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12c4dace
编写于
12月 11, 2018
作者:
L
liuqi
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Update the document about usage of ARM Linux
上级
51b14100
变更
12
显示空白变更内容
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并排
Showing
12 changed file
with
112 addition
and
784 deletion
+112
-784
docs/user_guide/advanced_usage.rst
docs/user_guide/advanced_usage.rst
+34
-43
docs/user_guide/basic_usage.rst
docs/user_guide/basic_usage.rst
+4
-3
docs/user_guide/devices/demo_device_nanopi.yml
docs/user_guide/devices/demo_device_nanopi.yml
+0
-3
mace/core/runtime/cpu/cpu_runtime.cc
mace/core/runtime/cpu/cpu_runtime.cc
+1
-31
mace/python/tools/memory_optimizer.py
mace/python/tools/memory_optimizer.py
+0
-350
tools/bazel.rc
tools/bazel.rc
+3
-5
tools/bazel_adb_run.py
tools/bazel_adb_run.py
+8
-8
tools/build-standalone-lib.sh
tools/build-standalone-lib.sh
+4
-4
tools/common.py
tools/common.py
+6
-6
tools/converter.py
tools/converter.py
+17
-47
tools/device.py
tools/device.py
+27
-34
tools/sh_commands.py
tools/sh_commands.py
+8
-250
未找到文件。
docs/user_guide/advanced_usage.rst
浏览文件 @
12c4dace
...
...
@@ -114,40 +114,42 @@ Advanced usage
--------------
There are three common advanced use cases:
- run your model on the embedded device
- run your model on the embedded device
(ARM LINUX)
- converting model to C++ code.
- tuning GPU kernels for a specific SoC.
Run you model on the embedded device
------------------
Run you model on the embedded device
(ARM Linux)
------------------
-----------------------------
MACE use ssh to connect embedded device, in this case we recommend you to push ``$HOME/.ssh/id_rsa.pub``
to your device ``$HOME/.ssh/authorized_keys``
The way to run your model on the ARM Linux is nearly same as with android, except you need specify a device config file.
.. code:: bash
cat ~/.ssh/id_rsa.pub | ssh -q {user}@{ip} "cat >> ~/.ssh/authorized_keys"
python tools/converter.py run --config=/path/to/your/model_deployment_file.yml --device_yml=/path/to/devices.yml
Th
is part will show you how to write your own device yaml config file.
Th
ere are two steps to do before run:
**Device yaml config file**
1. configure login without password
The way to run your model on the embedded device is nearly the same as run on android, except you need give a device yaml config file
.
MACE use ssh to connect embedded device, you should copy your public key to embedded device with the blow command
.
MACE get this yaml config via ``--device_yml`` argument, default config value is ``devices.yml``
, when the yaml config file is not found. we treat as there is no available arm linux device, give a message
and continue on other device such as plugged android phone.
.. code:: bash
* **Example**
cat ~/.ssh/id_rsa.pub | ssh -q {user}@{ip} "cat >> ~/.ssh/authorized_keys"
2. write your own device yaml configuration file.
* **Example**
Here is an device yaml config demo.
.. literalinclude:: devices/demo_device_nanopi.yml
:language: yaml
* **Configuration**
* **Configuration**
The detailed explanation is listed in the blow table.
.. list-table::
.. list-table::
:header-rows: 1
* - Options
...
...
@@ -165,18 +167,7 @@ and continue on other device such as plugged android phone.
- Since we use ssh to connect device, ip address is required.
* - username
- login username, required.
* - password
- login password, optional when you can login into device without password
.. note::
Some command tools:
.. code:: bash
# specify device yaml config file via --device_yml argument or put the file under working directory
python tools/converter.py run --config=/path/to/mace-models/mobilenet-v2/mobilenet-v2.yml --device_yml=/path/to/devices.yml
Convert model(s) to C++ code
--------------------------------
...
...
docs/user_guide/basic_usage.rst
浏览文件 @
12c4dace
...
...
@@ -246,13 +246,14 @@ to run and validate your model.
# Test model run time
python tools/converter.py run --config=/path/to/your/model_deployment_file.yml --round=100
# If you want to run model on specified arm linux device, you should put device config file in the working directory or run with flag `--device_yml`
python tools/converter.py run --config=/path/to/mace-models/mobilenet-v2/mobilenet-v2.yml --device_yml=/path/to/devices.yml --example
# Validate the correctness by comparing the results against the
# original model and framework, measured with cosine distance for similarity.
python tools/converter.py run --config=/path/to/your/model_deployment_file.yml --validate
# If you want to run model on specified arm linux device, you should put device config file in the working directory or run with flag `--device_yml`
python tools/converter.py run --config=/path/to/your/model_deployment_file.yml --device_yml=/path/to/devices.yml
* **benchmark**
benchmark and profile the model.
...
...
docs/user_guide/devices/demo_device_nanopi.yml
浏览文件 @
12c4dace
...
...
@@ -12,12 +12,9 @@ devices:
address
:
10.0.0.0
# login username
username
:
user
# login password, is required when you can login into device without password
password
:
1234567
raspberry
:
target_abis
:
[
armv7l
]
target_socs
:
BCM2837
models
:
Raspberry Pi 3 Model B Plus Rev
1.3
address
:
10.0.0.1
username
:
user
password
:
123456
mace/core/runtime/cpu/cpu_runtime.cc
浏览文件 @
12c4dace
...
...
@@ -42,7 +42,7 @@ struct CPUFreq {
};
namespace
{
#if defined(__ANDROID__)
int
GetCPUCount
()
{
int
cpu_count
=
0
;
std
::
string
cpu_sys_conf
=
"/proc/cpuinfo"
;
...
...
@@ -69,10 +69,8 @@ int GetCPUCount() {
VLOG
(
2
)
<<
"CPU cores: "
<<
cpu_count
;
return
cpu_count
;
}
#endif
int
GetCPUMaxFreq
(
std
::
vector
<
float
>
*
max_freqs
)
{
#if defined(__ANDROID__)
int
cpu_count
=
GetCPUCount
();
for
(
int
cpu_id
=
0
;
cpu_id
<
cpu_count
;
++
cpu_id
)
{
std
::
string
cpuinfo_max_freq_sys_conf
=
MakeString
(
...
...
@@ -94,34 +92,6 @@ int GetCPUMaxFreq(std::vector<float> *max_freqs) {
}
f
.
close
();
}
#else
std
::
string
cpu_sys_conf
=
"/proc/cpuinfo"
;
std
::
ifstream
f
(
cpu_sys_conf
);
if
(
!
f
.
is_open
())
{
LOG
(
ERROR
)
<<
"failed to open "
<<
cpu_sys_conf
;
return
-
1
;
}
std
::
string
line
;
const
std
::
string
freq_key
=
"cpu MHz"
;
while
(
std
::
getline
(
f
,
line
))
{
if
(
line
.
size
()
>=
freq_key
.
size
()
&&
line
.
compare
(
0
,
freq_key
.
size
(),
freq_key
)
==
0
)
{
size_t
pos
=
line
.
find
(
":"
);
if
(
pos
!=
std
::
string
::
npos
)
{
std
::
string
freq_str
=
line
.
substr
(
pos
+
1
);
float
freq
=
atof
(
freq_str
.
c_str
());
max_freqs
->
push_back
(
freq
);
}
}
}
if
(
f
.
bad
())
{
LOG
(
ERROR
)
<<
"failed to read "
<<
cpu_sys_conf
;
}
if
(
!
f
.
eof
())
{
LOG
(
ERROR
)
<<
"failed to read end of "
<<
cpu_sys_conf
;
}
f
.
close
();
#endif
for
(
float
freq
:
*
max_freqs
)
{
VLOG
(
2
)
<<
"CPU freq: "
<<
freq
;
...
