Comments (2)
rooklift
commented on August 15, 2024
Me too - I'm able to get some error messages though:
Network evaluation configured to use: <NNEvaluatorDef Network=LC0:C:\Users\Owner\Documents\Misc\Chess\Lc0_Networks\781093 Device=GPU:0 >
Loaded network weights: 0 40x512 WDL MLH from \Users\Owner\Documents\Misc\Chess\Lc0_Networks\781093
CUDA device 0: NVIDIA GeForce RTX 2060 SMs: 30 Mem: 5gb
Error when initializing CUDA. Did you install NVidia's CUDA? https://developer.nvidia.com/cuda-zone
ErrorInvalidValue
at ManagedCuda.CudaKernel.set_MaxDynamicSharedSizeBytes(Int32 value)
at Ceres.Chess.NNBackends.CUDA.ResidualBlockFusedCUDA.LoadKernels() in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\Layers\Residual\ResidualBlockFusedCUDA.cs:line 73
at Ceres.Chess.NNBackends.CUDA.ResidualBlockBaseCUDA..ctor(NNBackendExecContext parent, String name, Int32 layerIndex, Int32 c, Int32 h, Int32 w, BaseLayerCUDA inputLayer, Boolean hasSE, Int32 seK, Int32 sharedMemSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\Layers\Residual\ResidualBlockBaseCUDA.cs:line 32
at Ceres.Chess.NNBackends.CUDA.ResidualBlockFusedCUDA..ctor(NNBackendExecContext parent, String name, Int32 layerIndex, BaseLayerCUDA inputLayer, Int32 C, Boolean se, Int32 se_k, Boolean first, Boolean last, Int32 sharedMemSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\Layers\Residual\ResidualBlockFusedCUDA.cs:line 104
at Ceres.Chess.NNBackends.CUDA.NNBackendCUDALayers.DoBuildNetworkAndLoadWeights(NNBackendExecContext execContext, LC0LegacyWeights weights, Int32 kNumInputPlanes) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendCUDALayers.cs:line 156
at Ceres.Chess.NNBackends.CUDA.NNBackendCUDALayers.BuildNetworkAndLoadWeights(NNBackendExecContext execContext, LC0LegacyWeights weights, Int32 kNumInputPlanes) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendCUDALayers.cs:line 145
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA.InitNetwork(Net net) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 360
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA..ctor(Int32 gpuID, Net net, Boolean saveActivations, Int32 maxBatchSize, Boolean dumpTiming, Boolean enableCUDAGraphs, Int32 graphBatchSizeDivisor, NNBackendLC0_CUDA referenceBackend) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 274
CUDA device 0: NVIDIA GeForce RTX 2060 SMs: 30 Mem: 5gb
Error when initializing CUDA. Did you install NVidia's CUDA? https://developer.nvidia.com/cuda-zone
ErrorInvalidValue
at ManagedCuda.CudaKernel.set_MaxDynamicSharedSizeBytes(Int32 value)
at Ceres.Chess.NNBackends.CUDA.ResidualBlockFusedCUDA.LoadKernels() in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\Layers\Residual\ResidualBlockFusedCUDA.cs:line 73
at Ceres.Chess.NNBackends.CUDA.ResidualBlockBaseCUDA..ctor(NNBackendExecContext parent, String name, Int32 layerIndex, Int32 c, Int32 h, Int32 w, BaseLayerCUDA inputLayer, Boolean hasSE, Int32 seK, Int32 sharedMemSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\Layers\Residual\ResidualBlockBaseCUDA.cs:line 32
at Ceres.Chess.NNBackends.CUDA.ResidualBlockFusedCUDA..ctor(NNBackendExecContext parent, String name, Int32 layerIndex, BaseLayerCUDA inputLayer, Int32 C, Boolean se, Int32 se_k, Boolean first, Boolean last, Int32 sharedMemSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\Layers\Residual\ResidualBlockFusedCUDA.cs:line 104
at Ceres.Chess.NNBackends.CUDA.NNBackendCUDALayers.DoBuildNetworkAndLoadWeights(NNBackendExecContext execContext, LC0LegacyWeights weights, Int32 kNumInputPlanes) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendCUDALayers.cs:line 156
at Ceres.Chess.NNBackends.CUDA.NNBackendCUDALayers.BuildNetworkAndLoadWeights(NNBackendExecContext execContext, LC0LegacyWeights weights, Int32 kNumInputPlanes) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendCUDALayers.cs:line 145
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA.InitNetwork(Net net) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 360
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA..ctor(Int32 gpuID, Net net, Boolean saveActivations, Int32 maxBatchSize, Boolean dumpTiming, Boolean enableCUDAGraphs, Int32 graphBatchSizeDivisor, NNBackendLC0_CUDA referenceBackend) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 274
Unhandled exception. System.AggregateException: One or more errors occurred. (Object reference not set to an instance of an object.) (Object reference not set to an instance of an object.)
