Trying to convert a Darknet_YOLOv3 frozen graph (.pb) from TensorFlow to TensorRT on Jetson AGX Xavier

chakibdace · April 22, 2021, 11:15pm

Hello evereyone, i 'am trying convert a Darknet_YOLOv3 frozen graph (.pb) from TensorFlow to TensorRT by following the steps of this url and that’s the code i’ve made :

"""
TensorFlow to TensorRT converter with TensorFlow 1.15
Workflow with a fozen graph

"""

import tensorflow as tf
from tensorflow.python.compiler.tensorrt import trt_convert as trt

with tf.compat.v1.Session() as sess:
    # First deserialize your frozen graph:
    with tf.io.gfile.GFile("tensorflow-yolo-v3/frozen_darknet_yolov3_model.pb", 'rb') as f:
        frozen_graph = tf.compat.v1.GraphDef()
        frozen_graph.ParseFromString(f.read())
        # Now you can create a TensorRT inference graph from your
        # frozen graph:
    converter = trt.TrtGraphConverter(
	    input_graph_def=frozen_graph,
	    nodes_blacklist=['output_boxes']) #output nodes
    trt_graph = converter.convert()
    # Import the TensorRT graph into a new graph and run:
    output_node = tf.import_graph_def(
        trt_graph,
        return_elements=['output_boxes'])
    sess.run(output_node)

So when i execute the python file on my Jetson AGX Xavier, i have this OUTPUT :

 2021-04-22 11:03:28.275409: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1049] ARM64 does not support NUMA - returning NUMA node zero

    2021-04-22 11:03:28.275503: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1351] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 27313 MB memory) -> physical GPU (device: 0, name: Xavier, pci bus id: 0000:00:00.0, compute capability: 7.2)

    2021-04-22 11:03:31.784527: I tensorflow/compiler/tf2tensorrt/segment/segment.cc:486] There are 10 ops of 5 different types in the graph that are not converted to TensorRT: ResizeNearestNeighbor, ConcatV2, SplitV, NoOp, Placeholder, (For more information see https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#supported-ops).

    2021-04-22 11:03:32.017294: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:647] Number of TensorRT candidate segments: 6

    2021-04-22 11:03:32.467664: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libnvinfer.so.7

    2021-04-22 11:03:32.706683: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libnvinfer_plugin.so.7

    Killed

How can i avoid this “Killed” and what is the cause of the latter? and how can i save the the frozen graph or the model after the conversion ?

if anyone has an idea … ?

TomK · April 22, 2021, 6:45pm

Moving this topic from Frameworks to the Jetson AGX Xavier forum for better visibility.

AastaLLL · June 10, 2021, 1:02pm

Hi,

Usually, kill is caused by the out of memory.
What Xavier do you use? 8G, 16G or 32G?

Could you also monitor your device for memory first?

$ sudo tegrastats

Another thing is that based on the log, it seems the tf v2 API is used.
It’s also recommended to valid the usage by our document below:
https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#usage-example

Thanks.

chakibdace · April 23, 2021, 8:28am

Thanks for your answer it seems that’s using tensorflow on Jetson boards require too much GPU memory
That’s what i am having when i’am running tegrastats and executing my program at same time, the memory allocation of the RAM keep increasing :