...
mace/python/tools/memory_optimizer.py
已删除
100644 → 0
浏览文件 @
51b14100
# Copyright 2018 Xiaomi, Inc. All rights reserved.
#
# 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.
import
sys
import
operator
import
six
from
six.moves
import
reduce
from
mace.proto
import
mace_pb2
from
mace.python.tools.converter_tool
import
base_converter
as
cvt
from
mace.python.tools.converter_tool.base_converter
import
DeviceType
from
mace.python.tools.converter_tool.base_converter
import
ConverterUtil
from
mace.python.tools.converter_tool.base_converter
import
MaceKeyword
from
mace.python.tools.convert_util
import
calculate_image_shape
from
mace.python.tools.convert_util
import
OpenCLBufferType
def
MemoryTypeToStr
(
mem_type
):
if
mem_type
==
mace_pb2
.
CPU_BUFFER
:
return
'CPU_BUFFER'
elif
mem_type
==
mace_pb2
.
GPU_BUFFER
:
return
'GPU_BUFFER'
elif
mem_type
==
mace_pb2
.
GPU_IMAGE
:
return
'GPU_IMAGE'
else
:
return
'UNKNOWN'
class
MemoryBlock
(
object
):
def
__init__
(
self
,
mem_type
,
block
):
self
.
_mem_type
=
mem_type
self
.
_block
=
block
@
property
def
mem_type
(
self
):
return
self
.
_mem_type
@
property
def
block
(
self
):
return
self
.
_block
class
MemoryOptimizer
(
object
):
def
__init__
(
self
,
net_def
):
self
.
net_def
=
net_def
self
.
idle_mem
=
set
()
self
.
op_mem
=
{}
# op_name->mem_id
self
.
mem_block
=
{}
# mem_id->[size] or mem_id->[x, y]
self
.
total_mem_count
=
0
self
.
input_ref_counter
=
{}
self
.
mem_ref_counter
=
{}
ocl_mem_type_arg
=
ConverterUtil
.
get_arg
(
net_def
,
MaceKeyword
.
mace_opencl_mem_type
)
self
.
cl_mem_type
=
ocl_mem_type_arg
.
i
if
ocl_mem_type_arg
is
not
None
\
else
None
consumers
=
{}
for
op
in
net_def
.
op
:
if
not
self
.
op_need_optimize_memory
(
op
):
continue
for
ipt
in
op
.
input
:
if
ipt
not
in
consumers
:
consumers
[
ipt
]
=
[]
consumers
[
ipt
].
append
(
op
)
# only ref op's output tensor
for
op
in
net_def
.
op
:
if
not
self
.
op_need_optimize_memory
(
op
):
continue
for
output
in
op
.
output
:
tensor_name
=
output
if
tensor_name
in
consumers
:
self
.
input_ref_counter
[
tensor_name
]
=
\
len
(
consumers
[
tensor_name
])
else
:
self
.
input_ref_counter
[
tensor_name
]
=
0
def
op_need_optimize_memory
(
self
,
op
):
return
True
def
get_op_mem_block
(
self
,
op_type
,
output_shape
,
output_type
):
data_type_size
=
4
if
output_type
==
mace_pb2
.
DT_UINT8
:
data_type_size
=
1
return
MemoryBlock
(
mace_pb2
.
CPU_BUFFER
,
[
reduce
(
operator
.
mul
,
output_shape
,
1
)
*
data_type_size
])
def
mem_size
(
self
,
memory_block
):
return
memory_block
.
block
[
0
]
def
sub_mem_block
(
self
,
mem_block1
,
mem_block2
):
return
self
.
mem_size
(
mem_block1
)
-
self
.
mem_size
(
mem_block2
)
def
resize_mem_block
(
self
,
old_mem_block
,
op_mem_block
):
return
MemoryBlock
(
old_mem_block
.
mem_type
,
[
max
(
old_mem_block
.
block
[
0
],
op_mem_block
.
block
[
0
])])
def
add_net_mem_blocks
(
self
):
for
mem
in
self
.
mem_block
:
arena
=
self
.
net_def
.
mem_arena
block
=
arena
.
mem_block
.
add
()
block
.
mem_id
=
mem
block
.
device_type
=
DeviceType
.
CPU
.
value
block
.
mem_type
=
self
.
mem_block
[
mem
].
mem_type
block
.
x
=
self
.
mem_block
[
mem
].
block
[
0
]
block
.
y
=
1
def
get_total_origin_mem_size
(
self
):
origin_mem_size
=
0
for
op
in
self
.
net_def
.
op
:
if
not
self
.
op_need_optimize_memory
(
op
):
continue
origin_mem_size
+=
reduce
(
operator
.
mul
,
op
.
output_shape
[
0
].
dims
,
1
)
return
origin_mem_size
def
get_total_optimized_mem_size
(
self
):
optimized_mem_size
=
0
for
mem
in
self
.
mem_block
:
print
(
mem
,
MemoryTypeToStr
(
self
.
mem_block
[
mem
].
mem_type
),
self
.
mem_block
[
mem
].
block
)
optimized_mem_size
+=
self
.
mem_size
(
self
.
mem_block
[
mem
])
return
optimized_mem_size
@
staticmethod
def
is_memory_reuse_op
(
op
):
return
op
.
type
==
'Reshape'
or
op
.
type
==
'Identity'
\
or
op
.
type
==
'Squeeze'
or
op
.
type
==
'ExpandDims'
def
optimize
(
self
):
for
op
in
self
.
net_def
.
op
:
if
not
self
.
op_need_optimize_memory
(
op
):
continue
if
not
op
.
output_shape
:
six
.
print_
(
"WARNING: There is no output shape information to "
"do memory optimization. %s (%s)"
%
(
op
.
name
,
op
.
type
),
file
=
sys
.
stderr
)
return
if
len
(
op
.
output_shape
)
!=
len
(
op
.
output
):
six
.
print_
(
'WARNING: the number of output shape is '
'not equal to the number of output.'
,
file
=
sys
.
stderr
)
return
for
i
in
range
(
len
(
op
.
output
)):
if
self
.
is_memory_reuse_op
(
op
):
# make these ops reuse memory of input tensor
mem_id
=
self
.
op_mem
.
get
(
op
.
input
[
0
],
-
1
)
else
:
output_type
=
mace_pb2
.
DT_FLOAT
for
arg
in
op
.
arg
:
if
arg
.
name
==
'T'
:
output_type
=
arg
.
i
if
len
(
op
.
output_type
)
>
i
:
output_type
=
op
.
output_type
[
i
]
op_mem_block
=
self
.
get_op_mem_block
(
op
.
type
,
op
.
output_shape
[
i
].
dims
,
output_type
)
mem_id
=
-
1
if
len
(
self
.
idle_mem
)
>
0
:
best_mem_add_size
=
six
.
MAXSIZE
best_mem_waste_size
=
six
.
