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
114
115
116
117
118
119
120
121
122
123
124
125
126
|
/*
// Copyright (c) 2018 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 "mutable_data_inst.h"
#include "primitive_type_base.h"
#include "memory_impl.h"
#include <random>
#include "error_handler.h"
namespace cldnn
{
primitive_type_id mutable_data_type_id()
{
static primitive_type_base<mutable_data> instance;
return &instance;
}
namespace {
memory_impl::ptr attach_or_copy_data(network_impl& network, memory_impl& mem)
{
auto& engine = network.get_engine();
if (mem.is_allocated_by(engine))
return &mem;
memory_impl::ptr result = engine.allocate_memory(mem.get_layout());
mem_lock<char> src(mem);
mem_lock<char> dst(result);
std::copy(src.begin(), src.end(), dst.begin());
return result;
}
}
mutable_data_node::typed_program_node(const std::shared_ptr<mutable_data> dprim, program_impl& prog)
: parent(dprim, prog), mem(api_cast(dprim->mem.get()))
{
recalc_output_layout(false);
fill_memory();
}
void mutable_data_node::attach_memory(memory_impl& new_mem, bool invalidate_users_if_changed)
{
mem = &new_mem;
recalc_output_layout(invalidate_users_if_changed);
}
void mutable_data_node::fill_memory()
{
auto prim = get_primitive();
if (prim->fill_type == mutable_data::filler_type::no_fill)
return;
auto memory = mem.get();
auto layout = memory->get_layout();
if (layout.data_type != data_types::f32)
CLDNN_ERROR_MESSAGE(id(), "only f32 data types can be filled");
switch (prim->fill_type)
{
case mutable_data::filler_type::zero:
fill_memory_constant(0.f);
break;
case mutable_data::filler_type::xavier:
fill_memory_xavier();
break;
default:
break;
}
}
void mutable_data_node::fill_memory_xavier()
{
auto memory = mem.get();
auto layout = memory->get_layout();
auto n = layout.count() / layout.size.batch[0];
float scale = float(sqrt(3.0f / (float)n));
std::default_random_engine generator(0);
mem_lock<float> lock(mem);
auto out_ptr = lock.begin();
std::uniform_real_distribution<float> distribution(-scale, scale);
for (uint32_t i = 0; i < (uint32_t)layout.count(); i++)
out_ptr[i] = distribution(generator);
}
void mutable_data_node::fill_memory_constant(float value)
{
auto memory = mem.get();
auto layout = memory->get_layout();
mem_lock<float> lock(mem);
auto out_ptr = lock.begin();
for (uint32_t i = 0; i < (uint32_t)layout.count(); i++)
out_ptr[i] = value;
}
std::string mutable_data_inst::to_string(mutable_data_node const& node)
{
auto node_info = node.desc_to_json();
std::stringstream primitive_description;
node_info.dump(primitive_description);
return primitive_description.str();
}
mutable_data_inst::typed_primitive_inst(network_impl& network, mutable_data_node const& node)
: parent(network, node, *attach_or_copy_data(network, node.get_attached_memory()))
{
}
}
|