RAM 1883/31927MB (lfb 7202x4MB) SWAP 0/15964MB (cached 0MB) CPU [12%@2188,6%@2188,33%@2188,15%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 6% AO@45C GPU@45.5C Tdiode@49.5C PMIC@100C AUX@45C CPU@46C thermal@45.45C Tboard@44C
RAM 2034/31927MB (lfb 7141x4MB) SWAP 0/15964MB (cached 0MB) CPU [28%@2188,23%@2188,47%@2188,22%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45C GPU@46C Tdiode@49.75C PMIC@100C AUX@45C CPU@46.5C thermal@45.6C Tboard@44C
RAM 2222/31927MB (lfb 7076x4MB) SWAP 0/15964MB (cached 0MB) CPU [12%@2188,13%@2188,52%@2188,24%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 13% AO@45C GPU@46C Tdiode@49.5C PMIC@100C AUX@45C CPU@46.5C thermal@45.75C Tboard@44C
RAM 2439/31927MB (lfb 7007x4MB) SWAP 0/15964MB (cached 0MB) CPU [8%@2188,7%@2188,55%@2188,19%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45C GPU@46C Tdiode@49.75C PMIC@100C AUX@44.5C CPU@46.5C thermal@45.6C Tboard@44C
RAM 2803/31927MB (lfb 6858x4MB) SWAP 0/15964MB (cached 0MB) CPU [4%@2188,4%@2188,40%@2188,4%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45C GPU@45.5C Tdiode@49.5C PMIC@100C AUX@44.5C CPU@46.5C thermal@45.25C Tboard@44C
RAM 3550/31927MB (lfb 6671x4MB) SWAP 0/15964MB (cached 0MB) CPU [10%@2188,6%@2188,100%@2188,6%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45C GPU@45.5C Tdiode@49.75C PMIC@100C AUX@44.5C CPU@46.5C thermal@45.25C Tboard@44C
RAM 3166/31927MB (lfb 6766x4MB) SWAP 0/15964MB (cached 0MB) CPU [6%@2188,3%@2188,98%@2188,2%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45C GPU@45.5C Tdiode@49.5C PMIC@100C AUX@45C CPU@46.5C thermal@45.6C Tboard@44C
RAM 4609/31927MB (lfb 6406x4MB) SWAP 0/15964MB (cached 0MB) CPU [1%@2188,3%@2188,100%@2188,0%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45.5C GPU@46.5C Tdiode@49.5C PMIC@100C AUX@45C CPU@46.5C thermal@45.75C Tboard@44C
RAM 5102/31927MB (lfb 6282x4MB) SWAP 0/15964MB (cached 0MB) CPU [35%@2188,21%@2188,77%@2188,20%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45C GPU@46C Tdiode@49.75C PMIC@100C AUX@45C CPU@47.5C thermal@45.75C Tboard@44C
RAM 5683/31927MB (lfb 6134x4MB) SWAP 0/15964MB (cached 0MB) CPU [63%@2188,36%@2188,100%@2188,32%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45C GPU@46.5C Tdiode@49.75C PMIC@100C AUX@45.5C CPU@48C thermal@46.2C Tboard@44C
RAM 6495/31927MB (lfb 5915x4MB) SWAP 0/15964MB (cached 0MB) CPU [100%@2188,62%@2188,75%@2188,37%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45.5C GPU@46C Tdiode@49.75C PMIC@100C AUX@45.5C CPU@48.5C thermal@46.55C Tboard@44C
RAM 6571/31927MB (lfb 5895x4MB) SWAP 0/15964MB (cached 0MB) CPU [94%@2188,65%@2188,98%@2188,61%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 5% AO@45.5C GPU@46C Tdiode@49.75C PMIC@100C AUX@45.5C CPU@48C thermal@46.55C Tboard@44C
RAM 6747/31927MB (lfb 5830x4MB) SWAP 0/15964MB (cached 0MB) CPU [57%@2188,72%@2188,85%@2188,64%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 2% AO@45.5C GPU@46C Tdiode@49.75C PMIC@100C AUX@45.5C CPU@48C thermal@46.55C Tboard@44C
RAM 6990/31927MB (lfb 5752x4MB) SWAP 0/15964MB (cached 0MB) CPU [30%@2188,100%@2188,40%@2188,45%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 20% AO@45.5C GPU@46.5C Tdiode@49.75C PMIC@100C AUX@45.5C CPU@48C thermal@46.4C Tboard@44C
