Skip to content

Register BFloat16 #1092

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Draft
wants to merge 3 commits into
base: master
Choose a base branch
from
Draft

Register BFloat16 #1092

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
ee532cd
add basic utils for bf16
DhairyaLGandhi Aug 9, 2021
8272c71
imports fix
DhairyaLGandhi Aug 9, 2021
2e21db3
precompile fixes
DhairyaLGandhi Aug 9, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions lib/cudnn/CUDNN.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@ using ..APIUtils
using ..CUDA
using ..CUDA: CUstream, libraryPropertyType
using ..CUDA: libcudnn, @retry_reclaim, isdebug, @context!
using BFloat16s

using CEnum: @cenum

Expand Down
6 changes: 5 additions & 1 deletion lib/cudnn/util.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
cptr(x,a::DenseCuArray{Float64})=Float64[x]
cptr(x,a::DenseCuArray{Float32})=Float32[x]
cptr(x,a::DenseCuArray{Float16})=Float32[x]
cptr(x,a::DenseCuArray{BFloat16s.BFloat16})=BFloat16s.BFloat16[x]

# Conversion between Julia and CUDNN datatypes
cudnnDataType(::Type{Float16})=CUDNN_DATA_HALF
Expand All @@ -10,6 +11,7 @@ cudnnDataType(::Type{Float64})=CUDNN_DATA_DOUBLE
cudnnDataType(::Type{Int8}) = CUDNN_DATA_INT8
cudnnDataType(::Type{UInt8}) = CUDNN_DATA_UINT8
cudnnDataType(::Type{Int32}) = CUDNN_DATA_INT32
cudnnDataType(::Type{BFloat16s.BFloat16}) = CUDNN_DATA_BFLOAT16
# The following are 32-bit elements each composed of 4 8-bit integers, only supported with CUDNN_TENSOR_NCHW_VECT_C
# CUDNN_DATA_INT8x4,
# CUDNN_DATA_UINT8x4,
Expand All @@ -19,7 +21,9 @@ juliaDataType(a)=(a==CUDNN_DATA_HALF ? Float16 :
a==CUDNN_DATA_DOUBLE ? Float64 :
a==CUDNN_DATA_INT8 ? Int8 :
a==CUDNN_DATA_UINT8 ? UInt8 :
a==CUDNN_DATA_INT32 ? Int32 : error())
a==CUDNN_DATA_INT32 ? Int32 :
a==CUDNN_DATA_BFLOAT16 ? BFloat16s.BFloat16 :
error())

tuple_strides(A::Tuple) = _strides((1,), A)
_strides(out::Tuple{Int}, A::Tuple{}) = ()
Expand Down