Exiting all the time. Android, Redmi Note 13 pro plus [Bug]

[condr-at]

🐛 Bug

To Reproduce

Steps to reproduce the behavior:

1.Open the app.

2. Press download or chat.

Resulting report added as a screenshot, sorry.

[tqchen]

Seems was due to the fact that data was not completely downloaded. Please consider uninstall reinstall and redownload the weight

[condr-at]

Seems was due to the fact that data was not completely downloaded. Please consider uninstall reinstall and redownload the weight

Already tried this twice. Will do again.

[BlindDeveloper]

Hello, @condr-at Try redownload android app from here https://llm.mlc.ai/docs/deploy/android.html

[condr-at]

Hello, @condr-at Try redownload android app from here https://llm.mlc.ai/docs/deploy/android.html

Yes, tried several times. Maybe, this demo build is incompatible with the hardware.

[BlindDeveloper]

@condr-at What model you do not running?

[condr-at]

@condr-at What model you do not running?

Phi-3 and Gemma. Tried right now another time. No luck. The app also interrupt download by exiting quite often.

[BlindDeveloper]

@condr-at https://github.com/mlc-ai/binary-mlc-llm-libs/releases/tag/Android-06072024

[condr-at]

@condr-at https://github.com/mlc-ai/binary-mlc-llm-libs/releases/tag/Android-06072024

Yes, this acts the same. I suppose it's the same build, because in both there is qwen 2 instead of 1.5.

[BlindDeveloper]

@condr-at I have a device with mediatek 1080 yesterday downloaded the latest available version, and everything works fine for my device. Have you tried using the previous version of the program.

[condr-at]

@BlindDeveloper okay, for the older version I got something like this. Gemma.

`MLCChat failed

Stack trace: org.apache.tvm.Base$TVMError: TVMError: Function vm.builtin.paged_attention_kv_cache_create_reduced(0: runtime.ShapeTuple, 1: int64_t, 2: int64_t, 3: int64_t, 4: int64_t, 5: int, 6: double, 7: double, 8: runtime.NDArray, 9: runtime.PackedFunc, 10: runtime.PackedFunc, 11: runtime.PackedFunc, 12: runtime.PackedFunc, 13: runtime.PackedFunc, 14: runtime.PackedFunc, 15: runtime.PackedFunc, 16: runtime.PackedFunc, 17: runtime.PackedFunc, 18: runtime.PackedFunc) -> relax.vm.AttentionKVCache expects 19 arguments, but 18 were provided. Stack trace: File "/Users/kartik/mlc/tvm/include/tvm/runtime/packed_func.h", line 1908

at org.apache.tvm.Base.checkCall(Base.java:173)
at org.apache.tvm.Function.invoke(Function.java:130)
at ai.mlc.mlcllm.ChatModule.reload(ChatModule.java:46)
at ai.mlc.mlcchat.AppViewModel$ChatState$mainReloadChat$1$2.invoke(AppViewModel.kt:648)
at ai.mlc.mlcchat.AppViewModel$ChatState$mainReloadChat$1$2.invoke(AppViewModel.kt:646)
at ai.mlc.mlcchat.AppViewModel$ChatState.callBackend(AppViewModel.kt:548)
at ai.mlc.mlcchat.AppViewModel$ChatState.mainReloadChat$lambda$3(AppViewModel.kt:646)
at ai.mlc.mlcchat.AppViewModel$ChatState.$r8$lambda$CXL6v4mjTu_Sr5Pk2zFDcus0R-8(Unknown Source:0)
at ai.mlc.mlcchat.AppViewModel$ChatState$$ExternalSyntheticLambda2.run(Unknown Source:8)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:487)
at java.util.concurrent.FutureTask.run(FutureTask.java:264)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:644)
at java.lang.Thread.run(Thread.java:1012)

Error message: TVMError: Function vm.builtin.paged_attention_kv_cache_create_reduced(0: runtime.ShapeTuple, 1: int64_t, 2: int64_t, 3: int64_t, 4: int64_t, 5: int, 6: double, 7: double, 8: runtime.NDArray, 9: runtime.PackedFunc, 10: runtime.PackedFunc, 11: runtime.PackedFunc, 12: runtime.PackedFunc, 13: runtime.PackedFunc, 14: runtime.PackedFunc, 15: runtime.PackedFunc, 16: runtime.PackedFunc, 17: runtime.PackedFunc, 18: runtime.PackedFunc) -> relax.vm.AttentionKVCache expects 19 arguments, but 18 were provided. Stack trace: File "/Users/kartik/mlc/tvm/include/tvm/runtime/packed_func.h", line 1908`

[condr-at]

My hardware.