MAXSIZE
for
mid
in
self
.
idle_mem
:
old_mem_block
=
self
.
mem_block
[
mid
]
if
old_mem_block
.
mem_type
!=
op_mem_block
.
mem_type
:
continue
new_mem_block
=
self
.
resize_mem_block
(
old_mem_block
,
op_mem_block
)
add_mem_size
=
self
.
sub_mem_block
(
new_mem_block
,
old_mem_block
)
waste_mem_size
=
self
.
sub_mem_block
(
new_mem_block
,
op_mem_block
)
# minimize add_mem_size; if best_mem_add_size is 0,
# then minimize waste_mem_size
if
(
best_mem_add_size
>
0
and
add_mem_size
<
best_mem_add_size
)
\
or
(
best_mem_add_size
==
0
and
waste_mem_size
<
best_mem_waste_size
):
best_mem_id
=
mid
best_mem_add_size
=
add_mem_size
best_mem_waste_size
=
waste_mem_size
best_mem_block
=
new_mem_block
# if add mem size < op mem size, then reuse it
if
best_mem_add_size
<=
self
.
mem_size
(
op_mem_block
):
self
.
mem_block
[
best_mem_id
]
=
best_mem_block
mem_id
=
best_mem_id
self
.
idle_mem
.
remove
(
mem_id
)
if
mem_id
==
-
1
:
mem_id
=
self
.
total_mem_count
self
.
total_mem_count
+=
1
self
.
mem_block
[
mem_id
]
=
op_mem_block
if
mem_id
!=
-
1
:
op
.
mem_id
.
extend
([
mem_id
])
self
.
op_mem
[
op
.
output
[
i
]]
=
mem_id
if
mem_id
not
in
self
.
mem_ref_counter
:
self
.
mem_ref_counter
[
mem_id
]
=
1
else
:
self
.
mem_ref_counter
[
mem_id
]
+=
1
# de-ref input tensor mem
for
idx
in
six
.
moves
.
range
(
len
(
op
.
input
)):
ipt
=
op
.
input
[
idx
]
if
ipt
in
self
.
input_ref_counter
:
self
.
input_ref_counter
[
ipt
]
-=
1
if
self
.
input_ref_counter
[
ipt
]
==
0
\
and
ipt
in
self
.
op_mem
:
mem_id
=
self
.
op_mem
[
ipt
]
self
.
mem_ref_counter
[
mem_id
]
-=
1
if
self
.
mem_ref_counter
[
mem_id
]
==
0
:
self
.
idle_mem
.
add
(
self
.
op_mem
[
ipt
])
elif
self
.
input_ref_counter
[
ipt
]
<
0
:
raise
Exception
(
'ref count is less than 0'
)
self
.
add_net_mem_blocks
()
print
(
"total op: %d"
%
len
(
self
.
net_def
.
op
))
print
(
"origin mem: %d, optimized mem: %d"
%
(
self
.
get_total_origin_mem_size
(),
self
.
get_total_optimized_mem_size
()))
class
GPUMemoryOptimizer
(
MemoryOptimizer
):
def
op_need_optimize_memory
(
self
,
op
):
if
op
.
type
==
MaceKeyword
.
mace_buffer_transform
:
for
arg
in
op
.
arg
:
if
arg
.
name
==
'mode'
and
arg
.
i
==
0
:
return
False
return
op
.
type
!=
MaceKeyword
.
mace_buffer_inverse_transform
def
get_op_image_mem_block
(
self
,
op_type
,
output_shape
):
if
op_type
==
'WinogradTransform'
or
op_type
==
'MatMul'
:
buffer_shape
=
list
(
output_shape
)
+
[
1
]
mem_block
=
MemoryBlock
(
mace_pb2
.
GPU_IMAGE
,
calculate_image_shape
(
OpenCLBufferType
.
IN_OUT_HEIGHT
,
buffer_shape
))
elif
op_type
in
[
'Shape'
,
'InferConv2dShape'
,
'StridedSlice'
,
'Stack'
,
'ScalarMath'
]:
if
len
(
output_shape
)
==
1
:
mem_block
=
MemoryBlock
(
mace_pb2
.
CPU_BUFFER
,
[
output_shape
[
0
],
1
])
elif
len
(
output_shape
)
==
0
:
mem_block
=
MemoryBlock
(
mace_pb2
.
CPU_BUFFER
,
[
1
,
1
])
else
:
raise
Exception
(
'%s output shape dim size is not 0 or 1.'
%
op_type
)
else
:
if
len
(
output_shape
)
==
2
:
# only support fc/softmax
buffer_shape
=
[
output_shape
[
0
],
output_shape
[
1
]]
elif
len
(
output_shape
)
==
4
:
buffer_shape
=
output_shape
else
:
raise
Exception
(
'%s output shape dim size is not 2 or 4.'
%
op_type
)
mem_block
=
MemoryBlock
(
mace_pb2
.
GPU_IMAGE
,
calculate_image_shape
(
OpenCLBufferType
.
IN_OUT_CHANNEL
,
buffer_shape
))
return
mem_block
def
get_op_buffer_mem_block
(
self
,
output_shape
):
return
MemoryBlock
(
mace_pb2
.
GPU_BUFFER
,
[
reduce
(
operator
.
mul
,
output_shape
,
1
),
1
])
def
get_op_mem_block
(
self
,
op_type
,
output_shape
,
output_type
):
if
self
.
cl_mem_type
==
mace_pb2
.
GPU_IMAGE
:
return
self
.
get_op_image_mem_block
(
op_type
,
output_shape
)
else
:
return
self
.
get_op_buffer_mem_block
(
output_shape
)
def
mem_size
(
self
,
memory_block
):
if
memory_block
.
mem_type
==
mace_pb2
.
GPU_IMAGE
:
return
memory_block
.
block
[
0
]
*
memory_block
.
block
[
1
]
*
4
else
:
return
memory_block
.
block
[
0
]
def
resize_mem_block
(
self
,
old_mem_block
,
op_mem_block
):
resize_mem_block
=
MemoryBlock
(
old_mem_block
.
mem_type
,
[
max
(
old_mem_block
.
block
[
0
],
op_mem_block
.
block
[
0
]),
max
(
old_mem_block
.
block
[
1
],
op_mem_block
.
block
[
1
])
])
return
resize_mem_block
def
add_net_mem_blocks
(
self
):
max_image_size_x
=
0
max_image_size_y
=
0
for
mem
in
self
.
mem_block
:
arena
=
self
.
net_def
.
mem_arena
block
=
arena
.
mem_block
.
add
()
block
.
mem_id
=
mem
block
.
device_type
=
DeviceType
.
GPU
.
value
block
.
mem_type
=
self
.
mem_block
[
mem
].
mem_type
block
.
x
=
self
.
mem_block
[
mem
].
block
[
0
]
block
.
y
=
self
.
mem_block
[
mem
].
block
[
1
]
if
self
.
mem_block
[
mem
].
mem_type
==
mace_pb2
.
GPU_IMAGE
:
max_image_size_x
=
max
(
max_image_size_x
,
block
.
x
)
max_image_size_y
=
max
(
max_image_size_y
,
block
.
y
)
if
self
.
cl_mem_type
==
mace_pb2
.
GPU_IMAGE
:
# Update OpenCL max image size
net_ocl_max_img_size_arg
=
None
for
arg
in
self
.
net_def
.
arg
:
if
arg
.
name
==
cvt
.
MaceKeyword
.
mace_opencl_max_image_size
:
net_ocl_max_img_size_arg
=
arg
max_image_size_x
=
max
(
arg
.
ints
[
0
],
max_image_size_x
)
max_image_size_y
=
max
(
arg
.
ints
[
1
],
max_image_size_y
)
break
if
net_ocl_max_img_size_arg
is
None
:
net_ocl_max_img_size_arg
=
self
.
net_def
.
arg
.
add
()
net_ocl_max_img_size_arg
.
name
=
\
cvt
.
