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CaffeOnACL/src/caffe/layers/acl_softmax_layer.cpp at master · 2php/CaffeOnACL · GitHub
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CaffeOnACL
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CaffeOnACL
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src
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caffe
/
layers
/
acl_softmax_layer.cpp
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CaffeOnACL
/
src
/
caffe
/
layers
/
acl_softmax_layer.cpp
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117 lines (104 loc) · 3.69 KB
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#
ifdef
USE_ACL
#
include
<
vector
>
#
include
"
caffe/layers/acl_softmax_layer.hpp
"
#
include
<
unistd.h
>
namespace
caffe
{
template
<
typename
Dtype>
void
ACLSoftmaxLayer<Dtype>::LayerSetUp(
const
vector<Blob<Dtype>*>& bottom,
const
vector<Blob<Dtype>*>& top) {
SoftmaxLayer<Dtype>::
LayerSetUp
(bottom, top);
this
->
force_bypass_acl_path_
= bypass_acl_class_layer &
FLAGS_ENABLE_ACL_SOFTMAX
;
}
template
<
typename
Dtype>
void
ACLSoftmaxLayer<Dtype>::SetupACLLayer(
const
vector<Blob<Dtype>*>& bottom,
const
vector<Blob<Dtype>*>& top){
unsigned
int
channels = bottom[
0
]->
shape
(
this
->
softmax_axis_
);
TensorShape
shape
(channels*
this
->
inner_num_
);
checkreshape
(shape,
Caffe::arm_gpu_mode
());
if
(!
this
->
init_layer_
)
return
;
this
->
init_layer_
=
false
;
//
Initialize ACL.
if
(
Caffe::arm_gpu_mode
()) {
new_gpulayer
();
}
else
{
new_cpulayer
();
}
//
this->force_bypass_acl_path_=false;
if
(
Caffe::arm_gpu_mode
()) {
Dtype *top_data = top[
0
]->
mutable_gpu_data
();
const
Dtype* bottom_data = bottom[
0
]->
gpu_data
();
new_tensor
(
this
->
gpu
().
input
,shape,(
void
*)bottom_data);
new_tensor
(
this
->
gpu
().
output
,shape,(
void
*)top_data);
#
ifdef
USE_PROFILING
logtime_util
log_time
(
ACL_CONFIG_INFO
);
#
endif
//
USE_PROFILING
this
->
gpu
().
layer
->
configure
(
this
->
gpu
().
input
,
this
->
gpu
().
output
);
}
else
{
Dtype *top_data = top[
0
]->
mutable_cpu_data
();
const
Dtype* bottom_data = bottom[
0
]->
cpu_data
();
new_tensor
(
this
->
cpu
().
input
,shape,(
void
*)bottom_data);
new_tensor
(
this
->
cpu
().
output
,shape,(
void
*)top_data);
#
ifdef
USE_PROFILING
logtime_util
log_time
(
ACL_CONFIG_INFO
);
#
endif
//
USE_PROFILING
this
->
cpu
().
layer
->
configure
(
this
->
cpu
().
input
,
this
->
cpu
().
output
);
}
}
template
<
typename
Dtype>
void
ACLSoftmaxLayer<Dtype>::Reshape(
const
vector<Blob<Dtype>*>& bottom,
const
vector<Blob<Dtype>*>& top) {
SoftmaxLayer<Dtype>::
Reshape
(bottom, top);
}
template
<
typename
Dtype>
void
ACLSoftmaxLayer<Dtype>::Forward_cpu(
const
vector<Blob<Dtype>*>& bottom,
const
vector<Blob<Dtype>*>& top) {
if
(
Caffe::arm_gpu_mode
()){
Forward_gpu
(bottom, top);
return
;
}
#
ifdef
USE_PROFILING
logtime_util
log_time
(
ACL_SOFTMAX_INFO
);
#
endif
//
USE_PROFILING
if
(
this
->
force_bypass_acl_path_
||
this
->
inner_num_
>
1
) {
SoftmaxLayer<Dtype>::
Forward_cpu
(bottom,top);
return
;
}
const
Dtype* bottom_data = bottom[
0
]->
cpu_data
();
Dtype* top_data = top[
0
]->
mutable_cpu_data
();
SetupACLLayer
(bottom,top);
int
channels = bottom[
0
]->
shape
(
this
->
softmax_axis_
);
for
(
int
i =
0
; i <
this
->
outer_num_
; ++i) {
tensor_mem
(
this
->
cpu
().
input
,(
void
*)(bottom_data));
cpu_run
();
tensor_mem
((
void
*)(top_data),
this
->
cpu
().
output
);
top_data += channels;
bottom_data += channels;
}
}
template
<
typename
Dtype>
void
ACLSoftmaxLayer<Dtype>::Forward_gpu(
const
vector<Blob<Dtype>*>& bottom,
const
vector<Blob<Dtype>*>& top) {
#
ifdef
USE_PROFILING
logtime_util
log_time
(
ACL_SOFTMAX_INFO
);
#
endif
//
USE_PROFILING
if
(
this
->
force_bypass_acl_path_
||
this
->
inner_num_
>
1
) {
SoftmaxLayer<Dtype>::
Forward_cpu
(bottom,top);
return
;
}
const
Dtype* bottom_data = bottom[
0
]->
gpu_data
();
Dtype* top_data = top[
0
]->
mutable_gpu_data
();
SetupACLLayer
(bottom,top);
for
(
int
i =
0
; i <
this
->
outer_num_
; ++i) {
tensor_mem
(
this
->
gpu
().
input
,(
void
*)(bottom_data));
gpu_run
();
tensor_mem
((
void
*)(top_data),
this
->
gpu
().
output
);
top_data +=
this
->
inner_num_
;
bottom_data +=
this
->
inner_num_
;
}
}
template
<
typename
Dtype>
ACLSoftmaxLayer<Dtype>::
~ACLSoftmaxLayer
() {
}
INSTANTIATE_CLASS
(ACLSoftmaxLayer);
}
//
namespace caffe
#
endif
//
USE_ACL
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