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ValidatedGraphConfig Initialization Failed #5168

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M8DLT opened this issue Feb 24, 2024 · 28 comments
Closed

ValidatedGraphConfig Initialization Failed #5168

M8DLT opened this issue Feb 24, 2024 · 28 comments
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os:macOS Issues on MacOS platform:python MediaPipe Python issues type:build/install For Build and Installation issues

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@M8DLT
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M8DLT commented Feb 24, 2024

OS Platform and Distribution

MacOS ARM

Compiler version

No response

Programming Language and version

Python 3.11.8

Installed using virtualenv? pip? Conda?(if python)

virtualenv pip

MediaPipe version

0.10.10

Bazel version

7.0.2

XCode and Tulsi versions (if iOS)

15.2

Android SDK and NDK versions (if android)

No response

Android AAR (if android)

None

OpenCV version (if running on desktop)

4.9.0

Describe the problem

It gives me errors everytime I run anything that relates to mediapipe. CV runs great, but when trying to use hands = mpHands.Hands(), hands = mp.solutions.hands, I get the error. Is it because I'm running on Mac ARM? I

Complete Logs

/Users/usera/Documents/Development/Apps/prj/.venv/bin/python /Users/usera/Documents/Development/Apps/prj/main.py 

2024-02-24 17:53:59.478 python[83108:17726527] WARNING: AVCaptureDeviceTypeExternal is deprecated for Continuity Cameras. Please use AVCaptureDeviceTypeContinuityCamera and add NSCameraUseContinuityCameraDeviceType to your Info.plist.
Traceback (most recent call last):
  File "/Users/usera/Documents/Development/Apps/prj/main.py", line 8, in <module>
    hands = mpHands.Hands()
            ^^^^^^^^^^^^^^^
  File "/Users/usera/Documents/Development/Apps/prj/.venv/lib/python3.11/site-packages/mediapipe/python/solutions/hands.py", line 114, in __init__
    super().__init__(
  File "/Users/usera/Documents/Development/Apps/prj/.venv/lib/python3.11/site-packages/mediapipe/python/solution_base.py", line 248, in __init__
    self._graph = calculator_graph.CalculatorGraph(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: ValidatedGraphConfig Initialization failed.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.

Process finished with exit code 1
@M8DLT M8DLT added the type:build/install For Build and Installation issues label Feb 24, 2024
@philipqueen
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I was able to replicate this error on an M1 mac with 3.11.7, running mediapipe 0.10.10, trying to run mediapipe holistic pose estimation. Downgrading to 0.10.9 fixed this issue.

It appears to happen on intel macs too, as I only tested the upgrade while trying to fix an issue from someone running 0.10.10 on an intel mac

@surtecha
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surtecha commented Feb 25, 2024

philipqueen

Thanks for the tip. I was facing the same issue on my M3 Mac and downgrading mediapipe to 0.10.9 did resolve it.

@DPLATA
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DPLATA commented Mar 3, 2024

yeaaaaah same, downgrading from 0.10.10 to 0.10.9 worked for me, thanks big dog

@damiannogueiras
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Thanks a lot!!!! Downgrading to 0.10.9 worked for mi, too (apple M2)

@srinrealyf
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Thanks a lot, you guys saved my day. Downgrading MediaPipe to 0.10.9 works like a charm !

@kuaashish kuaashish added platform:python MediaPipe Python issues os:macOS Issues on MacOS labels Mar 11, 2024
@kuaashish
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Hi @M8DLT,

Could you please share the exact standalone code you are following, Or steps taking from our documentation from here? Additionally, kindly confirm the macOS version you are using. This information will help us reproduce and better understand the issue on our end.

Thank you!!

@kuaashish kuaashish added the stat:awaiting response Waiting for user response label Mar 11, 2024
@twoertwein
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I get the same error starting with 0.10.10 on a Mac M2 when loading legacy models (FaceMesh or Hands):