MaceKeyword
.
mace_opencl_max_image_size
net_ocl_max_img_size_arg
.
ints
[:]
=
[
max_image_size_x
,
max_image_size_y
]
def
optimize_gpu_memory
(
net_def
):
mem_optimizer
=
GPUMemoryOptimizer
(
net_def
)
mem_optimizer
.
optimize
()
def
optimize_cpu_memory
(
net_def
):
mem_optimizer
=
MemoryOptimizer
(
net_def
)
mem_optimizer
.
optimize
()
tools/bazel.rc
浏览文件 @
12c4dace
# Partially borrowed from tensorflow tools/bazel.rc
# By default, we don't distinct target and host platfroms.
# When doing cross compilation, use --config=cross_compile to distinct them.
build --distinct_host_configuration=false
build:cross_compile --distinct_host_configuration=true
build --verbose_failures
build --copt=-std=c++11
...
...
@@ -17,12 +15,12 @@ build --copt=-DMACE_USE_NNLIB_CAF
build:symbol_hidden --copt=-fvisibility=hidden
# Usage example: bazel build --config android
build:android --
config=cross_compil
e
build:android --
distinct_host_configuration=tru
e
build:android --crosstool_top=//external:android/crosstool
build:android --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
# Usage example: bazel build --config arm_linux_gnueabihf
build:arm_linux_gnueabihf --
config=cross_compil
e
build:arm_linux_gnueabihf --
distinct_host_configuration=tru
e
build:arm_linux_gnueabihf --crosstool_top=//tools/arm_compiler:toolchain
build:arm_linux_gnueabihf --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
build:arm_linux_gnueabihf --cpu=armeabi-v7a
...
...
@@ -34,7 +32,7 @@ build:arm_linux_gnueabihf --copt -Wno-sequence-point
build:arm_linux_gnueabihf --copt -Wno-implicit-fallthrough
# Usage example: bazel build --config aarch64_linux_gnu
build:aarch64_linux_gnu --
config=cross_compil
e
build:aarch64_linux_gnu --
distinct_host_configuration=tru
e
build:aarch64_linux_gnu --crosstool_top=//tools/aarch64_compiler:toolchain
build:aarch64_linux_gnu --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
build:aarch64_linux_gnu --cpu=aarch64
...
...
tools/bazel_adb_run.py
浏览文件 @
12c4dace
...
...
@@ -52,13 +52,13 @@ def ops_benchmark_stdout_processor(stdout, dev, abi):
metrics
[
"%s.input_mb_per_sec"
%
parts
[
0
]]
=
parts
[
3
]
metrics
[
"%s.gmacc_per_sec"
%
parts
[
0
]]
=
parts
[
4
]
platform
=
dev
[
YAMLKeyword
.
target_socs
]
model
=
dev
[
YAMLKeyword
.
models
]
tags
=
{
"ro.board.platform"
:
platform
,
"ro.product.model"
:
model
,
"abi"
:
abi
}
#
platform = dev[YAMLKeyword.target_socs]
# model = dev[YAMLKeyword.device_name
]
#
tags = {
#
"ro.board.platform": platform,
#
"ro.product.model": model,
#
"abi": abi
#
}
# sh_commands.falcon_push_metrics(server,
# metrics, tags=tags, endpoint="mace_ops_benchmark")
...
...
@@ -99,7 +99,7 @@ def parse_args():
parser
.
add_argument
(
"--stdout_processor"
,
type
=
str
,
default
=
"stdout_processor"
,
default
=
"
unittest_
stdout_processor"
,
help
=
"Stdout processing function, default: stdout_processor"
)
parser
.
add_argument
(
"--enable_neon"
,
...
...
tools/build-standalone-lib.sh
浏览文件 @
12c4dace
...
...
@@ -45,11 +45,11 @@ bazel build --config android --config optimization mace/libmace:libmace_dynamic
cp
bazel-bin/mace/libmace/libmace.so
$LIB_DIR
/arm64-v8a/cpu_gpu/
echo
"build shared lib for arm_linux_gnueabihf + cpu_gpu"
bazel build
--config
arm_linux_gnueabihf
--config
optimization mace/libmace:libmace_dynamic
--define
neon
=
true
--define
openmp
=
true
--define
opencl
=
true
bazel build
--config
arm_linux_gnueabihf
--config
optimization mace/libmace:libmace_dynamic
--define
neon
=
true
--define
openmp
=
true
--define
opencl
=
true
--define
quantize
=
true
cp
bazel-bin/mace/libmace/libmace.so
$LIB_DIR
/arm_linux_gnueabihf/cpu_gpu/
echo
"build shared lib for aarch64_linux_gnu + cpu_gpu"
bazel build
--config
aarch64_linux_gnu
--config
optimization mace/libmace:libmace_dynamic
--define
neon
=
true
--define
openmp
=
true
--define
opencl
=
true
bazel build
--config
aarch64_linux_gnu
--config
optimization mace/libmace:libmace_dynamic
--define
neon
=
true
--define
openmp
=
true
--define
opencl
=
true
--define
quantize
=
true
cp
bazel-bin/mace/libmace/libmace.so
$LIB_DIR
/aarch64_linux_gnu/cpu_gpu/
if
[[
"
$OSTYPE
"
!=
"darwin"
*
]]
;
then
...
...
@@ -73,11 +73,11 @@ bazel build --config android --config optimization mace/libmace:libmace_static -
cp
bazel-genfiles/mace/libmace/libmace.a
$LIB_DIR
/arm64-v8a/cpu_gpu/
echo
"build static lib for arm_linux_gnueabihf + cpu_gpu"
bazel build
--config
arm_linux_gnueabihf
--config
optimization mace/libmace:libmace_static
--config
symbol_hidden
--define
neon
=
true
--define
openmp
=
true
--define
opencl
=
true
bazel build
--config
arm_linux_gnueabihf
--config
optimization mace/libmace:libmace_static
--config
symbol_hidden
--define
neon
=
true
--define
openmp
=
true
--define
opencl
=
true
--define
quantize
=
true
cp
bazel-genfiles/mace/libmace/libmace.a
$LIB_DIR
/arm_linux_gnueabihf/cpu_gpu/
echo
"build static lib for aarch64_linux_gnu + cpu_gpu"
bazel build
--config
aarch64_linux_gnu
--config
optimization mace/libmace:libmace_static
--config
symbol_hidden
--define
neon
=
true
--define
openmp
=
true
--define
opencl
=
true
bazel build
--config
aarch64_linux_gnu
--config
optimization mace/libmace:libmace_static
--config
symbol_hidden
--define
neon
=
true
--define
openmp
=
true
--define
opencl
=
true
--define
quantize
=
true
cp
bazel-genfiles/mace/libmace/libmace.a
$LIB_DIR
/aarch64_linux_gnu/cpu_gpu/
if
[[
"
$OSTYPE
"
!=
"darwin"
*
]]
;
then
...
...
tools/common.py
浏览文件 @
12c4dace
...
...
@@ -240,7 +240,7 @@ def get_model_files(model_file_path,
def
get_opencl_binary_output_path
(
library_name
,
target_abi
,
device
):
target_soc
=
device
.
target_socs
device_
model
=
device
.
models
device_
name
=
device
.
device_name
return
'%s/%s/%s/%s/%s_%s.%s.%s.bin'
%
\
(
BUILD_OUTPUT_DIR
,
library_name
,
...
...
@@ -248,13 +248,13 @@ def get_opencl_binary_output_path(library_name, target_abi, device):
target_abi
,
library_name
,
OUTPUT_OPENCL_BINARY_FILE_NAME
,
device_
model
,
device_
name
,
target_soc
)
def
get_opencl_parameter_output_path
(
library_name
,
target_abi
,
device
):
target_soc
=
device
.
target_socs
device_
model
=
device
.
models
device_
name
=
device
.
device_name
return
'%s/%s/%s/%s/%s_%s.%s.%s.bin'
%
\
(
BUILD_OUTPUT_DIR
,
library_name
,
...
