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 the parameter dictionary again.
Is there a way to support TVM Relay functions that allow access to the graph and parameters(save_params_dict, load_params_dict) with a WASM library the way the TVM Runtime is supported? --- [Visit Topic](https://discuss.tvm.ai/t/support-for-tvm-relay-with-wasm-runtime/6765/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/b8b92d769b4a04ce0d5adf039f75fb15a641d4e06d0d19b3777b473fcbe11e19).