---> System.NullReferenceException: Object reference not set to an instance of an object.
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA.PrepareInputs(Int32 batchSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 642
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA.DoEvaluateNN(Int32 batchSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 526
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA.EvaluateNN(Int32 batchSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 502
at Ceres.Chess.NNEvaluators.CUDA.NNEvaluatorCUDA.StartEvaluateIntoBuffers(IEncodedPositionBatchFlat positions, Int32 numPositions, Boolean retrieveSupplementalResults) in C:\dev\Ceres\src\Ceres.Chess\NNEvaluators\CUDA\NNEvaluatorCUDA.cs:line 218
at Ceres.Chess.NNEvaluators.CUDA.NNEvaluatorCUDA.DoEvaluateIntoBuffers(IEncodedPositionBatchFlat positions, Boolean retrieveSupplementalResults) in C:\dev\Ceres\src\Ceres.Chess\NNEvaluators\CUDA\NNEvaluatorCUDA.cs:line 225
at Ceres.Chess.NNEvaluators.NNEvaluator.EvaluateIntoBuffers(IEncodedPositionBatchFlat positions, Boolean retrieveSupplementalResults) in C:\dev\Ceres\src\Ceres.Chess\NNEvaluators\NNEvaluator.cs:line 149
at Ceres.MCTS.Params.NNEvaluatorSet.<Warmup>b__18_3() in C:\dev\Ceres\src\Ceres.MCTS\Iteration\Params\NNEvaluatorSet.cs:line 145
at System.Threading.Tasks.Task.InnerInvoke()
at System.Threading.Tasks.Task.<>c.<.cctor>b__277_0(Object obj)
at System.Threading.ExecutionContext.RunInternal(ExecutionContext executionContext, ContextCallback callback, Object state)
--- End of stack trace from previous location ---
at System.Threading.ExecutionContext.RunInternal(ExecutionContext executionContext, ContextCallback callback, Object state)
at System.Threading.Tasks.Task.ExecuteWithThreadLocal(Task& currentTaskSlot, Thread threadPoolThread)
--- End of inner exception stack trace ---
at System.Threading.Tasks.Task.WaitAllCore(Task[] tasks, Int32 millisecondsTimeout, CancellationToken cancellationToken)
at System.Threading.Tasks.Task.WaitAll(Task[] tasks)
at System.Threading.Tasks.Parallel.Invoke(ParallelOptions parallelOptions, Action[] actions)
--- End of stack trace from previous location ---
at System.Threading.Tasks.Parallel.ThrowSingleCancellationExceptionOrOtherException(ICollection exceptions, CancellationToken cancelToken, Exception otherException)
at System.Threading.Tasks.Parallel.Invoke(ParallelOptions parallelOptions, Action[] actions)
at Ceres.Features.UCI.UCIManager.InitializeEngineIfNeeded() in C:\dev\Ceres\src\Ceres.Features\UCI\UCIManager.cs:line 546
at Ceres.Features.UCI.UCIManager.PlayUCI() in C:\dev\Ceres\src\Ceres.Features\UCI\UCIManager.cs:line 296
at Ceres.Commands.DispatchCommands.ProcessCommand(String cmd) in C:\dev\Ceres\src\Ceres\Commands\DispatchCommands.cs:line 73
at Ceres.Program.Main(String[] args) in C:\dev\Ceres\src\Ceres\Program.cs:line 103
---> (Inner Exception #1) System.NullReferenceException: Object reference not set to an instance of an object.