...
@@ -262,7 +262,7 @@ def get_opencl_parameter_output_path(library_name, target_abi, device):
target_abi
,
library_name
,
OUTPUT_OPENCL_PARAMETER_FILE_NAME
,
device_
model
,
device_
name
,
target_soc
)
...
...
@@ -271,7 +271,7 @@ def get_build_model_dirs(library_name,
target_abi
,
device
,
model_file_path
):
models
=
device
.
models
device_name
=
device
.
device_name
target_socs
=
device
.
target_socs
model_path_digest
=
md5sum
(
model_file_path
)
model_output_base_dir
=
'{}/{}/{}/{}/{}'
.
format
(
...
...
@@ -287,7 +287,7 @@ def get_build_model_dirs(library_name,
else
:
model_output_dir
=
'{}/{}_{}/{}'
.
format
(
model_output_base_dir
,
models
,
device_name
,
target_socs
,
target_abi
)
...
...
tools/converter.py
浏览文件 @
12c4dace
...
...
@@ -111,6 +111,13 @@ class DefaultValues(object):
gpu_priority_hint
=
3
,
class
ValidationThreshold
(
object
):
cpu_threshold
=
0.999
,
gpu_threshold
=
0.995
,
hexagon_threshold
=
0.930
,
cpu_quantize_threshold
=
0.980
,
CPP_KEYWORDS
=
[
'alignas'
,
'alignof'
,
'and'
,
'and_eq'
,
'asm'
,
'atomic_cancel'
,
'atomic_commit'
,
'atomic_noexcept'
,
'auto'
,
'bitand'
,
'bitor'
,
...
...
@@ -435,10 +442,11 @@ def format_model_config(flags):
'similarity threshold must be a dict.'
)
threshold_dict
=
{
DeviceType
.
CPU
:
0.999
,
DeviceType
.
GPU
:
0.995
,
DeviceType
.
HEXAGON
:
0.930
,
DeviceType
.
CPU
+
"_QUANTIZE"
:
0.980
,
DeviceType
.
CPU
:
ValidationThreshold
.
cpu_threshold
,
DeviceType
.
GPU
:
ValidationThreshold
.
gpu_threshold
,
DeviceType
.
HEXAGON
:
ValidationThreshold
.
hexagon_threshold
,
DeviceType
.
CPU
+
"_QUANTIZE"
:
ValidationThreshold
.
cpu_quantize_threshold
,
}
for
k
,
v
in
six
.
iteritems
(
validation_threshold
):
if
k
.
upper
()
==
'DSP'
:
...
...
@@ -838,39 +846,6 @@ def build_mace_run(configs, target_abi, toolchain, enable_openmp,
mace_lib_type
==
MACELibType
.
dynamic
)
def
build_quantize_stat
(
configs
):
library_name
=
configs
[
YAMLKeyword
.
library_name
]
build_tmp_binary_dir
=
get_build_binary_dir
(
library_name
,
ABIType
.
host
)
if
os
.
path
.
exists
(
build_tmp_binary_dir
):
sh
.
rm
(
"-rf"
,
build_tmp_binary_dir
)
os
.
makedirs
(
build_tmp_binary_dir
)
quantize_stat_target
=
QUANTIZE_STAT_TARGET
build_arg
=
""
six
.
print_
(
configs
[
YAMLKeyword
.
model_graph_format
])
if
configs
[
YAMLKeyword
.
model_graph_format
]
==
ModelFormat
.
code
:
mace_check
(
os
.
path
.
exists
(
ENGINE_CODEGEN_DIR
),
ModuleName
.
RUN
,
"You should convert model first."
)
build_arg
=
"--per_file_copt=mace/tools/quantization/quantize_stat.cc@-DMODEL_GRAPH_FORMAT_CODE"
# noqa
sh_commands
.
bazel_build
(
quantize_stat_target
,
abi
=
ABIType
.
host
,
toolchain
=
flags
.
toolchain
,
enable_openmp
=
True
,
symbol_hidden
=
True
,
extra_args
=
build_arg
)
quantize_stat_filepath
=
build_tmp_binary_dir
+
"/quantize_stat"
if
os
.
path
.
exists
(
quantize_stat_filepath
):
sh
.
rm
(
"-rf"
,
quantize_stat_filepath
)
sh
.
cp
(
"-f"
,
"bazel-bin/mace/tools/quantization/quantize_stat"
,
build_tmp_binary_dir
)
def
build_example
(
configs
,
target_abi
,
toolchain
,
enable_openmp
,
mace_lib_type
):
library_name
=
configs
[
YAMLKeyword
.
library_name
]
...
...
@@ -951,10 +926,8 @@ def run_mace(flags):
clear_build_dirs
(
configs
[
YAMLKeyword
.
library_name
])
target_socs
=
configs
[
YAMLKeyword
.
target_socs
]
if
not
target_socs
or
ALL_SOC_TAG
in
target_socs
:
device_list
=
DeviceManager
.
list_devices
(
flags
.
device_yml
)
else
:
device_list
=
DeviceManager
.
list_devices
(
flags
.
device_yml
)
if
target_socs
and
ALL_SOC_TAG
not
in
target_socs
:
device_list
=
[
dev
for
dev
in
device_list
if
dev
[
YAMLKeyword
.
target_socs
].
lower
()
in
target_socs
]
for
target_abi
in
configs
[
YAMLKeyword
.
target_abis
]:
...
...
@@ -1042,13 +1015,10 @@ def benchmark_model(flags):
clear_build_dirs
(
configs
[
YAMLKeyword
.
library_name
])
target_socs
=
configs
[
YAMLKeyword
.
target_socs
]
if
not
target_socs
or
ALL_SOC_TAG
in
target_socs
:
device_list
=
DeviceManager
.
list_devices
(
flags
.
device_yml
)
# target_socs = sh_commands.adb_get_all_socs()
else
:
device_list
=
DeviceManager
.
list_devices
(
flags
.
device_yml
)
if
target_socs
and
ALL_SOC_TAG
not
in
target_socs
:
device_list
=
[
dev
for
dev
in
device_list
if
dev
[
YAMLKeyword
.
target_socs
]
in
target_socs
]
if
dev
[
YAMLKeyword
.
target_socs
]
.
lower
()
in
target_socs
]
for
target_abi
in
configs
[
YAMLKeyword
.
target_abis
]:
# build benchmark_model binary
...
...
tools/device.py
浏览文件 @
12c4dace
...
...
@@ -37,8 +37,8 @@ class DeviceWrapper:
:type device_dict: Device
:param device_dict: a key-value dict that holds the device information,
which attribute has:
target_abis, target_socs, models, system, address
password
, username
device_name, target_abis, target_socs, system,
address
, username
"""
diff
=
set
(
device_dict
.
keys
())
-
set
(
YAMLKeyword
.
__dict__
.
keys
())
if
len
(
diff
)
>
0
:
...
...
@@ -111,6 +111,7 @@ class DeviceWrapper:
def
push
(
self
,
src_path
,
dst_path
):
mace_check
(
os
.
path
.
exists
(
src_path
),
"Device"
,
'{} not found'
.
format
(
src_path
))
six
.
print_
(
"Push %s to %s"
%
(
src_path
,
dst_path
))
if
self
.
system
==
SystemType
.
android
:
sh_commands
.
adb_push
(
src_path
,
dst_path
,
self
.
address
)
elif
self
.
system
==
SystemType
.
arm_linux
:
...
...
