Corporation
3*
4* Licensed under the Apache License, Version 2.0 (the "License");
5* you may not use this file except in compliance with the License.
6* You may obtain a copy of the License at
7*
8* http://www.apache.org/licenses/LICENSE-2.0
9*
10* Unless required by applicable law or agreed to in writing, software
11* distributed under the License is distributed on an "AS IS" BASIS,
12* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13* See the License for the specific language governing permissions and
14* limitations under the License.
15*******************************************************************************/
16
17#ifndef GPU_XE_LP_X8S8S32X_1X1_CONVOLUTION_HPP
18#define GPU_XE_LP_X8S8S32X_1X1_CONVOLUTION_HPP
19
20#include "common/c_types_map.hpp"
21#include "gpu/compute/compute.hpp"
22#include "gpu/gpu_convolution_pd.hpp"
23#include "gpu/gpu_primitive.hpp"
24#include "gpu/gpu_resource.hpp"
25#include "gpu/ocl/ocl_stream.hpp"
26#include "gpu/ocl/ocl_utils.hpp"
27#include "gpu/primitive_conf.hpp"
28
29namespace dnnl {
30namespace impl {
31namespace gpu {
32namespace ocl {
33
34struct xe_lp_x8s8x_1x1_convolution_fwd_t : public gpu_primitive_t {
35 using gpu_primitive_t::gpu_primitive_t;
36 struct pd_t : public gpu_convolution_fwd_pd_t {
37 pd_t(const convolution_desc_t *adesc, const primitive_attr_t *attr,
38 const convolution_fwd_pd_t *hint_fwd_pd)
39 : gpu_convolution_fwd_pd_t(adesc, attr, hint_fwd_pd) {}
40
41 DECLARE_COMMON_PD_T("ocl:xe_lp:1x1", xe_lp_x8s8x_1x1_convolution_fwd_t);
42
43 status_t init(engine_t *engine) {
44 using namespace prop_kind;
45 using namespace data_type;
46 auto *compute_engine
47 = utils::downcast<compute::compute_engine_t *>(engine);
48
49 const auto attr_skip_mask
50 = primitive_attr_t::skip_mask_t::oscale_runtime
51 | primitive_attr_t::skip_mask_t::zero_points_runtime
52 | primitive_attr_t::skip_mask_t::post_ops
53 | primitive_attr_t::skip_mask_t::sum_dt;
54
55 bool ok = utils::one_of(this->desc()->prop_kind, forward_training,
56 forward_inference)
57 && this->desc()->alg_kind == alg_kind::convolution_direct
58 && utils::one_of(desc()->src_desc.data_type, u8, s8)
59 && utils::one_of(
60 desc()->dst_desc.data_type, u8, s8, s32, f32)
61 && expect_data_types(desc()->src_desc.data_type, s8, f32,
62 desc()->dst_desc.data_type, s32)
63 && compute_engine->mayiuse(
64 compute::device_ext_t::intel_subgroups)
65 && attr()->has_default_values(
66 attr_skip_mask, desc()->dst_desc.data_type)
67 && attr()->post_ops_.check_sum_consistent_dt(
68 dst_md()->data_type, true)
69 && post_ops_with_binary_ok(attr(), dst_md()->data_type)
70 && zero_points_ok(attr())
71 && IMPLICATION(!attr()->output_scales_.has_default_values(),
72 utils::one_of(
73 attr()->output_scales_.mask_, 0, 1 << 1));
74 if (!ok) return status::unimplemented;
75
76 if (dst_md()->offset0 != 0) return status::unimplemented;
77
78 CHECK(init_conf(engine));
79
80 if (!compute_engine->mayiuse_sub_group(conf.sub_group_size))
81 return status::unimplemented;
82
83 init_scratchpad();
84
85 ok = set_default_formats_common(
86 conf.src_tag, conf.wei_tag, conf.dst_tag);
87 if (!ok) return status::unimplemented;
88
89 CHECK(attr_.set_default_formats(dst_md(0)));
90
91 return status::success;
92 }
93
94 status_t init_conf(engine_t *engine);
95 status_t init_kernel_ctx(compute::kernel_ctx_t &kernel_ctx) const;
96 void init_scratchpad();
97
98 conv_conf_t conf;
99 };
100
101 status_t init(engine_t *engine) override {
102 const char *kernel_name = nullptr;
103 if (pd()->conf.is_nhwc)
104 kernel_name = "xe_lp_nhwc_1x1_conv_fwd_x8s8x";
105 else
106 kernel_name = "xe_lp_1x1_conv_fwd_x8s8x";
107
108 compute::kernel_ctx_t kernel_ctx;
109 auto status = pd()->init_kernel_ctx(kernel_ctx);
110 if (status != status::success) return status;
111
112 create_kernel(engine, &kernel_, kernel_name, kernel_ctx);
113 if (!kernel_) return status::runtime_error;
114
115 if (pd()->conf.attr_info.with_src_zpoints) {
116 create_kernel(engine, &src_compensation_kernel_,
117 "xe_lp_x8s8x_compensation", kernel_ctx);
118 if (!src_compensation_kernel_) return status::runtime_error;
119 }
120
121 return status::success;
122 }
123
124 status_t execute(const exec_ctx_t &ctx) const override {
125 return execute_forward(ctx);
126 }
127
128private:
129 status_t execute_forward(const exec_ctx_t &ctx) const;
130 const pd_t *pd() const { return (const pd_t *)gpu_primitive_t::pd().get(); }
131 compute::kernel_t kernel_;
132 compute::kernel_t src_compensation_kernel_;
133};
134
135} // namespace ocl
136} // namespace gpu
137} // namespace impl
138} // namespace dnnl
139
140#endif
141