RAM 8315/31927MB (lfb 5411x4MB) SWAP 0/15964MB (cached 0MB) CPU [15%@2188,100%@2188,50%@2188,78%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45.5C GPU@46C Tdiode@49.75C PMIC@100C AUX@45.5C CPU@48C thermal@46.4C Tboard@44C
RAM 12813/31927MB (lfb 4284x4MB) SWAP 0/15964MB (cached 0MB) CPU [14%@2188,69%@2188,34%@2188,100%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45.5C GPU@46C Tdiode@50C PMIC@100C AUX@45.5C CPU@48C thermal@46.4C Tboard@44C
RAM 17146/31927MB (lfb 3201x4MB) SWAP 0/15964MB (cached 0MB) CPU [83%@2188,91%@2188,77%@2188,100%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45.5C GPU@48.5C Tdiode@49.75C PMIC@100C AUX@45.5C CPU@48.5C thermal@46.4C Tboard@44C
RAM 21701/31927MB (lfb 2062x4MB) SWAP 0/15964MB (cached 0MB) CPU [46%@2188,100%@2188,23%@2188,100%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45.5C GPU@47.5C Tdiode@50C PMIC@100C AUX@45.5C CPU@48C thermal@46.55C Tboard@44C
RAM 26288/31927MB (lfb 914x4MB) SWAP 0/15964MB (cached 0MB) CPU [54%@2188,31%@2188,66%@2188,64%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45.5C GPU@48C Tdiode@50.25C PMIC@100C AUX@45.5C CPU@48C thermal@46.4C Tboard@44C
RAM 29597/31927MB (lfb 190x4MB) SWAP 1/15964MB (cached 0MB) CPU [100%@2188,23%@2188,100%@2188,41%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@46C GPU@46.5C Tdiode@50C PMIC@100C AUX@45.5C CPU@48.5C thermal@46.4C Tboard@44C
RAM 30805/31927MB (lfb 190x4MB) SWAP 15/15964MB (cached 0MB) CPU [100%@2188,95%@2188,74%@2188,68%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45.5C GPU@46C Tdiode@50C PMIC@100C AUX@45.5C CPU@48.5C thermal@46.7C Tboard@44C
RAM 31115/31927MB (lfb 177x4MB) SWAP 186/15964MB (cached 0MB) CPU [100%@2188,84%@2188,73%@2188,100%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@46C GPU@48.5C Tdiode@50C PMIC@100C AUX@45.5C CPU@48.5C thermal@46.7C Tboard@44C
RAM 31171/31927MB (lfb 163x4MB) SWAP 434/15964MB (cached 1MB) CPU [94%@2188,74%@2188,69%@2188,100%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@45.5C GPU@46.5C Tdiode@50.25C PMIC@100C AUX@46C CPU@48.5C thermal@46.7C Tboard@44C
RAM 31285/31927MB (lfb 136x4MB) SWAP 717/15964MB (cached 12MB) CPU [71%@2188,100%@2188,100%@2188,89%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@46C GPU@48.5C Tdiode@50.5C PMIC@100C AUX@45.5C CPU@48.5C thermal@47.3C Tboard@44C
RAM 31411/31927MB (lfb 108x4MB) SWAP 1025/15964MB (cached 12MB) CPU [99%@2188,100%@2188,100%@2188,99%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@46C GPU@49C Tdiode@50C PMIC@100C AUX@45.5C CPU@49C thermal@47.3C Tboard@44C
RAM 31585/31927MB (lfb 68x4MB) SWAP 1392/15964MB (cached 12MB) CPU [99%@2188,95%@2188,99%@2188,98%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@46C GPU@46.5C Tdiode@50.25C PMIC@100C AUX@45.5C CPU@48.5C thermal@46.7C Tboard@44C
RAM 31719/31927MB (lfb 29x4MB) SWAP 2037/15964MB (cached 12MB) CPU [80%@2188,96%@2188,95%@2188,82%@2188,off,off,off,off] EMC_FREQ 0% GR3D_FREQ 0% AO@46C GPU@46.5C Tdiode@50.5C PMIC@100C AUX@46C CPU@48.5C thermal@46.85C Tboard@44C