@@ -129,6 +130,7 @@ class DeviceWrapper:
dst_file
=
"%s/%s"
%
(
dst_path
,
file_name
)
if
os
.
path
.
exists
(
dst_file
):
sh
.
rm
(
'-f'
,
dst_file
)
six
.
print_
(
"Pull %s to %s"
%
(
src_path
,
dst_path
))
if
self
.
system
==
SystemType
.
android
:
sh_commands
.
adb_pull
(
src_file
,
dst_file
,
self
.
address
)
...
...
@@ -138,7 +140,6 @@ class DeviceWrapper:
self
.
address
,
src_file
),
dst_file
)
print
(
"pull file "
,
src_path
,
dst_path
)
except
sh
.
ErrorReturnCode_1
as
e
:
six
.
print_
(
"Pull Failed !"
,
file
=
sys
.
stderr
)
raise
e
...
...
@@ -256,10 +257,13 @@ class DeviceWrapper:
if
model_graph_format
==
ModelFormat
.
file
:
mace_model_phone_path
=
"%s/%s.pb"
%
(
self
.
data_dir
,
model_tag
)
self
.
push
(
mace_model_path
,
mace_model_phone_path
)
self
.
push
(
mace_model_path
,
mace_model_phone_path
)
if
link_dynamic
:
self
.
push
(
libmace_dynamic_library_path
,
self
.
data_dir
)
if
self
.
system
==
SystemType
.
android
:
sh_commands
.
push_depended_so_libs
(
libmace_dynamic_library_path
,
abi
,
self
.
data_dir
,
self
.
address
)
self
.
push
(
"%s/%s"
%
(
target_dir
,
target_name
),
self
.
data_dir
)
stdout_buff
=
[]
...
...
@@ -430,14 +434,11 @@ class DeviceWrapper:
configs
[
YAMLKeyword
.
model_graph_format
],
configs
[
YAMLKeyword
.
model_data_format
],
target_abi
)
if
target_abi
==
ABIType
.
host
:
device_model
=
ABIType
.
host
else
:
device_model
=
self
.
models
if
target_abi
!=
ABIType
.
host
:
self
.
clear_data_dir
()
MaceLogger
.
header
(
StringFormatter
.
block
(
'Run model {} on {}'
.
format
(
model_name
,
device_model
)))
'Run model {} on {}'
.
format
(
model_name
,
self
.
device_name
)))
model_config
=
configs
[
YAMLKeyword
.
models
][
model_name
]
model_runtime
=
model_config
[
YAMLKeyword
.
runtime
]
...
...
@@ -631,7 +632,7 @@ class DeviceWrapper:
data_str
=
'{model_name},{device_name},{soc},{abi},{device_type},'
\
'{init},{warmup},{run_avg},{tuned}
\n
'
.
format
(
model_name
=
model_name
,
device_name
=
self
.
models
,
device_name
=
self
.
device_name
,
soc
=
self
.
target_socs
,
abi
=
target_abi
,
device_type
=
device_type
,
...
...
@@ -671,7 +672,7 @@ class DeviceWrapper:
mace_model_path
=
''
if
model_graph_format
==
ModelFormat
.
file
:
mace_model_path
=
'%s/%s.pb'
%
(
mace_model_dir
,
model_tag
)
if
abi
==
'host'
:
if
abi
==
ABIType
.
host
:
libmace_dynamic_lib_dir_path
=
\
os
.
path
.
dirname
(
libmace_dynamic_library_path
)
p
=
subprocess
.
Popen
(
...
...
@@ -719,6 +720,10 @@ class DeviceWrapper:
self
.
push
(
mace_model_path
,
mace_model_device_path
)
if
link_dynamic
:
self
.
push
(
libmace_dynamic_library_path
,
self
.
data_dir
)
if
self
.
system
==
SystemType
.
android
:
sh_commands
.
push_depended_so_libs
(
libmace_dynamic_library_path
,
abi
,
self
.
data_dir
,
self
.
address
)
self
.
rm
(
'%s/%s'
%
(
self
.
data_dir
,
benchmark_binary_name
))
self
.
push
(
'%s/%s'
%
(
benchmark_binary_dir
,
benchmark_binary_name
),
self
.
data_dir
)
...
...
@@ -761,19 +766,11 @@ class DeviceWrapper:
os
.
remove
(
tmp_cmd_file
)
if
self
.
system
==
SystemType
.
android
:
sh
.
adb
(
'-s'
,
self
.
address
,
'shell'
,
'sh'
,
cmd_file_path
,
_fg
=
True
)
sh
.
adb
(
'-s'
,
self
.
address
,
'shell'
,
'sh'
,
cmd_file_path
,
_fg
=
True
)
elif
self
.
system
==
SystemType
.
arm_linux
:
sh
.
ssh
(
'%s@%s'
%
(
self
.
username
,
self
.
address
),
'sh'
,
cmd_file_path
,
_fg
=
True
)
'sh'
,
cmd_file_path
,
_fg
=
True
)
self
.
rm
(
cmd_file_path
)
six
.
print_
(
'Benchmark done!
\n
'
)
...
...
@@ -804,13 +801,10 @@ class DeviceWrapper:
configs
[
YAMLKeyword
.
model_graph_format
],
configs
[
YAMLKeyword
.
model_data_format
],
target_abi
)
if
target_abi
==
ABIType
.
host
:
device_name
=
ABIType
.
host
else
:
device_name
=
self
.
models
MaceLogger
.
header
(
StringFormatter
.
block
(
'Benchmark model %s on %s'
%
(
model_name
,
device_name
)))
'Benchmark model %s on %s'
%
(
model_name
,
self
.
device_name
)))
model_config
=
configs
[
YAMLKeyword
.
models
][
model_name
]
model_runtime
=
model_config
[
YAMLKeyword
.
runtime
]
subgraphs
=
model_config
[
YAMLKeyword
.
subgraphs
]
...
...
@@ -885,7 +879,7 @@ class DeviceWrapper:
print
(
'Trying to lock device %s'
%
self
.
address
)
with
self
.
lock
():
print
(
'Run on device: %s, %s, %s'
%
(
self
.
address
,
self
.
target_socs
,
self
.
models
))
(
self
.
address
,
self
.
target_socs
,
self
.
device_name
))
self
.
rm
(
self
.
data_dir
)
self
.
exec_command
(
'mkdir -p %s'
%
self
.
data_dir
)
self
.
push
(
host_bin_full_path
,
device_bin_full_path
)
...
...
@@ -949,11 +943,11 @@ class DeviceManager:
for
adb
in
adb_list
:
prop
=
sh_commands
.
adb_getprop_by_serialno
(
adb
[
0
])
android
=
{
YAMLKeyword
.
device_name
:
adb
[
1
],
YAMLKeyword
.
device_name
:
prop
[
'ro.product.model'
].
replace
(
' '
,
''
),
YAMLKeyword
.
target_abis
:
prop
[
'ro.product.cpu.abilist'
].
split
(
','
),
YAMLKeyword
.
target_socs
:
prop
[
'ro.board.platform'
],
YAMLKeyword
.
models
:
prop
[
'ro.product.model'
].
replace
(
' '
,
'_'
),
YAMLKeyword
.
system
:
SystemType
.
android
,
YAMLKeyword
.
address
:
adb
[
0
],
YAMLKeyword
.
username
:
''
,
...
...
