Updated Tensorflow.Net to 0.70.2 with Tensorflow 2.7.0.
Fixes #7471
NumSharp replaced with Tensorflow.NumPy. TensorShape replaced with Shape, Shape object has dimensions as 64 bit long, check added for casting to 32 bit int alsoTensor constructor using SafeTensorHandle/DangerousGetHandle and TF_DataType not required when casting.
Added StringTensorFactory to wrap addition tensorflow.dll methods required to create Tensors from string based input.
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CI failing is interesting, I wonder if the dotnet9.0 runtime needs to be included in the initial build steps?
Following the standard build process: 6.0.36, 8.0.16 and 10.0.0-preview.3.25171.5 are installed to the machinelearning\.dotnet folder. Running .\build.cmd -test -integrationTest resulted in errors with referencing 9.0.
I installed the runtime manually to the machinelearning\.dotnet location and this was then resolved. Very unsure of where in the tooling pipeline this would need to be updated.
Continuing CI issues, without access to logs we're limited in how far we can proceed with fixes.
/azp run MachineLearning-CI
Azure Pipelines successfully started running 1 pipeline(s).
Sorry for the delay here, I'll have a look and see what failures you're hitting and figure out how we can get this working. Thank you for your contribution - this update is something we've wanted to get in.
CI failures are all due to packages not mirrored to our build feeds. https://dev.azure.com/dnceng-public/public/_build/results?buildId=1066692&view=logs&j=80b813b5-9a08-5859-11a8-dc0e5b556e52&t=99848337-6ccc-53eb-9c14-1b676ae001b9
/__w/1/s/src/Microsoft.ML.Console/Microsoft.ML.Console.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/src/Microsoft.ML.AutoML/Microsoft.ML.AutoML.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/src/Microsoft.ML.CodeGenerator/Microsoft.ML.CodeGenerator.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/src/Microsoft.ML.AutoML.Interactive/Microsoft.ML.AutoML.Interactive.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj : error NU1603: Warning As Error: Microsoft.ML.Samples.GPU depends on SciSharp.TensorFlow.Redist-Linux-GPU (>= 2.7.0) but SciSharp.TensorFlow.Redist-Linux-GPU 2.7.0 was not found. SciSharp.TensorFlow.Redist-Linux-GPU 2.11.1 was resolved instead. [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj : error NU1101: Unable to find package SciSharp.TensorFlow.Redist-Linux-GPU-primary. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj : error NU1101: Unable to find package SciSharp.TensorFlow.Redist-Linux-GPU-fragment1. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj : error NU1101: Unable to find package SciSharp.TensorFlow.Redist-Linux-GPU-fragment2. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj : error NU1101: Unable to find package SciSharp.TensorFlow.Redist-Linux-GPU-fragment3. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.Samples.GPU/Microsoft.ML.Samples.GPU.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.Fairlearn.Tests/Microsoft.ML.Fairlearn.Tests.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.Samples/Microsoft.ML.Samples.csproj : error NU1603: Warning As Error: Microsoft.ML.Samples depends on SciSharp.TensorFlow.Redist (>= 2.7.0) but SciSharp.TensorFlow.Redist 2.7.0 was not found. SciSharp.TensorFlow.Redist 2.16.0 was resolved instead. [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.Samples/Microsoft.ML.Samples.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.PerformanceTests/Microsoft.ML.PerformanceTests.csproj : error NU1603: Warning As Error: Microsoft.ML.PerformanceTests depends on SciSharp.TensorFlow.Redist (>= 2.7.0) but SciSharp.TensorFlow.Redist 2.7.0 was not found. SciSharp.TensorFlow.Redist 2.16.0 was resolved instead. [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.AutoML.Samples/Microsoft.ML.AutoML.Samples.csproj : error NU1603: Warning As Error: Microsoft.ML.AutoML.Samples depends on SciSharp.TensorFlow.Redist (>= 2.7.0) but SciSharp.TensorFlow.Redist 2.7.0 was not found. SciSharp.TensorFlow.Redist 2.16.0 was resolved instead. [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/docs/samples/Microsoft.ML.AutoML.Samples/Microsoft.ML.AutoML.Samples.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.PerformanceTests/Microsoft.ML.PerformanceTests.