[TVM Discuss] [Questions] [Question] After auto tune, the speed of resnest101 and resnet101 have big difference

I auto tune on a 1080ti --- [Visit Topic](https://discuss.tvm.ai/t/question-after-auto-tune-the-speed-of-resnest101-and-resnet101-have-big-difference/6748/3) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://

[TVM Discuss] [Questions] [Solved] Cannot connect to my android phone by rpc

My macbook cannot use because of the company's firewall on it. --- [Visit Topic](https://discuss.tvm.ai/t/solved-cannot-connect-to-my-android-phone-by-rpc/6370/4) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](htt

[TVM Discuss] [Questions] Support for TVM Relay with WASM Runtime

I have an int8 quantized model (with json, params) compiled to WASM and another params file that holds dequantization data. While ingesting the model in a NodeJS app, I need to dequantize the weights back to fp32, which requires me to read the parameter files, dequantize the weights and save t

[TVM Discuss] [Questions] Android_rpc_test.py does not return anything

same problem for me. Running in docker --- [Visit Topic](https://discuss.tvm.ai/t/android-rpc-test-py-does-not-return-anything/2706/12) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/u

[TVM Discuss] [Questions] [Solved] Cannot connect to my android phone by rpc

How do you fix it? I have same problem while running in docker. --- [Visit Topic](https://discuss.tvm.ai/t/solved-cannot-connect-to-my-android-phone-by-rpc/6370/3) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](h

[TVM Discuss] [Questions] [Question] After auto tune, the speed of resnest101 and resnet101 have big difference

What is your target device? --- [Visit Topic](https://discuss.tvm.ai/t/question-after-auto-tune-the-speed-of-resnest101-and-resnet101-have-big-difference/6748/2) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](http

[TVM Discuss] [Questions] Issues with quantization, dense turned on

I was trying to quantize model which is having dense layers in the main script the dense layers are turned off, But if I uncomment the ´@register_annotate_function("nn.dense")´ which gives rise to File "/home/.local/lib/python3.6/site-packages/tvm-0.7.dev1-py3.6-linux-x86_64.egg/tvm/rel

[TVM Discuss] [Questions] Parameters: { silent } might not be used

I used autotvm to tune my model by XGBTuner. During tunning, I can see this WARNING: [Task 1/29] Current/Best: 885.44/ 885.44 GFLOPS | Progress: (48/2000) | 42.43 s[03:52:07] WARNING: /workspace/src/learner.cc:480: Parameters: { silent } might not be used. This may not be ac

[TVM Discuss] [Questions] Can not build android_rpc

You can try this way: apps/android_rpc/app/src/main/jni/Android.mk: Line 36 `LOCAL_SRC_FILES := org_apache_tvm_native_c_api.cc` modify: LOCAL_SRC_FILES := org_apache_tvm_native_c_api.cc \ $(ROOT_PATH)/src/runtime/rpc/rpc_channel.cc \