Skip to content
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.

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

use tuple args for broadcast #81

Merged
merged 1 commit into from
Nov 3, 2017
Merged

use tuple args for broadcast #81

merged 1 commit into from
Nov 3, 2017

Conversation

SimonDanisch
Copy link
Member

@SimonDanisch SimonDanisch merged commit e909b13 into master Nov 3, 2017
@SimonDanisch SimonDanisch deleted the sd/tuple_brc branch November 3, 2017 11:54
bors bot added a commit that referenced this pull request Jul 15, 2020
300: fix  `fill` when length = 0 r=maleadt a=Ellipse0934

As reported in [#81](JuliaGPU/CUDA.jl#81) , CUDA.jl . Currently constructors such as `CUDA.zeros(T, 0)` would fail for the types not handled by CUDA memset (64-bit numbers not supported).

Previously
```julia
julia> T = Float64
julia> CuArrays.zeros(T, 0)
ERROR: AssertionError: total_threads > 0
Stacktrace:
 [1] #gpu_call#1 at /scratch/snx3000tds/omlins/9_soft_install_julia_1_4/software/Julia/1.4.1-CrayGNU-19.10-cuda-10.1/extensions/packages/GPUArrays/OXvxB/src/device/execution.jl:60 [inlined]
 [2] gpu_call at /scratch/snx3000tds/omlins/9_soft_install_julia_1_4/software/Julia/1.4.1-CrayGNU-19.10-cuda-10.1/extensions/packages/GPUArrays/OXvxB/src/device/execution.jl:46 [inlined]
 [3] fill!(::CuArray{Float64,1,Nothing}, ::Int64) at /scratch/snx3000tds/omlins/9_soft_install_julia_1_4/software/Julia/1.4.1-CrayGNU-19.10-cuda-10.1/extensions/packages/GPUArrays/OXvxB/src/host/construction.jl:12
 [4] zeros(::Type{T} where T, ::Int64, ::Vararg{Int64,N} where N) at /scratch/snx3000tds/omlins/9_soft_install_julia_1_4/software/Julia/1.4.1-CrayGNU-19.10-cuda-10.1/extensions/packages/CuArrays/l0gXB/src/array.jl:337
 [5] top-level scope at REPL[129]:1
```

Now:

```julia
julia> CUDA.zeros(Float64, 0)
0-element CuArray{Float64,1}
```

Co-authored-by: Ellipse0934 <Ellipse0934@github.com>
danielwe added a commit to danielwe/GPUArrays.jl that referenced this pull request Nov 29, 2020
Same problem as in JuliaGPU#81, fixed in JuliaGPU#300, but for `repeat`.
danielwe added a commit to danielwe/GPUArrays.jl that referenced this pull request Nov 29, 2020
Same problem as in JuliaGPU#81, fixed in JuliaGPU#300, but for `repeat`.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Assertion error for broadcasts
1 participant