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.TensorFlow.Tests/Microsoft.ML.TensorFlow.Tests.csproj : error NU1603: Warning As Error: Microsoft.ML.TensorFlow.Tests depends on SciSharp.TensorFlow.Redist (>= 2.7.0) but SciSharp.TensorFlow.Redist 2.7.0 was not found. SciSharp.TensorFlow.Redist 2.16.0 was resolved instead. [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.TensorFlow.Tests/Microsoft.ML.TensorFlow.Tests.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj : error NU1603: Warning As Error: Microsoft.ML.Core.Tests depends on SciSharp.TensorFlow.Redist (>= 2.7.0) but SciSharp.TensorFlow.Redist 2.7.0 was not found. SciSharp.TensorFlow.Redist 2.16.0 was resolved instead. [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.Core.Tests/Microsoft.ML.Core.Tests.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.CodeGenerator.Tests/Microsoft.ML.CodeGenerator.Tests.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.Benchmarks.Tests/Microsoft.ML.Benchmarks.Tests.csproj : error NU1603: Warning As Error: Microsoft.ML.PerformanceTests depends on SciSharp.TensorFlow.Redist (>= 2.7.0) but SciSharp.TensorFlow.Redist 2.7.0 was not found. SciSharp.TensorFlow.Redist 2.16.0 was resolved instead. [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.Benchmarks.Tests/Microsoft.ML.Benchmarks.Tests.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.AutoML.Tests/Microsoft.ML.AutoML.Tests.csproj : error NU1603: Warning As Error: Microsoft.ML.AutoML.Tests depends on SciSharp.TensorFlow.Redist (>= 2.7.0) but SciSharp.TensorFlow.Redist 2.7.0 was not found. SciSharp.TensorFlow.Redist 2.16.0 was resolved instead. [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/test/Microsoft.ML.AutoML.Tests/Microsoft.ML.AutoML.Tests.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/src/Microsoft.ML.Vision/Microsoft.ML.Vision.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/src/Microsoft.ML.TensorFlow/Microsoft.ML.TensorFlow.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/src/Microsoft.ML.DnnAnalyzer/Microsoft.ML.DnnAnalyzer/Microsoft.ML.DnnAnalyzer.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
/__w/1/s/src/Microsoft.ML.Fairlearn/Microsoft.ML.Fairlearn.csproj : error NU1101: Unable to find package MethodBoundaryAspect.Fody. No packages exist with this id in source(s): darc-pub-dotnet-maintenance-packages-ab95a1f1, dotnet-eng, dotnet-libraries, dotnet-libraries-transport, dotnet-public, dotnet-tools, dotnet5-roslyn, dotnet8, dotnet9, mlnet-assets, mlnet-daily, vs-buildservices [/__w/1/s/Microsoft.ML.sln]
Let me help get those mirrored.
Codecov Report
Attention: Patch coverage is 76.33588% with 31 lines in your changes missing coverage. Please review.
Project coverage is 68.99%. Comparing base (
71e1280) to head (e99dcc1). Report is 1 commits behind head on main.
Additional details and impacted files
@@ Coverage Diff @@
## main #7472 +/- ##
=======================================
Coverage 68.98% 68.99%
=======================================
Files 1482 1482
Lines 273880 273901 +21
Branches 28254 28256 +2
=======================================
+ Hits 188941 188977 +36
+ Misses 77553 77534 -19
- Partials 7386 7390 +4
| Flag | Coverage Δ | |
|---|---|---|
| Debug | 68.99% <76.33%> (+<0.01%) |
:arrow_up: |
| production | 63.28% <74.79%> (+<0.01%) |
:arrow_up: |
| test | 89.45% <100.00%> (+<0.01%) |
:arrow_up: |
Flags with carried forward coverage won't be shown. Click here to find out more.
| Files with missing lines | Coverage Δ | |
|---|---|---|
| ...ft.ML.TensorFlow.Tests/TensorFlowEstimatorTests.cs | 98.52% <100.00%> (+0.01%) |
:arrow_up: |
| ...t/Microsoft.ML.TensorFlow.Tests/TensorflowTests.cs | 91.64% <100.00%> (ø) |
|
| .../Microsoft.ML.Vision/ImageClassificationTrainer.cs | 92.17% <97.56%> (+0.03%) |
:arrow_up: |
| ...rc/Microsoft.ML.TensorFlow/TensorTypeExtensions.cs | 65.38% <0.00%> (+30.76%) |
:arrow_up: |
| src/Microsoft.ML.TensorFlow/TensorflowTransform.cs | 85.57% <85.00%> (ø) |
|
| src/Microsoft.ML.Vision/DnnRetrainTransform.cs | 61.01% <61.53%> (ø) |
|
| src/Microsoft.ML.TensorFlow/TensorflowUtils.cs | 72.80% <55.88%> (-0.13%) |
:arrow_down: |
:rocket: New features to boost your workflow:
- :snowflake: Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
Ok, I think this addresses all the feedback. @Crichen Can you have a look at what I did and see if this still would work for you? If so we can bring in another reviewer to get this in.
@ericstj I assume the failing test https://helixr1107v0xdeko0k025g8.blob.core.windows.net/dotnet-machinelearning-refs-pull-7472-merge-57e26a202b58496b9e/Microsoft.ML.Tests/1/console.e9146afc.log?helixlogtype=result is unrelated to tensor flow, right?
