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  /prebuilts/go/darwin-x86/src/image/color/palette/
gen.go 82 fmt.Fprintln(w, "// into 4󫶘 subdivision, with 4 shades in each subcube. Compared to the")
palette.go 12 // into 4󫶘 subdivision, with 4 shades in each subcube. Compared to the
  /prebuilts/go/linux-x86/src/image/color/palette/
gen.go 82 fmt.Fprintln(w, "// into 4󫶘 subdivision, with 4 shades in each subcube. Compared to the")
palette.go 12 // into 4󫶘 subdivision, with 4 shades in each subcube. Compared to the
  /prebuilts/go/darwin-x86/src/crypto/x509/
root_darwin.go 55 // CA. (Compared to 110ms in the cgo path)
  /prebuilts/go/darwin-x86/src/log/syslog/
syslog.go 285 // Compared to the network form below, the changes are:
  /prebuilts/go/linux-x86/src/crypto/x509/
root_darwin.go 55 // CA. (Compared to 110ms in the cgo path)
  /prebuilts/go/linux-x86/src/log/syslog/
syslog.go 285 // Compared to the network form below, the changes are:
  /external/tensorflow/tensorflow/contrib/verbs/
patch_notes_verbs_with_0_copies.md 9 Compared with the current GRPC, verbs and GDR implementation, the result implementation gave the best performance for every model, with any number of nodes. For VGG16 on 8 nodes with 4 P100 GPUs each, the prototype beat the second place by over 15%.

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