1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
|
/*
// Copyright (c) 2016 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.
*/
#include "activation_kernel_base.h"
#include "kernel_selector_utils.h"
namespace kernel_selector
{
ActivationKernelBase::DispatchData ActivationKernelBase::SetDefault(const activation_params& arg) const
{
const auto& out = arg.output;
DispatchData runInfo;
std::vector<size_t> global = { out.X().v, out.Y().v, out.Feature().v*out.Batch().v };
if (out.GetLayout() == DataLayout::yxfb)
{
global[0] = out.Feature().v*out.Batch().v;
global[1] = out.X().v;
global[2] = out.Y().v;
}
std::vector<size_t> local = GetOptimalLocalWorkGroupSizes(global);
runInfo.gws0 = global[0];
runInfo.gws1 = global[1];
runInfo.gws2 = global[2];
runInfo.lws0 = local[0];
runInfo.lws1 = local[1];
runInfo.lws2 = local[2];
runInfo.effiency = DONT_USE_IF_HAVE_SOMETHING_ELSE;
runInfo.fp16UnitUsed = out.GetDType() == Datatype::F16;
return runInfo;
}
JitConstants ActivationKernelBase::GetJitConstants(const activation_params& params, DispatchData) const
{
JitConstants jit = MakeBaseParamsJitConstants(params);
const auto& inputNlParams = params.inputActivationParams;
jit.AddConstants({
MakeJitConstant("PARAMS_NUM", GetActivationAdditionalParamsNumber(params.activationFunc)),
});
if (!inputNlParams.empty())
{
jit.AddConstants({
MakeJitConstant("ADDITIONAL_PARAMS", inputNlParams[0]),
MakeJitConstant("PARAMETERIZED", ""),
});
}
return jit;
}
bool ActivationKernelBase::Validate(const Params& p, const optional_params& o) const
{
if (p.GetType() != KernelType::ACTIVATION ||
o.GetType() != KernelType::ACTIVATION)
{
return false;
}
return true;
}
KernelsData ActivationKernelBase::GetCommonKernelsData(const Params& params, const optional_params& options) const
{
if (!Validate(params, options))
{
return{};
}
KernelData kd = KernelData::Default<activation_params>(params);
activation_params& newParams = *static_cast<activation_params*>(kd.params.get());
const std::string kernel_id = GetEntryPoint(kernelName, params.layerID, options);
auto runInfo = SetDefault(newParams);
auto cldnn_jit = GetJitConstants(newParams, runInfo);
auto entry_point = GetEntryPoint(kernelName, newParams.layerID, options);
auto jit = CreateJit(kernelName, cldnn_jit, entry_point);
auto& kernel = kd.kernels[0];
FillCLKernelData(kernel, runInfo, kernelName, jit, entry_point);
if (newParams.gradient)
kernel.arguments.push_back({ ArgumentDescriptor::Types::INPUT, 1 });
if (!newParams.inputActivationParams.empty())
{
kernel.arguments.push_back({ ArgumentDescriptor::Types::SLOPE, 0 });
}
kd.estimatedTime = runInfo.effiency;
return{ kd };
}
}
|