I’am using 32G AGX Xavier and i tried to free memory with the command :

free -h && sudo sysctl vm.drop_caches=3 && free -h

And that’s what i’am having as OUTPUT :

2021-04-22 17:00:38.831465: I tensorflow/core/common_runtime/bfc_allocator.cc:872] Bin (134217728): 	Total Chunks: 0, Chunks in use: 0. 0B allocated for chunks. 0B in use in bin. 0B client-requested in use in bin.
2021-04-22 17:00:38.831566: I tensorflow/core/common_runtime/bfc_allocator.cc:872] Bin (268435456): 	Total Chunks: 1, Chunks in use: 1. 509.19MiB allocated for chunks. 509.19MiB in use in bin. 412.30MiB client-requested in use in bin.
2021-04-22 17:00:38.831652: I tensorflow/core/common_runtime/bfc_allocator.cc:888] Bin for 1.98MiB was 1.00MiB, Chunk State: 
2021-04-22 17:00:38.831694: I tensorflow/core/common_runtime/bfc_allocator.cc:901] Next region of size 533921792
2021-04-22 17:00:38.831746: I tensorflow/core/common_runtime/bfc_allocator.cc:908] InUse at 0x218a7a000 next 18446744073709551615 of size 533921792
2021-04-22 17:00:38.831787: I tensorflow/core/common_runtime/bfc_allocator.cc:917]      Summary of in-use Chunks by size: 
2021-04-22 17:00:38.831847: I tensorflow/core/common_runtime/bfc_allocator.cc:920] 1 Chunks of size 533921792 totalling 509.19MiB
2021-04-22 17:00:38.831895: I tensorflow/core/common_runtime/bfc_allocator.cc:924] Sum Total of in-use chunks: 509.19MiB
2021-04-22 17:00:38.831934: I tensorflow/core/common_runtime/bfc_allocator.cc:926] total_region_allocated_bytes_: 533921792 memory_limit_: 533921792 available bytes: 0 curr_region_allocation_bytes_: 1067843584
2021-04-22 17:00:38.832132: I tensorflow/core/common_runtime/bfc_allocator.cc:932] Stats: 
Limit:                   533921792
InUse:                   533921792
MaxInUse:                533921792
NumAllocs:                       1
MaxAllocSize:            533921792