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA.PrepareInputs(Int32 batchSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 642
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA.DoEvaluateNN(Int32 batchSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 526
at Ceres.Chess.NNBackends.CUDA.NNBackendLC0_CUDA.EvaluateNN(Int32 batchSize) in C:\dev\Ceres\src\Ceres.Chess\NNBackends\CUDA\NNBackendLC0_CUDA.cs:line 502
at Ceres.Chess.NNEvaluators.CUDA.NNEvaluatorCUDA.StartEvaluateIntoBuffers(IEncodedPositionBatchFlat positions, Int32 numPositions, Boolean retrieveSupplementalResults) in C:\dev\Ceres\src\Ceres.Chess\NNEvaluators\CUDA\NNEvaluatorCUDA.cs:line 218
at Ceres.Chess.NNEvaluators.CUDA.NNEvaluatorCUDA.DoEvaluateIntoBuffers(IEncodedPositionBatchFlat positions, Boolean retrieveSupplementalResults) in C:\dev\Ceres\src\Ceres.Chess\NNEvaluators\CUDA\NNEvaluatorCUDA.cs:line 225
at Ceres.Chess.NNEvaluators.NNEvaluator.EvaluateIntoBuffers(IEncodedPositionBatchFlat positions, Boolean retrieveSupplementalResults) in C:\dev\Ceres\src\Ceres.Chess\NNEvaluators\NNEvaluator.cs:line 149
at Ceres.MCTS.Params.NNEvaluatorSet.<Warmup>b__18_4() in C:\dev\Ceres\src\Ceres.MCTS\Iteration\Params\NNEvaluatorSet.cs:line 146
at System.Threading.Tasks.Task.InnerInvoke()
at System.Threading.Tasks.Task.<>c.<.cctor>b__277_0(Object obj)
at System.Threading.ExecutionContext.RunFromThreadPoolDispatchLoop(Thread threadPoolThread, ExecutionContext executionContext, ContextCallback callback, Object state)
--- End of stack trace from previous location ---
at System.Threading.ExecutionContext.RunFromThreadPoolDispatchLoop(Thread threadPoolThread, ExecutionContext executionContext, ContextCallback callback, Object state)
at System.Threading.Tasks.Task.ExecuteWithThreadLocal(Task& currentTaskSlot, Thread threadPoolThread)<---
from ceres.
dje-dev
commented on August 15, 2024
There are two issues here. First, as mentioned in the readme, currently Ceres only supports 40b networks on Ampere cards (e.g. 3080), not on the 20x0 series.
Even with 30x0 cards there can also be problems with 40b networks. We have determined that this depends on the NVIDIA driver; the most recent drivers will fail whereas the older ones (on which Ceres was originally tested) work fine.
Work is underway to understand and hopefully fix this later issue.
from ceres.
Related Issues (20)
- Ceres doesn't output a readyok (nibbler) HOT 1
- Ceres errors on long time control. System.ArgumentException: Allocation overflow HOT 3
- Engine incompatible with Cute Chess
- CUDA failed to initialize on Ubuntu HOT 4
- Support for 40x512 Lc0 networks HOT 1
- Problem with new graphing option when Windows user directory includes spaces
- Ceres startet from a Power Automate Desktop flow HOT 1
- Please write some code so we can run Ceres on the new Mac Studio HOT 1
- PV still missing in 0.97RC3 for go nodes 1
- Arena unable to see GPU option HOT 1
- new networks don't work HOT 2
- How to install / compile Ceres on the MacBook Pro M1 Max? HOT 2
- Android port HOT 1
- Will this engine ever compete at TCEC or be merged into Leela? HOT 1
- two cards HOT 1
- Refuses to play to mate with tablebases enabled HOT 2
- Possible bug with setoption "SyzyzyPath"
- Why have tounament feature?
- Ceres dont work
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ceres.