arm-software / armnn-mlperf Goto Github PK
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License: MIT License
Arm mlperf.org benchmark port
License: MIT License
Download dependencies ...
downloading https://mirror.bazel.build/bitbucket.org/eigen/eigen/get/9f48e814419e.tar.gz
downloading https://mirror.bazel.build/github.com/google/gemmlowp/archive/38ebac7b059e84692f53e5938f97a9943c120d98.zip
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/home/samsung/CK-TOOLS/lib-tflite-src-static-1.13.1-gcc-9.3.0-linux-64/src/tensorflow/lite/tools/make/download_dependencies.sh: line 70: unzip: command not found
CK detected a PROBLEM in the third-party CK package:
CK package: lib-tflite-1.13.1-src-static
Native package URL: https://github.com/tensorflow/tensorflow
Git checkout: v1.13.1
CK repo: mlcommons@ck-mlops
CK repo URL: https://github.com/mlcommons/ck-mlops
CK package URL: https://github.com/mlcommons/ck-mlops/tree/master/package/lib-tflite-1.13.1-src-static
Issues URL: https://github.com/mlcommons/ck-mlops/issues
CK stable package URL: https://cKnowledge.io/c/package/lib-tflite-1.13.1-src-static
Please, check that there is no discussion about this issue at https://cKnowledge.io/c/package/lib-tflite-1.13.1-src-static
Please, submit the original comand line and the *full* log to:
* https://github.com/ctuning/ck/issues
* https://github.com/ctuning/ck-mlops/issues
CK error: [package] package installation failed!
Seems only desktop build is available in the docker file currently, do you have android version docker file? Or any plan to build one?
Downloading package from 'https://dl.bintray.com/boostorg/release/1.66.0/source/boost_1_66_0.zip' ...
--2022-01-06 22:04:39-- https://dl.bintray.com/boostorg/release/1.66.0/source/boost_1_66_0.zip
Resolving dl.bintray.com (dl.bintray.com)... 52.39.229.247, 54.70.2.80
Connecting to dl.bintray.com (dl.bintray.com)|52.39.229.247|:443... connected.
HTTP request sent, awaiting response... 502 Bad Gateway
2022-01-06 22:04:40 ERROR 502: Bad Gateway.
Error: downloading package failed!
CK detected a PROBLEM in the third-party CK package:
CK package: lib-boost-1.66.0
Native package URL: https://dl.bintray.com/boostorg/release/1.66.0/source
CK repo: ck-math
CK repo URL: https://github.com/ctuning/ck-math
CK package URL: https://github.com/ctuning/ck-math/tree/master/package/lib-boost-1.66.0
Issues URL: https://github.com/ctuning/ck-math/issues
CK stable package URL: https://cKnowledge.io/c/package/lib-boost-1.66.0
Please, check that there is no discussion about this issue at https://cKnowledge.io/c/package/lib-boost-1.66.0
Please, submit the original comand line and the *full* log to:
* https://github.com/mlcommons/ck/issues
* https://github.com/mlcommons/ck-mlops/issues
This issue lists all reported bugs affecting porting of MLPerf benchmarks for ArmNN:
tflite::TensorType_INT64
for ResNet)On a platform where the OpenCL driver was not in standard system paths,
$ CK_PYTHON=python3 ck benchmark program:object-detection-armnn-tflite --repetitions=1 \
--env.CK_BATCH_SIZE=1 --env.CK_BATCH_COUNT=50 \
--env.USE_NMS=regular --env.USE_OPENCL
would fail at run-time with:
./detect: error while loading shared libraries: libOpenCL.so: cannot open shared object file: No such file or directory
until I added:
diff --git a/program/object-detection-armnn-tflite/.cm/meta.json b/program/object-detection-armnn-tflite/.cm/meta.json
index aa56a14..fb394c6 100644
--- a/program/object-detection-armnn-tflite/.cm/meta.json
+++ b/program/object-detection-armnn-tflite/.cm/meta.json
@@ -180,6 +180,18 @@
"sort": 20,
"tags": "dataset,object-detection,preprocessed"
},
+ "lib-opencl": {
+ "comment": "Although transitive dependency of ArmNN, still have to add it manually if not in standard system paths",
+ "local": "yes",
+ "name": "OpenCL library",
+ "skip_default": "yes",
+ "add_dict": "yes",
+ "sort": 1,
+ "tags": "lib,opencl",
+ "only_for_target_os_tags": [
+ "linux"
+ ]
+ },
"lib-flatbuffers": {
"local": "yes",
"name": "FlatBuffers library",
(not committed)
Interestingly, it would fail with the same error even with NEON:
$ CK_PYTHON=python3 ck benchmark program:object-detection-armnn-tflite --repetitions=1 \
--env.CK_BATCH_SIZE=1 --env.CK_BATCH_COUNT=50 \
--env.USE_NMS=regular --env.USE_NEON
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