2021-04-22 17:00:38.832198: W tensorflow/core/common_runtime/bfc_allocator.cc:427] *********************************************************************************xxxxxxxxxxxxxxxxxxx
2021-04-22 17:00:38.832288: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:41] DefaultLogger Requested amount of GPU memory (2076672 bytes) could not be allocated. There may not be enough free memory for allocation to succeed.
2021-04-22 17:00:38.832357: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:41] DefaultLogger /home/jenkins/workspace/TensorRT/helpers/rel-7.1/L1_Nightly_Internal/build/source/rtSafe/resources.h (181) - OutOfMemory Error in GpuMemory: 0
2021-04-22 17:00:39.150223: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:41] DefaultLogger Out of memory error during getBestTactic: (Unnamed Layer* 0) [Constant] + (Unnamed Layer* 1) [ElementWise]
2021-04-22 17:00:39.150387: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:41] DefaultLogger Try increasing the workspace size with IBuilderConfig::setMaxWorkspaceSize() if using IBuilder::buildEngineWithConfig, or IBuilder::setMaxWorkspaceSize() if using IBuilder::buildCudaEngine.
2021-04-22 17:00:39.150523: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:41] DefaultLogger ../builder/tacticOptimizer.cpp (1715) - TRTInternal Error in computeCosts: 0 (Could not find any implementation for node (Unnamed Layer* 0) [Constant] + (Unnamed Layer* 1) [ElementWise].)
2021-04-22 17:00:39.157632: E tensorflow/compiler/tf2tensorrt/utils/trt_logger.cc:41] DefaultLogger ../builder/tacticOptimizer.cpp (1715) - TRTInternal Error in computeCosts: 0 (Could not find any implementation for node (Unnamed Layer* 0) [Constant] + (Unnamed Layer* 1) [ElementWise].)
2021-04-22 17:00:39.160786: W tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:751] TensorRT node TRTEngineOp_0 added for segment 0 consisting of 397 nodes failed: Internal: Failed to build TensorRT engine. Fallback to TF...
2021-04-22 17:00:57.155215: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:748] TensorRT node detector/yolo-v3/TRTEngineOp_1 added for segment 1 consisting of 52 nodes succeeded.
2021-04-22 17:01:01.260716: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:748] TensorRT node detector/yolo-v3/TRTEngineOp_2 added for segment 2 consisting of 44 nodes succeeded.
2021-04-22 17:01:01.902294: W tensorflow/compiler/tf2tensorrt/convert/trt_optimization_pass.cc:183] TensorRTOptimizer is probably called on funcdef! This optimizer must *NOT* be called on function objects.
2021-04-22 17:01:01.983073: W tensorflow/compiler/tf2tensorrt/convert/trt_optimization_pass.cc:183] TensorRTOptimizer is probably called on funcdef! This optimizer must *NOT* be called on function objects.
2021-04-22 17:01:02.011498: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:821] Optimization results for grappler item: tf_graph
2021-04-22 17:01:02.011629: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   constant_folding: Graph size after: 484 nodes (0), 656 edges (0), time = 1292.104ms.
2021-04-22 17:01:02.011722: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   layout: Graph size after: 507 nodes (23), 679 edges (23), time = 677.796ms.
2021-04-22 17:01:02.011789: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   constant_folding: Graph size after: 505 nodes (-2), 672 edges (-7), time = 489.878ms.
2021-04-22 17:01:02.011825: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   TensorRTOptimizer: Graph size after: 411 nodes (-94), 552 edges (-120), time = 38363.5938ms.
2021-04-22 17:01:02.011869: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   constant_folding: Graph size after: 411 nodes (0), 552 edges (0), time = 299.142ms.
2021-04-22 17:01:02.011896: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:821] Optimization results for grappler item: detector/yolo-v3/TRTEngineOp_1_native_segment
2021-04-22 17:01:02.011920: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   constant_folding: Graph size after: 57 nodes (0), 69 edges (0), time = 25.955ms.
2021-04-22 17:01:02.011939: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   layout: Graph size after: 57 nodes (0), 69 edges (0), time = 30.07ms.
2021-04-22 17:01:02.011955: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   constant_folding: Graph size after: 57 nodes (0), 69 edges (0), time = 26.896ms.
2021-04-22 17:01:02.011992: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   TensorRTOptimizer: Graph size after: 57 nodes (0), 69 edges (0), time = 3.295ms.
2021-04-22 17:01:02.012017: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   constant_folding: Graph size after: 57 nodes (0), 69 edges (0), time = 27.544ms.
2021-04-22 17:01:02.012038: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:821] Optimization results for grappler item: detector/yolo-v3/TRTEngineOp_2_native_segment
2021-04-22 17:01:02.012058: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   constant_folding: Graph size after: 48 nodes (0), 58 edges (0), time = 10.13ms.
2021-04-22 17:01:02.012080: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   layout: Graph size after: 48 nodes (0), 58 edges (0), time = 10.448ms.
2021-04-22 17:01:02.012100: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   constant_folding: Graph size after: 48 nodes (0), 58 edges (0), time = 9.681ms.
2021-04-22 17:01:02.012119: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   TensorRTOptimizer: Graph size after: 48 nodes (0), 58 edges (0), time = 1.092ms.
2021-04-22 17:01:02.012138: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:823]   constant_folding: Graph size after: 48 nodes (0), 58 edges (0), time = 9.298ms.

Is there any other solution to convert my frozen graph with tf-trt and avoiding the out of memory ? cuz i followed that are in the url you provided me and that problem of memory allocation is blocking the conversion

Thanks for your answer

AastaLLL · April 26, 2021, 5:41am

Hi,

It seems that memory usage is much larger than our expectation.
Do you use a standard YOLOv3 model or custom one?

For a standard YOLOv3, below are some tutorial for it and it doesn’t require too much memory.