$ python -c "from mediapipe.python.solutions.face_mesh import FaceMesh; FaceMesh()"
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/Users/twoertwein/miniforge3/envs/mediapipe/lib/python3.10/site-packages/mediapipe/python/solutions/face_mesh.py", line 95, in __init__
    super().__init__(
  File "/Users/twoertwein/miniforge3/envs/mediapipe/lib/python3.10/site-packages/mediapipe/python/solution_base.py", line 248, in __init__
    self._graph = calculator_graph.CalculatorGraph(
RuntimeError: ValidatedGraphConfig Initialization failed.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions. 
$ python -c "from mediapipe.python.solutions.hands import Hands; Hands()"  
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/Users/twoertwein/miniforge3/envs/mediapipe/lib/python3.10/site-packages/mediapipe/python/solutions/hands.py", line 114, in __init__
    super().__init__(
  File "/Users/twoertwein/miniforge3/envs/mediapipe/lib/python3.10/site-packages/mediapipe/python/solution_base.py", line 248, in __init__
    self._graph = calculator_graph.CalculatorGraph(
RuntimeError: ValidatedGraphConfig Initialization failed.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.

@google-ml-butler google-ml-butler bot removed the stat:awaiting response Waiting for user response label Mar 11, 2024
@philipqueen
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I was able to replicate this issue with mediapipe 0.10.11 on my M1 (Monterey) Mac as well.
Using @twoertwein's example, but with another legacy solution (holistic): python -c "from mediapipe.python.solutions.holistic import Holistic; Holistic()"

@EsamGhaleb
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Is there any solution? I have the same error!

@pigsnsheep
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I'm getting the same error when running mediapipe.solutions.pose.Pose(), and downgrading to 0.10.9 didn't work.

@AdityaBeewal
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i m also getting same error in mac M1 , is there any solution

@kuaashish
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Hi @AdityaBeewal,

Could you please outline the complete steps you are following, referring to the documentation or standalone code, to replicate the issue and subsequently resolve it if necessary?

Thank you!!

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This issue has been marked stale because it has no recent activity since 7 days. It will be closed if no further activity occurs. Thank you.

@github-actions github-actions bot added the stale label Mar 27, 2024
@sidman51215196
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downgrading mediapipe from 0.10.11 to 0.10.9 worked for me on my m1 mac :)

@google-ml-butler google-ml-butler bot removed stale stat:awaiting response Waiting for user response labels Mar 29, 2024
@philipqueen
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@kuaashish Is any work being done on this? The past two releases on mac error when trying to use any of the legacy solutions. Will this be fixed or are the legacy solutions deprecated?

Below is the full error message. The list of errors seems relatively straightforward, although I'm not familiar enough with the inner workings of mediapipe to tackle it myself.

python -c "from mediapipe.python.solutions.holistic import Holistic; Holistic()"
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/Users/philipqueen/miniconda3/envs/mp_test/lib/python3.11/site-packages/mediapipe/python/solutions/holistic.py", line 114, in __init__
    super().__init__(
  File "/Users/philipqueen/miniconda3/envs/mp_test/lib/python3.11/site-packages/mediapipe/python/solution_base.py", line 248, in __init__
    self._graph = calculator_graph.CalculatorGraph(
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: ValidatedGraphConfig Initialization failed.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
InferenceCalculatorCpu: ; RET_CHECK failure (mediapipe/calculators/tensor/inference_calculator_cpu.cc:63) !options.model_path().empty() ^ kSideInModel(cc).IsConnected()Either model as side packet or model path in options is required.
SplitDetectionVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitNormalizedLandmarkListCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitLandmarkListCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitNormalizedLandmarkListCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitNormalizedLandmarkListCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitNormalizedLandmarkListCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitNormalizedLandmarkListCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
SplitNormalizedLandmarkListCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
InferenceCalculatorCpu: ; RET_CHECK failure (mediapipe/calculators/tensor/inference_calculator_cpu.cc:63) !options.model_path().empty() ^ kSideInModel(cc).IsConnected()Either model as side packet or model path in options is required.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
InferenceCalculatorCpu: ; RET_CHECK failure (mediapipe/calculators/tensor/inference_calculator_cpu.cc:63) !options.model_path().empty() ^ kSideInModel(cc).IsConnected()Either model as side packet or model path in options is required.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
ConstantSidePacketCalculator: ; RET_CHECK failure (mediapipe/calculators/core/constant_side_packet_calculator.cc:64) (cc->OutputSidePackets().NumEntries(kPacketTag))==(options.packet_size())Number of output side packets has to be same as number of packets configured in options.
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
ImageToTensorCalculator: ; RET_CHECK failure (mediapipe/calculators/tensor/image_to_tensor_calculator.cc:144) ValidateOptionOutputDims(options) returned INTERNAL: ; RET_CHECK failure (./mediapipe/calculators/tensor/image_to_tensor_utils.h:136) options.has_output_tensor_float_range() || options.has_output_tensor_int_range() || options.has_output_tensor_uint_range()Output tensor range is required. 
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.
SplitTensorVectorCalculator: The number of output streams should match the number of ranges specified in the CalculatorOptions.

