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Update app.py
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import streamlit as st
st.header("Transformer parameters")
bs = st.number_input('Batch size: ', value=10)
h = st.number_input('Num heads: ', value=16)
d = st.number_input('Dimension: ', value=768)
n = st.number_input('Seq length: ', value=1024)
st.header('Query, Key, Value projection')
mha_flop = 2*bs*n*d*3*d
mha_bytes = 2*bs*n*d + 2*3*d*d + 2*bs*n*3*d
st.write("Multi-query Attention")
st.write("FLOP: " + mha_flop)
st.write("bytes: " + mha_bytes)
st.write("Arithm. intensity:" + (mha_flop/mha_bytes))
mqa_flop = 2*bs*n*d*(1+2/h)*d
mqa_bytes = 2*bs*n*d + 2*(2/h)*d*d + 2*bs*n*(2/h)*d
st.write("Multi-query Attention")
st.write("FLOP: " + mqa_flop)
st.write("bytes: " + mqa_bytes)
st.write("Arithm. intensity:" + (mqa_flop/mqa_bytes))
st.header('Query, Key, Value projection')