$ /opt/nvidia/deepstream/deepstream-5.1/sources/objectDetector_Yolo/

$ /usr/src/tensorrt/samples/python/yolov3_onnx/

Thanks.

chakibdace · April 26, 2021, 7:39am

@AastaLLL Thank you for answer, i tried to install onnx but i find some complications

Defaulting to user installation because normal site-packages is not writeable
Collecting onnx
  Downloading onnx-1.9.0.tar.gz (9.8 MB)
     |████████████████████████████████| 9.8 MB 3.8 MB/s 
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... done
    Preparing wheel metadata ... done
Requirement already satisfied: typing-extensions>=3.6.2.1 in /usr/local/lib/python3.6/dist-packages (from onnx) (3.7.4.3)
Requirement already satisfied: numpy>=1.16.6 in /usr/local/lib/python3.6/dist-packages (from onnx) (1.18.5)
Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from onnx) (1.15.0)
Requirement already satisfied: protobuf in /usr/local/lib/python3.6/dist-packages (from onnx) (3.15.7)
Building wheels for collected packages: onnx
  Building wheel for onnx (PEP 517) ... error
  ERROR: Command errored out with exit status 1:
   command: /usr/bin/python3 /usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py build_wheel /tmp/tmpb1sjim8r
       cwd: /tmp/pip-install-lx3tyq7a/onnx_3b031bbdad8d4fa79d4b1c11dfed8cb4
  Complete output (80 lines):
  fatal: not a git repository (or any of the parent directories): .git
  running bdist_wheel
  running build
  running build_py
  running create_version
  running cmake_build
  Using cmake args: ['/usr/bin/cmake', '-DPYTHON_INCLUDE_DIR=/usr/include/python3.6m', '-DPYTHON_EXECUTABLE=/usr/bin/python3', '-DBUILD_ONNX_PYTHON=ON', '-DCMAKE_EXPORT_COMPILE_COMMANDS=ON', '-DONNX_NAMESPACE=onnx', '-DPY_EXT_SUFFIX=.cpython-36m-aarch64-linux-gnu.so', '-DCMAKE_BUILD_TYPE=Release', '-DONNX_ML=1', '/tmp/pip-install-lx3tyq7a/onnx_3b031bbdad8d4fa79d4b1c11dfed8cb4']
  -- The C compiler identification is GNU 7.5.0
  -- The CXX compiler identification is GNU 7.5.0
  -- Check for working C compiler: /usr/bin/cc
  -- Check for working C compiler: /usr/bin/cc -- works
  -- Detecting C compiler ABI info
  -- Detecting C compiler ABI info - done
  -- Detecting C compile features
  -- Detecting C compile features - done
  -- Check for working CXX compiler: /usr/bin/c++
  -- Check for working CXX compiler: /usr/bin/c++ -- works
  -- Detecting CXX compiler ABI info
  -- Detecting CXX compiler ABI info - done
  -- Detecting CXX compile features
  -- Detecting CXX compile features - done
  -- Found PythonInterp: /usr/bin/python3 (found version "3.6.9")
  -- Found PythonLibs: /usr/lib/aarch64-linux-gnu/libpython3.6m.so (found version "3.6.9")
  Generated: /tmp/pip-install-lx3tyq7a/onnx_3b031bbdad8d4fa79d4b1c11dfed8cb4/.setuptools-cmake-build/onnx/onnx-ml.proto
  CMake Error at CMakeLists.txt:292 (message):
    Protobuf compiler not found
  Call Stack (most recent call first):
    CMakeLists.txt:323 (relative_protobuf_generate_cpp)
  