..NET Framework tests are not failing, but crashing on exit. Finalizer seems to ~be double-disposing~ accessing another object outside it's graph which has already been finalized/disposed.
Unhandled exception: System.ObjectDisposedException: Cannot access a disposed object.
Object name: 'The ThreadLocal object has been disposed.'.
at System.Threading.ThreadLocal`1.GetValueSlow()
at Tensorflow.BaseSession.DisposeUnmanagedResources(IntPtr handle)
at Tensorflow.DisposableObject.Dispose(Boolean disposing)
at Tensorflow.DisposableObject.Finalize()
System.ObjectDisposedException: Cannot access a disposed object.
Object name: 'The ThreadLocal object has been disposed.'.
at System.Threading.ThreadLocal`1.GetValueSlow()
at Tensorflow.BaseSession.DisposeUnmanagedResources(IntPtr handle)
at Tensorflow.DisposableObject.Dispose(Boolean disposing)
at Tensorflow.DisposableObject.Finalize()
Sigh, that's this ThreadLocal https://github.com/SciSharp/TensorFlow.NET/blob/0ee50d319e5539f15b13f8909fd246c18819d840/src/TensorFlowNET.Core/tensorflow.cs#L47
Which is accessed in the finalizer -- https://github.com/SciSharp/TensorFlow.NET/blob/0ee50d319e5539f15b13f8909fd246c18819d840/src/TensorFlowNET.Core/Sessions/BaseSession.cs#L301 That'll fail if the TF object and it's ThreadLocal's are finalized first.
This bug was introduced in https://github.com/SciSharp/TensorFlow.NET/commit/ec340eeff57c7f9bef8fc21dd94f17889b7453b5#diff-cb5a758e3cc3589393346616092a8e8cb3ab5f0bf833897526f765dff28486e2L294.
It had actually been previously fixed in https://github.com/SciSharp/TensorFlow.NET/commit/43625abe917a4712e8cdad9c7b49c9875f302a68, but was later regressed.
It's partially fixed with https://github.com/SciSharp/TensorFlow.NET/commit/a7c9a75954d219cb606042fcbfbeb1b176781d7e, but that change introduced a problem because _status was not set in all cases. That was fixed in https://github.com/SciSharp/TensorFlow.NET/commit/58de537be5b643c77f887bd13f146894d32bf8f7 but we can't take that due to the strong name bugs.
Let me see if we can somehow workaround this.
I wonder if we just pick up 0.100.4 and then patch it to set the _status value of the session.
would be great to have this merged...Is very annoying being limited to use old NVIDIA cards
@ericstj many thanks for looking at this for us. I'm on holiday next week, but back in on the 21st and I'll check out the branch and have a look over.
I think I have worked around all the crashes. What's happening is buggy finalizer in TF for Session will sometimes crash - depending on the order that the GC decides to finalize objects.
So long as we Dispose all Session objects we'll avoid this.
The problems is that ML.NET has rather loose rules for disposal. Here's the best I can summarize.
- A TensorFlowModel contains a Session and should be disposed if this your final object.
- A TensorFlowEstimator contains the TensorFlowModel, but itself is not disposable. If this is your final object, then you should maintain the lifetime via the TensorFlowModel. The EstimatorChain doesn't have plumbing for IDisosable, presumably because it's an intermediate object that should be fit to a transformer.
- A TensorFlowTransformer contains a copy of the session from the TensorFlow model. This object is Disposable, as is a TransformerChain. If this (or a chain) is your final object then you can use it to manage lifetime.
I found a case of both 1 and 3 in our tests where we weren't disposing, which was causing the objects to hit the finalizer and crash.
I did a scrub of the TF.NET Codebase for other instances of crashing finalizers. I found one in EagerResourceDeleter but we don't use that. Just so happens that was already reported, so I dropped a note about root cause in https://github.com/SciSharp/TensorFlow.NET/issues/984.
@Crichen - bumping this in case you are back from holiday. If you're happy with the changes we can merge this.
Hi @ericstj code looks good, much neater than our long to int hack :-) I've got the branch checked out and we are running an integration test against our code base to make sure that we getting similar results to using the earlier Tensorflow.Net version. Fingers crossed for no distractions today.
Hi @ericstj tested with our code and can see tiny differences in output values but well within tolerances for being updated Tensorflow and statistical modelling. Looks good to merge in! Let us know if you need anything else.
Sounds good. I really wish we could move to the latest Tensorflow.NET, but those breaking changes around strong-name signing are a real blocker for us. At least we are able to use the latest published Tensorflow redist. @luisquintanilla @Oceania2018