@arnabdotpy
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Thanks a lot, downgrading mediapipe to 0.10.9 worked for me as well. I've Macbook Air M1.

@kuaashish
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Hi @philipqueen,

If the issue stems from legacy solutions, we believe it will not be addressed, as we have already deprecated and ceased maintenance on them.

Thank you!!

@kuaashish kuaashish added the stat:awaiting response Waiting for user response label Apr 12, 2024
@philipqueen
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philipqueen commented Apr 13, 2024

If the issue stems from legacy solutions, we believe it will not be addressed, as we have already deprecated and ceased maintenance on them.

@kuaashish thanks for the response. Maybe it's best if mediapipe adds a deprecation warning when trying to run code like this? It seems even for solutions that are still maintained (hands, pose), they fail with a calculator graph error. Checking the documentation, it seems there's new code recommended on for the maintained solutions:

import mediapipe as mp

BaseOptions = mp.tasks.BaseOptions
PoseLandmarker = mp.tasks.vision.PoseLandmarker
PoseLandmarkerOptions = mp.tasks.vision.PoseLandmarkerOptions
VisionRunningMode = mp.tasks.vision.RunningMode

options = PoseLandmarkerOptions(
    base_options=BaseOptions(model_asset_path=model_path),
    running_mode=VisionRunningMode.IMAGE)

with PoseLandmarker.create_from_options(options) as landmarker:
  # The landmarker is initialized. Use it here.

But accessing the old method like from mediapipe.python.solutions.pose import Pose; Pose() is still possible, it just gives you a calculator graph error.

I think the expected behavior would be either an import error when trying to import the solutions this way, or a logged warning that this is no longer the proper way of calling this solution.

@google-ml-butler google-ml-butler bot removed the stat:awaiting response Waiting for user response label Apr 13, 2024
@alanwilter
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Hi, I built an extensive application on mediapipe.solutions.face_mesh.FaceMesh()

Where can I find details on how to refactor my code to use the latest API please?

@M8DLT M8DLT closed this as completed Apr 15, 2024
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@alanwilter
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I quite don't understand. If I'm using legacy code, why it does work with 0.10.11 in linux? Not even a warning. It's only on Mac it's failing.

@spindlewhorls
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owngrading to 0.10.9 fixed this issue.

It appears to happen on intel macs too, as I only tested the upgrade while trying to fix an issue from someone running 0.10.10 on an intel mac

thank you worked for me too on M1

@lamtaynha1234
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downgrading mediapipe from 0.10.11 to 0.10.9 worked for me on my m1 mac :)

hey, i use m1 mac too, but it not work for me, help me

@lamtaynha1234
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Thanks a lot, downgrading mediapipe to 0.10.9 worked for me as well. I've Macbook Air M1.

hey @arnabdotpy, i've macbook air m1 too, but downgrading mediapipe 0.10.9 not work for me. help me pls

@jarmitage
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Also having this issue on M1

@brndnjrz
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I was able to replicate this error on an M1 mac with 3.11.7, running mediapipe 0.10.10, trying to run mediapipe holistic pose estimation. Downgrading to 0.10.9 fixed this issue.

It appears to happen on intel macs too, as I only tested the upgrade while trying to fix an issue from someone running 0.10.10 on an intel mac

Thanks for the information! Same error on an M3 Mac with python 3.10.11, running mediapipe 0.10.11. Downgrading to 0.10.9 also worked for me!

@ryerson
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ryerson commented Apr 25, 2024

Where can I find details on how to refactor my code to use the latest API please?

https://developers.google.com/mediapipe/solutions/guide#legacy

@twoertwein
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The legacy solutions seem to work with 0.10.13 on Mac again :)

$ python -c "from mediapipe.python.solutions.face_mesh import FaceMesh; FaceMesh()"
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1714788179.915617 3679575 gl_context.cc:357] GL version: 2.1 (2.1 Metal - 88), renderer: Apple M2 Pro
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.

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