  
  -- Configuring incomplete, errors occurred!
  See also "/tmp/pip-install-lx3tyq7a/onnx_3b031bbdad8d4fa79d4b1c11dfed8cb4/.setuptools-cmake-build/CMakeFiles/CMakeOutput.log".
  Traceback (most recent call last):
    File "/usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py", line 280, in <module>
      main()
    File "/usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py", line 263, in main
      json_out['return_val'] = hook(**hook_input['kwargs'])
    File "/usr/local/lib/python3.6/dist-packages/pip/_vendor/pep517/_in_process.py", line 205, in build_wheel
      metadata_directory)
    File "/usr/local/lib/python3.6/dist-packages/setuptools/build_meta.py", line 230, in build_wheel
      wheel_directory, config_settings)
    File "/usr/local/lib/python3.6/dist-packages/setuptools/build_meta.py", line 215, in _build_with_temp_dir
      self.run_setup()
    File "/usr/local/lib/python3.6/dist-packages/setuptools/build_meta.py", line 267, in run_setup
      self).run_setup(setup_script=setup_script)
    File "/usr/local/lib/python3.6/dist-packages/setuptools/build_meta.py", line 158, in run_setup
      exec(compile(code, __file__, 'exec'), locals())
    File "setup.py", line 359, in <module>
      'backend-test-tools = onnx.backend.test.cmd_tools:main',
    File "/usr/local/lib/python3.6/dist-packages/setuptools/__init__.py", line 163, in setup
      return distutils.core.setup(**attrs)
    File "/usr/lib/python3.6/distutils/core.py", line 148, in setup
      dist.run_commands()
    File "/usr/lib/python3.6/distutils/dist.py", line 955, in run_commands
      self.run_command(cmd)
    File "/usr/lib/python3.6/distutils/dist.py", line 974, in run_command
      cmd_obj.run()
    File "/usr/local/lib/python3.6/dist-packages/wheel/bdist_wheel.py", line 299, in run
      self.run_command('build')
    File "/usr/lib/python3.6/distutils/cmd.py", line 313, in run_command
      self.distribution.run_command(command)
    File "/usr/lib/python3.6/distutils/dist.py", line 974, in run_command
      cmd_obj.run()
    File "/usr/lib/python3.6/distutils/command/build.py", line 135, in run
      self.run_command(cmd_name)
    File "/usr/lib/python3.6/distutils/cmd.py", line 313, in run_command
      self.distribution.run_command(command)
    File "/usr/lib/python3.6/distutils/dist.py", line 974, in run_command
      cmd_obj.run()
    File "setup.py", line 233, in run
      self.run_command('cmake_build')
    File "/usr/lib/python3.6/distutils/cmd.py", line 313, in run_command
      self.distribution.run_command(command)
    File "/usr/lib/python3.6/distutils/dist.py", line 974, in run_command
      cmd_obj.run()
    File "setup.py", line 219, in run
      subprocess.check_call(cmake_args)
    File "/usr/lib/python3.6/subprocess.py", line 311, in check_call
      raise CalledProcessError(retcode, cmd)
  subprocess.CalledProcessError: Command '['/usr/bin/cmake', '-DPYTHON_INCLUDE_DIR=/usr/include/python3.6m', '-DPYTHON_EXECUTABLE=/usr/bin/python3', '-DBUILD_ONNX_PYTHON=ON', '-DCMAKE_EXPORT_COMPILE_COMMANDS=ON', '-DONNX_NAMESPACE=onnx', '-DPY_EXT_SUFFIX=.cpython-36m-aarch64-linux-gnu.so', '-DCMAKE_BUILD_TYPE=Release', '-DONNX_ML=1', '/tmp/pip-install-lx3tyq7a/onnx_3b031bbdad8d4fa79d4b1c11dfed8cb4']' returned non-zero exit status 1.
  ----------------------------------------
  ERROR: Failed building wheel for onnx
Failed to build onnx
ERROR: Could not build wheels for onnx which use PEP 517 and cannot be installed directly

Please can you suggest me a solution to install onnx ? because i couldn’t install it with pip

AastaLLL · June 10, 2021, 1:02pm

Hi,

Please try the below command:

$ sudo apt-get install libprotobuf-dev protobuf-compiler python3-pip
$ pip3 install cython
$ pip3 install onnx

Thanks.

chakibdace · April 29, 2021, 8:37am

Thank you @AastaLLL

That worked for me !