@@ -968,9 +962,9 @@ class DeviceManager:
devices
=
devices
[
'devices'
]
device_list
=
[]
for
name
,
dev
in
six
.
iteritems
(
devices
):
dev
[
YAMLKeyword
.
device_name
]
=
name
dev
[
YAMLKeyword
.
device_name
]
=
\
dev
[
YAMLKeyword
.
models
].
replace
(
' '
,
''
)
dev
[
YAMLKeyword
.
system
]
=
SystemType
.
arm_linux
dev
[
YAMLKeyword
.
models
]
=
dev
[
YAMLKeyword
.
models
].
replace
(
' '
,
'_'
)
device_list
.
append
(
dev
)
return
device_list
...
...
@@ -992,7 +986,6 @@ class DeviceManager:
YAMLKeyword
.
target_abis
:
[
ABIType
.
host
],
YAMLKeyword
.
target_socs
:
''
,
YAMLKeyword
.
system
:
SystemType
.
host
,
YAMLKeyword
.
models
:
None
,
YAMLKeyword
.
address
:
None
,
}
...
...
tools/sh_commands.py
浏览文件 @
12c4dace
...
...
@@ -20,7 +20,6 @@ import os
import
re
import
sh
import
struct
import
subprocess
import
sys
import
time
import
platform
...
...
@@ -28,10 +27,6 @@ import platform
import
six
import
common
from
common
import
ModelFormat
from
common
import
ABIType
from
common
import
SystemType
from
common
import
YAMLKeyword
from
common
import
abi_to_internal
sys
.
path
.
insert
(
0
,
"mace/python/tools"
)
...
...
@@ -179,99 +174,16 @@ def adb_get_all_socs():
def
adb_push
(
src_path
,
dst_path
,
serialno
):
six
.
print_
(
"Push %s to %s"
%
(
src_path
,
dst_path
))
sh
.
adb
(
"-s"
,
serialno
,
"push"
,
src_path
,
dst_path
)
def
adb_pull
(
src_path
,
dst_path
,
serialno
):
six
.
print_
(
"Pull %s to %s"
%
(
src_path
,
dst_path
))
try
:
sh
.
adb
(
"-s"
,
serialno
,
"pull"
,
src_path
,
dst_path
)
except
Exception
as
e
:
six
.
print_
(
"Error msg: %s"
%
e
,
file
=
sys
.
stderr
)
def
adb_run
(
abi
,
serialno
,
host_bin_path
,
bin_name
,
args
=
""
,
opencl_profiling
=
True
,
vlog_level
=
0
,
device_bin_path
=
"/data/local/tmp/mace"
,
out_of_range_check
=
True
,
address_sanitizer
=
False
,
simpleperf
=
False
):
host_bin_full_path
=
"%s/%s"
%
(
host_bin_path
,
bin_name
)
device_bin_full_path
=
"%s/%s"
%
(
device_bin_path
,
bin_name
)
props
=
adb_getprop_by_serialno
(
serialno
)
six
.
print_
(
"====================================================================="
)
six
.
print_
(
"Trying to lock device %s"
%
serialno
)
with
device_lock
(
serialno
):
six
.
print_
(
"Run on device: %s, %s, %s"
%
(
serialno
,
props
[
"ro.board.platform"
],
props
[
"ro.product.model"
]))
sh
.
adb
(
"-s"
,
serialno
,
"shell"
,
"rm -rf %s"
%
device_bin_path
)
sh
.
adb
(
"-s"
,
serialno
,
"shell"
,
"mkdir -p %s"
%
device_bin_path
)
adb_push
(
host_bin_full_path
,
device_bin_full_path
,
serialno
)
ld_preload
=
""
if
address_sanitizer
:
adb_push
(
find_asan_rt_library
(
abi
),
device_bin_path
,
serialno
)
ld_preload
=
"LD_PRELOAD=%s/%s"
%
(
device_bin_path
,
asan_rt_library_names
(
abi
)),
opencl_profiling
=
1
if
opencl_profiling
else
0
out_of_range_check
=
1
if
out_of_range_check
else
0
six
.
print_
(
"Run %s"
%
device_bin_full_path
)
stdout_buff
=
[]
process_output
=
make_output_processor
(
stdout_buff
)
if
simpleperf
:
adb_push
(
find_simpleperf_library
(
abi
),
device_bin_path
,
serialno
)
simpleperf_cmd
=
"%s/simpleperf"
%
device_bin_path
sh
.
adb
(
"-s"
,
serialno
,
"shell"
,
ld_preload
,
"MACE_OUT_OF_RANGE_CHECK=%d"
%
out_of_range_check
,
"MACE_OPENCL_PROFILING=%d"
%
opencl_profiling
,
"MACE_CPP_MIN_VLOG_LEVEL=%d"
%
vlog_level
,
simpleperf_cmd
,
"stat"
,
"--group"
,
"raw-l1-dcache,raw-l1-dcache-refill"
,
"--group"
,
"raw-l2-dcache,raw-l2-dcache-refill"
,
"--group"
,
"raw-l1-dtlb,raw-l1-dtlb-refill"
,
"--group"
,
"raw-l2-dtlb,raw-l2-dtlb-refill"
,
device_bin_full_path
,
args
,
_tty_in
=
True
,
_out
=
process_output
,
_err_to_out
=
True
)
else
:
sh
.
adb
(
"-s"
,
serialno
,
"shell"
,
ld_preload
,
"MACE_OUT_OF_RANGE_CHECK=%d"
%
out_of_range_check
,
"MACE_OPENCL_PROFILING=%d"
%
opencl_profiling
,
"MACE_CPP_MIN_VLOG_LEVEL=%d"
%
vlog_level
,
device_bin_full_path
,
args
,
_tty_in
=
True
,
_out
=
process_output
,
_err_to_out
=
True
)
return
""
.
join
(
stdout_buff
)
################################
# Toolchain
################################
...
...
@@ -433,15 +345,6 @@ def gen_mace_engine_factory_source(model_tags,
six
.
print_
(
"Generate mace engine creator source done!
\n
"
)
def
pull_file_from_device
(
serial_num
,
file_path
,
file_name
,
output_dir
):
if
not
os
.
path
.
exists
(
output_dir
):
sh
.
mkdir
(
"-p"
,
output_dir
)
output_path
=
"%s/%s"
%
(
output_dir
,
file_path
)
if
os
.
path
.
exists
(
output_path
):
sh
.
rm
(
'-rf'
,
output_path
)
adb_pull
(
file_path
+
'/'
+
file_name
,
output_dir
,
serial_num
)
def
merge_opencl_binaries
(
binaries_dirs
,
cl_compiled_program_file_name
,
output_file_path
):
...
...
@@ -690,19 +593,17 @@ def push_depended_so_libs(libmace_dynamic_library_path,
abi
,
phone_data_dir
,
serialno
):
dep_so_libs
=
sh
.
bash
(
os
.
environ
[
"ANDROID_NDK_HOME"
]
+
"/ndk-depends"
,
libmace_dynamic_library_path
)
src_file
=
""
for
dep
in
split_stdout
(
dep_so_libs
):
if
dep
==
"libgnustl_shared.so"
:
adb_push
(
"%s/sources/cxx-stl/gnu-libstdc++/4.9/libs/%s/libgnustl_shared.so"
# noqa
%
(
os
.
environ
[
"ANDROID_NDK_HOME"
],
abi
),
phone_data_dir
,
serialno
)
src_file
=
"%s/sources/cxx-stl/gnu-libstdc++/4.9/libs/"
\
"%s/libgnustl_shared.so"
\
%
(
os
.
environ
[
"ANDROID_NDK_HOME"
],
abi
)
elif
dep
==
"libc++_shared.so"
:
adb_push
(
"%s/sources/cxx-stl/llvm-libc++/libs/%s/libc++_shared.so"
# noqa
%
(
os
.
environ
[
"ANDROID_NDK_HOME"
],
abi
),
phone_data_dir
,
serialno
)
src_file
=
"%s/sources/cxx-stl/llvm-libc++/libs/"
\
"%s/libc++_shared.so"
%
(
os
.
environ
[
"ANDROID_NDK_HOME"
],
abi
)
print
(
"push %s to %s"
%
(
src_file
,
phone_data_dir
))
adb_push
(
src_file
,
phone_data_dir
,
serialno
)
def
validate_model
(
abi
,
...
