统计和用法

SyNAP provides NPU usage information and statistics. This is done via the standard linux /sysfs interface. Basically /sysfs allows to provide information about system devices and resources using a pseudo file-system where each piece of information is seen as a file that can be read/written by the user using standard tools.

On Android statistics are available in /sys/class/misc/synap/device/misc/synap/statistics/:

$ SYNAP_STAT_DIR=/sys/class/misc/synap/device/misc/synap/statistics

On Yocto Linux they are in /sys/class/misc/synap/statistics/:

$ SYNAP_STAT_DIR=/sys/class/misc/synap/statistics

$ ls $SYNAP_STAT_DIR
inference_count  inference_time  network_profile networks

重要

The content of the statistics files is only available from root user.

备注

There are no statistics regarding inference performed on the CPU or the GPU. CPU inference can occour at the user-space level and it’s not possible to track it inside the SyNAP driver.

inference_count

This file contains the total number of inferences performed on the NPU since system startup. Example:

# cat $SYNAP_STAT_DIR/inference_count
1538

inference_time

This file contains the total time spent doing NPU inferences since system startup. It is a 64-bits integer expressed in microseconds. Example:

# cat $SYNAP_STAT_DIR/inference_time
32233264

networks

This file contains detailed information for each network currently loaded in the NPU driver with a line per network. Each line contains the following information:

  • pid: process that created the network

  • nid: unique network id

  • inference_count: number of inferences for this network

  • inference_time: total inference time for this network in us

  • inference_last: last inference time for this network in us

  • iobuf_count: number of I/O buffers currently registered to the network

  • iobuf_size: total size of I/O buffers currently registered to the network

  • layers: number of layers in the network

Example:

# cat $SYNAP_STAT_DIR/networks
pid: 3628, nid: 38, inference_count: 22, inference_time: 40048, inference_last: 1843, iobuf_count: 2, iobuf_size: 151529, layers: 34
pid: 3155, nid: 4, inference_count: 3, inference_time: 5922, inference_last: 1843, iobuf_count: 2, iobuf_size: 451630, layers: 12

重要

This file will be empty if there is no network currently loaded

It’s easy to show in realtime the information for all the networks currently loaded with the standard watch command:

# watch -n 1 cat $SYNAP_STAT_DIR/networks

network_profile

This file contains detailed information for each network currently loaded in the NPU driver, with a line per network. The information in each line is the same as in the networks file. In addition if a model has been compiled offline with profiling enabled (see section 模型分析) or executed online with profiling enabled (see section 用NNAPI进行模型基准测试) the corresponding line will be followed by detailed layer-by-layer information:

  • lyr: index of the layer (or group of layers)

  • cycle: number of execution cycles

  • time_us: execution time in us

  • byte_rd: number of bytes read

  • byte_wr: number of bytes written

  • ot: operation type (NN: Neural Network core, SH: Shader, TP: TensorProcessor)

  • name: operation name

Example:

# cat $SYNAP_STAT_DIR/network_profile
pid: 21756, nid: 1, inference_count: 78, inference_time: 272430, inference_last: 3108, iobuf_count: 2, iobuf_size: 151529, layers: 34
| lyr |    cycle | time_us | byte_rd | byte_wr | ot | name
|   0 |   153811 |     202 |  151344 |       0 | TP | TensorTranspose
|   1 |   181903 |     461 |    6912 |       0 | NN | ConvolutionReluPoolingLayer2
|   2 |     9321 |      52 |    1392 |       0 | NN | ConvolutionReluPoolingLayer2
|   3 |    17430 |      51 |    1904 |       0 | NN | ConvolutionReluPoolingLayer2
|   4 |    19878 |      51 |    1904 |       0 | NN | ConvolutionReluPoolingLayer2
...
|  28 |    16248 |      51 |    7472 |       0 | NN | ConvolutionReluPoolingLayer2
|  29 |   125706 |     408 |  120720 |       0 | TP | FullyConnectedReluLayer
|  30 |   137129 |     196 |    2848 |    1024 | SH | Softmax2Layer
|  31 |        0 |       0 |       0 |       0 | -- | ConvolutionReluPoolingLayer2
|  32 |        0 |       0 |       0 |       0 | -- | ConvolutionReluPoolingLayer2
|  33 |      671 |      51 |    1008 |       0 | NN | ConvolutionReluPoolingLayer2

清除统计

Statistics can be cleared by writing to either the inference_count or inference_time file.

Example:

# cat $SYNAP_STAT_DIR/inference_time
32233264
# echo > $SYNAP_STAT_DIR/inference_time
# cat $SYNAP_STAT_DIR/inference_time
0
# cat $SYNAP_STAT_DIR/inference_count
0

使用 /sysfs 信息

The information available from /sysfs can be easily used from scripts or tools. For example in order to get the average NPU utilization in a 5 seconds period:

us=5000000;
echo > $SYNAP_STAT_DIR/inference_time;
usleep $us;
npu_usage=$((`cat $SYNAP_STAT_DIR/inference_time`*100/us));
echo "Average NPU usage: $npu_usage%"