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
|
/*
* Copyright (c) 2022 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "GpuKernelVariableTable.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/ITensorInfo.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
void GpuKernelVariableTable::declare_variable(const ITensorInfo *tensor, GpuKernelArgumentInfo argument_info, bool is_interm, const std::string &alias)
{
ARM_COMPUTE_ERROR_ON_MSG(!tensor->has_valid_id(), "Tensor info with valid id expected");
// Do not re-declare if the variable associated with the tensor has already been declared
if(get_variable(tensor).has_valid_id())
{
ARM_COMPUTE_ERROR_ON(!(get_variable(tensor).kernel_argument_info == argument_info));
return;
}
// Declare variable associated with the tensor
std::stringstream ss;
ss << alias << "_t" << tensor->id();
const auto uniq_name = ss.str();
TensorVariable var{ tensor->id(), uniq_name, argument_info };
if(is_interm)
{
_interm_var = var;
_interm_tensors.insert(tensor->id());
}
else
{
_vars.emplace(tensor->id(), var);
}
}
GpuKernelVariableTable::TensorVariable GpuKernelVariableTable::get_variable(const ITensorInfo *tensor) const
{
const TensorVariable empty_var{};
if(_vars.find(tensor->id()) != _vars.end())
{
return _vars.at(tensor->id());
}
if(_interm_tensors.find(tensor->id()) != _interm_tensors.end())
{
return _interm_var;
}
return empty_var;
}
GpuKernelVariableTable::VariableList GpuKernelVariableTable::get_variable_list(const std::vector<const ITensorInfo *> &tensors) const
{
VariableList vars{};
for(const auto &tensor : tensors)
{
if(!tensor->has_valid_id())
{
continue;
}
vars.push_back(get_variable(tensor));
}
return vars;
}
TagVal::TagVal(const GpuKernelVariableTable::TensorVariable &var)
: value{ var.uniq_name }
{
}
TagVal::TagVal(const std::string &val)
: value{ val }
{
}
TagVal::TagVal(const char *val)
: value{ std::string(val) }
{
}
TagVal::TagVal(const DataType &data_type)
: value{ get_cl_type_from_data_type(data_type) }
{
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
|
