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import streamlit as st
def number_field(label, **args):
c1, c2 = st.columns([2, 4])
c1.write(label)
return c2.number_input('', **args)
st.header("Transformer parameters")
col1, col2 = st.columns([2, 4])
bs = number_field('Batch size', value=10)
h = number_field('Num heads', value=16)
d = number_field('Dimension', value=768)
n = number_field('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
mha_int = mha_flop/mha_bytes
mha_flop = round(mha_flop/1e9, 2)
mha_bytes = round(mha_bytes/1e6, 2)
st.subheader("Multi-query Attention")
c1, c2 = st.columns([2, 3])
c1.write("GFLOP:")
c2.write(str(mha_flop))
c1.write("MB: ")
c2.write(str(mha_bytes))
c1.write("Arithm. intensity:")
c2.write(str(mha_int))
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.subheader("Multi-query Attention")
c1, c2 = st.columns([2, 3])
c1.write("FLOP:")
c2.write(str(mqa_flop))
c1.write("Bytes: ")
c2.write(str(mqa_bytes))
c1.write("Arithm. intensity:")
c2.write(str(mqa_flop/mqa_bytes))
st.header('Attention')
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