[BlindDeveloper]

@condr-at In old version try phi2, on my device in Gemma was be similar issue, but latest version fix it. What about Llama?

[condr-at]

@condr-at In old version try phi2, on my device in Gemma was be similar issue, but latest version fix it. What about Llama?

Phi says this:

MLCChat failed

Stack trace: org.apache.tvm.Base$TVMError: ValueError: Error when loading parameters from params_shard_30.bin: [22:02:48] /Users/kartik/mlc/tvm/src/runtime/relax_vm/ndarray_cache_support.cc:193: Check failed: this->nbytes == raw_data_buffer->length() (29521920 vs. 22620832) : ValueError: Encountered an corrupted parameter shard. It means it is not downloaded completely or downloading is interrupted. Please try to download again. Stack trace: File "/Users/kartik/mlc/tvm/src/runtime/relax_vm/ndarray_cache_support.cc", line 255

at org.apache.tvm.Base.checkCall(Base.java:173)
at org.apache.tvm.Function.invoke(Function.java:130)
at ai.mlc.mlcllm.ChatModule.reload(ChatModule.java:46)
at ai.mlc.mlcchat.AppViewModel$ChatState$mainReloadChat$1$2.invoke(AppViewModel.kt:648)
at ai.mlc.mlcchat.AppViewModel$ChatState$mainReloadChat$1$2.invoke(AppViewModel.kt:646)
at ai.mlc.mlcchat.AppViewModel$ChatState.callBackend(AppViewModel.kt:548)
at ai.mlc.mlcchat.AppViewModel$ChatState.mainReloadChat$lambda$3(AppViewModel.kt:646)
at ai.mlc.mlcchat.AppViewModel$ChatState.$r8$lambda$CXL6v4mjTu_Sr5Pk2zFDcus0R-8(Unknown Source:0)
at ai.mlc.mlcchat.AppViewModel$ChatState$$ExternalSyntheticLambda2.run(Unknown Source:8)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:487)
at java.util.concurrent.FutureTask.run(FutureTask.java:264)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:644)
at java.lang.Thread.run(Thread.java:1012)

Error message: ValueError: Error when loading parameters from params_shard_30.bin: [22:02:48] /Users/kartik/mlc/tvm/src/runtime/relax_vm/ndarray_cache_support.cc:193: Check failed: this->nbytes == raw_data_buffer->length() (29521920 vs. 22620832) : ValueError: Encountered an corrupted parameter shard. It means it is not downloaded completely or downloading is interrupted. Please try to download again. Stack trace: File "/Users/kartik/mlc/tvm/src/runtime/relax_vm/ndarray_cache_support.cc", line 255

[BlindDeveloper]

@condr-at Do you tested this build? https://github.com/mlc-ai/binary-mlc-llm-libs/releases/tag/Android

[zhb-code]

I have the same model as yours, the problem is the same, my model is Qwen1.5-1.8B-Chat-q4f16_1, error message: File "/path-to/mlc-llm/3rdparty/tvm/src/runtime/relax_vm/ndarray_cache_support.cc", line 255
at org.apache.tvm.Base.checkCall(Base.java:173) at org.apache.tvm.Function.invoke(Function.java:130) at ai.mlc.mlcllm.JSONFFIEngine.runBackgroundLoop(JSONFFIEngine.java:64) at ai.mlc.mlcllm.MLCEngine$backgroundWorker$1.invoke(MLCEngine.kt:42) at ai.mlc.mlcllm.MLCEngine$backgroundWorker$1.invoke(MLCEngine.kt:40) at ai.mlc.mlcllm.BackgroundWorker$start$1.invoke(MLCEngine.kt:19) at ai.mlc.mlcllm.BackgroundWorker$start$1.invoke(MLCEngine.kt:18) at kotlin.concurrent.ThreadsKt$thread$thread$1.run(Thread.kt:30)

Do you have any follow-up solutions？

[condr-at]

@BlindDeveloper Yes, already tested. Now O wonder maybe I should learn to compile by myself, or this will make a problem even worse...