docs

Author: mcabbott

docs/intro.md

@@ -47,7 +47,7 @@ mat1k = rand(3,1000);
 
 On recent versions of Julia, `mapcols` has become much faster, 5-10 times. 
 
-FWIW, times on Julia 1.7-dev & and M1 mac, April 2021:
+FWIW, times on Julia 1.8-dev & and M1 mac, June 2021:
 
 ```
 @btime mapreduce(fun, hcat, eachcol($mat1k)) # 616.250 μs (2317 allocations: 11.69 MiB)
@@ -57,8 +57,12 @@ FWIW, times on Julia 1.7-dev & and M1 mac, April 2021:
 @btime MapCols(fun, $mat1k)                  #   6.217 μs (9 allocations: 47.20 KiB)
 
 @btime ForwardDiff.gradient(m -> sum(mapslices(fun, m, dims=1)), $mat1k); # 70.815 ms (1877210 allocations: 210.64 MiB)
+
 @btime Tracker.gradient(m -> sum(mapcols(fun, m)), $mat1k);               # 29.840 ms (598046 allocations: 26.20 MiB)
 @btime Tracker.gradient(m -> sum(MapCols{3}(fun, m)), $mat1k);            # 25.833 μs (60 allocations: 283.23 KiB)
+
+julia> @btime Zygote.gradient(m -> sum(mapcols(fun, m)), $mat1k);         # 93.750 μs (4047 allocations: 392.14 KiB)
+julia> @btime Zygote.gradient(m -> sum(MapCols{3}(fun, m)), $mat1k);      # 14.834 μs (18 allocations: 164.73 KiB)
 ```
 
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