sum! accumulates when called multiple times

[ali-ramadhan]

Describe the bug

Calling sum! twice should produce the exact same answer but it seems to be accumulating.

To reproduce

The Minimal Working Example (MWE) for this bug:

julia> using CUDA

julia> c = zeros(1, 1, 3) |> CuArray
1×1×3 CuArray{Float64,3,Nothing}:
[:, :, 1] =
 0.0

[:, :, 2] =
 0.0

[:, :, 3] =
 0.0

julia> C = rand(3, 3, 3) |> CuArray
3×3×3 CuArray{Float64,3,Nothing}:
[:, :, 1] =
 0.962481  0.629827  0.265588
 0.788683  0.616014  0.324726
 0.310767  0.889413  0.706056

[:, :, 2] =
 0.48003   0.416386  0.311182
 0.680644  0.888396  0.5219
 0.542282  0.720939  0.369657

[:, :, 3] =
 0.930516   0.448027  0.842903
 0.0147062  0.82184   0.0959454
 0.119276   0.673339  0.71639

julia> sum!(c, C)
1×1×3 CuArray{Float64,3,Nothing}:
[:, :, 1] =
 5.493555983655419

[:, :, 2] =
 4.931414632842831

[:, :, 3] =
 4.662941907850207

julia> sum!(c, C)
1×1×3 CuArray{Float64,3,Nothing}:
[:, :, 1] =
 527.3813744309202

[:, :, 2] =
 473.4158047529117

[:, :, 3] =
 447.64242315361986

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[[libfdk_aac_jll]]
deps = ["Libdl", "Pkg"]
git-tree-sha1 = "e17b4513993b4413d31cffd1b36a63625ebbc3d3"
uuid = "f638f0a6-7fb0-5443-88ba-1cc74229b280"
version = "0.1.6+3"

[[libvorbis_jll]]
deps = ["Libdl", "Ogg_jll", "Pkg"]
git-tree-sha1 = "8014e1c1033009edcfe820ec25877a9f1862ba4c"
uuid = "f27f6e37-5d2b-51aa-960f-b287f2bc3b7a"
version = "1.3.6+5"

[[x264_jll]]
deps = ["Libdl", "Pkg"]
git-tree-sha1 = "e496625b900df1b02ab0e02fad316b77446616ef"
uuid = "1270edf5-f2f9-52d2-97e9-ab00b5d0237a"
version = "2020.7.14+1"

[[x265_jll]]
deps = ["Libdl", "Pkg"]
git-tree-sha1 = "ac7d44fa1639a780d0ae79ca1a5a7f4181131825"
uuid = "dfaa095f-4041-5dcd-9319-2fabd8486b76"
version = "3.0.0+2"

Expected behavior

The second call to sum!(c, C) should return the exact same answer as the first call.

Version info

Details on Julia:

Julia Version 1.4.2
Commit 44fa15b150* (2020-05-23 18:35 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Xeon(R) Silver 4214 CPU @ 2.20GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-8.0.1 (ORCJIT, skylake)

Details on CUDA:

CUDA toolkit 10.2.89, artifact installation
CUDA driver 10.2.0
NVIDIA driver 440.44.0

Libraries: 
- CUBLAS: 10.2.2
- CURAND: 10.1.2
- CUFFT: 10.1.2
- CUSOLVER: 10.3.0
- CUSPARSE: 10.3.1
- CUPTI: 12.0.0
- NVML: 10.0.0+440.44
- CUDNN: 7.6.5 (for CUDA 10.2.0)
- CUTENSOR: 1.1.0 (for CUDA 10.2.0)

Toolchain:
- Julia: 1.4.2
- LLVM: 8.0.1
- PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3
- Device support: sm_30, sm_32, sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75

4 device(s):
- TITAN V (sm_70, 11.433 GiB / 11.784 GiB available)
- TITAN V (sm_70, 10.904 GiB / 11.784 GiB available)
- TITAN V (sm_70, 11.772 GiB / 11.784 GiB available)
- TITAN V (sm_70, 11.772 GiB / 11.784 GiB available)

Additional context

Zeroing out the result array seems to be a workaround:

julia> sum!(c, C)
1×1×3 CuArray{Float64,3,Nothing}:
[:, :, 1] =
 5.493555983655419

[:, :, 2] =
 4.931414632842831

[:, :, 3] =
 4.662941907850207

julia> c .= 0
1×1×3 CuArray{Float64,3,Nothing}:
[:, :, 1] =
 0.0

[:, :, 2] =
 0.0

[:, :, 3] =
 0.0

julia> sum!(c, C)
1×1×3 CuArray{Float64,3,Nothing}:
[:, :, 1] =
 5.493555983655419

[:, :, 2] =
 4.931414632842831

[:, :, 3] =
 4.662941907850207

[ali-ramadhan]

Noticed I was on CUDA v1.2.0 so I tried upgrading to v1.2.1 but the issue is still there. Also tried on a Power9 machine with a V100 and issue is there too.