...
@@ -861,149 +762,6 @@ def packaging_lib(libmace_output_dir, project_name):
################################
# benchmark
################################
def
benchmark_model
(
abi
,
serialno
,
benchmark_binary_dir
,
benchmark_binary_name
,
vlog_level
,
embed_model_data
,
model_output_dir
,
mace_model_dir
,
input_nodes
,
output_nodes
,
input_shapes
,
output_shapes
,
model_tag
,
device_type
,
phone_data_dir
,
model_graph_format
,
opencl_binary_file
,
opencl_parameter_file
,
libmace_dynamic_library_path
,
omp_num_threads
=-
1
,
cpu_affinity_policy
=
1
,
gpu_perf_hint
=
3
,
gpu_priority_hint
=
3
,
input_file_name
=
"model_input"
,
link_dynamic
=
False
):
six
.
print_
(
"* Benchmark for %s"
%
model_tag
)
mace_model_path
=
""
if
model_graph_format
==
ModelFormat
.
file
:
mace_model_path
=
"%s/%s.pb"
%
(
mace_model_dir
,
model_tag
)
if
abi
==
"host"
:
libmace_dynamic_lib_dir_path
=
\
os
.
path
.
dirname
(
libmace_dynamic_library_path
)
p
=
subprocess
.
Popen
(
[
"env"
,
"LD_LIBRARY_PATH=%s"
%
libmace_dynamic_lib_dir_path
,
"MACE_CPP_MIN_VLOG_LEVEL=%s"
%
vlog_level
,
"%s/%s"
%
(
benchmark_binary_dir
,
benchmark_binary_name
),
"--model_name=%s"
%
model_tag
,
"--input_node=%s"
%
","
.
join
(
input_nodes
),
"--output_node=%s"
%
","
.
join
(
output_nodes
),
"--input_shape=%s"
%
":"
.
join
(
input_shapes
),
"--output_shape=%s"
%
":"
.
join
(
output_shapes
),
"--input_file=%s/%s"
%
(
model_output_dir
,
input_file_name
),
"--model_data_file=%s/%s.data"
%
(
mace_model_dir
,
model_tag
),
"--device=%s"
%
device_type
,
"--omp_num_threads=%s"
%
omp_num_threads
,
"--cpu_affinity_policy=%s"
%
cpu_affinity_policy
,
"--gpu_perf_hint=%s"
%
gpu_perf_hint
,
"--gpu_priority_hint=%s"
%
gpu_priority_hint
,
"--model_file=%s"
%
mace_model_path
,
])
p
.
wait
()
else
:
sh
.
adb
(
"-s"
,
serialno
,
"shell"
,
"mkdir"
,
"-p"
,
phone_data_dir
)
internal_storage_dir
=
create_internal_storage_dir
(
serialno
,
phone_data_dir
)
for
input_name
in
input_nodes
:
formatted_name
=
common
.
formatted_file_name
(
input_file_name
,
input_name
)
adb_push
(
"%s/%s"
%
(
model_output_dir
,
formatted_name
),
phone_data_dir
,
serialno
)
if
not
embed_model_data
:
adb_push
(
"%s/%s.data"
%
(
mace_model_dir
,
model_tag
),
phone_data_dir
,
serialno
)
if
device_type
==
common
.
DeviceType
.
GPU
:
if
os
.
path
.
exists
(
opencl_binary_file
):
adb_push
(
opencl_binary_file
,
phone_data_dir
,
serialno
)
if
os
.
path
.
exists
(
opencl_parameter_file
):
adb_push
(
opencl_parameter_file
,
phone_data_dir
,
serialno
)
mace_model_phone_path
=
""
if
model_graph_format
==
ModelFormat
.
file
:
mace_model_phone_path
=
"%s/%s.pb"
%
(
phone_data_dir
,
model_tag
)
adb_push
(
mace_model_path
,
mace_model_phone_path
,
serialno
)
if
link_dynamic
:
adb_push
(
libmace_dynamic_library_path
,
phone_data_dir
,
serialno
)
push_depended_so_libs
(
libmace_dynamic_library_path
,
abi
,
phone_data_dir
,
serialno
)
adb_push
(
"%s/%s"
%
(
benchmark_binary_dir
,
benchmark_binary_name
),
phone_data_dir
,
serialno
)
adb_cmd
=
[
"LD_LIBRARY_PATH=%s"
%
phone_data_dir
,
"MACE_CPP_MIN_VLOG_LEVEL=%s"
%
vlog_level
,
"MACE_RUN_PARAMETER_PATH=%s/mace_run.config"
%
phone_data_dir
,
"MACE_INTERNAL_STORAGE_PATH=%s"
%
internal_storage_dir
,
"MACE_OPENCL_PROFILING=1"
,
"%s/%s"
%
(
phone_data_dir
,
benchmark_binary_name
),
"--model_name=%s"
%
model_tag
,
"--input_node=%s"
%
","
.
join
(
input_nodes
),
"--output_node=%s"
%
","
.
join
(
output_nodes
),
"--input_shape=%s"
%
":"
.
join
(
input_shapes
),
"--output_shape=%s"
%
":"
.
join
(
output_shapes
),
"--input_file=%s/%s"
%
(
phone_data_dir
,
input_file_name
),
"--model_data_file=%s/%s.data"
%
(
phone_data_dir
,
model_tag
),
"--device=%s"
%
device_type
,
"--omp_num_threads=%s"
%
omp_num_threads
,
"--cpu_affinity_policy=%s"
%
cpu_affinity_policy
,
"--gpu_perf_hint=%s"
%
gpu_perf_hint
,
"--gpu_priority_hint=%s"
%
gpu_priority_hint
,
"--model_file=%s"
%
mace_model_phone_path
,
"--opencl_binary_file=%s/%s"
%
(
phone_data_dir
,
os
.
path
.
basename
(
opencl_binary_file
)),
"--opencl_parameter_file=%s/%s"
%
(
phone_data_dir
,
os
.
path
.
basename
(
opencl_parameter_file
)),
]
adb_cmd
=
' '
.
join
(
adb_cmd
)
cmd_file_name
=
"%s-%s-%s"
%
(
'cmd_file'
,
model_tag
,
str
(
time
.
time
()))
adb_cmd_file
=
"%s/%s"
%
(
phone_data_dir
,
cmd_file_name
)
tmp_cmd_file
=
"%s/%s"
%
(
'/tmp'
,
cmd_file_name
)
with
open
(
tmp_cmd_file
,
'w'
)
as
cmd_file
:
cmd_file
.
write
(
adb_cmd
)
adb_push
(
tmp_cmd_file
,
adb_cmd_file
,
serialno
)
os
.
remove
(
tmp_cmd_file
)
sh
.
adb
(
"-s"
,
serialno
,
"shell"
,
"sh"
,
adb_cmd_file
,
_fg
=
True
)
sh
.
adb
(
"-s"
,
serialno
,
"shell"
,
"rm"
,
adb_cmd_file
,
_fg
=
True
)
six
.
print_
(
"Benchmark done!
\n
"
)
def
build_run_throughput_test
(
abi
,
serialno
,
vlog_level
,
...
...
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