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Merge upstream changes. #1
Commits on Feb 24, 2020
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Commits on Apr 2, 2020
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Implement nnz, nonzeros and nonzeroinds
This also fixes `show` for sparse GPU vectors.
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Commits on Apr 6, 2020
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Project CuArrays v2.0.1 Status `~/work/CuArrays.jl/CuArrays.jl/Project.toml` [621f4979] AbstractFFTs v0.5.0 [79e6a3ab] Adapt v1.0.1 [fa961155] CEnum v0.2.0 [3895d2a7] CUDAapi v4.0.0 [c5f51814] CUDAdrv v6.2.2 [be33ccc6] CUDAnative v3.0.2 [864edb3b] ↑ DataStructures v0.17.10 ⇒ v0.17.11 [0c68f7d7] GPUArrays v3.1.0 #cb79e08 (https://github.com/JuliaGPU/GPUArrays.jl.git) [1914dd2f] MacroTools v0.5.5 [872c559c] NNlib v0.6.6 [189a3867] Reexport v0.2.0 [ae029012] Requires v1.0.1 [a759f4b9] TimerOutputs v0.5.3 [8f399da3] Libdl [37e2e46d] LinearAlgebra [44cfe95a] Pkg [de0858da] Printf [9a3f8284] Random [2f01184e] SparseArrays [10745b16] Statistics
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Commits on Apr 7, 2020
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Commits on Apr 8, 2020
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675: Allow scalar indexing where necessary and add a few tests r=maleadt a=kshyatt Co-authored-by: Katharine Hyatt <khyatt@flatironinstitute.org>
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Commits on Apr 13, 2020
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Project CuArrays v2.0.1 Status `~/work/CuArrays.jl/CuArrays.jl/Project.toml` [621f4979] AbstractFFTs v0.5.0 [79e6a3ab] Adapt v1.0.1 [fa961155] CEnum v0.2.0 [3895d2a7] CUDAapi v4.0.0 [c5f51814] CUDAdrv v6.2.2 [be33ccc6] ↑ CUDAnative v3.0.2 ⇒ v3.0.4 [864edb3b] ↑ DataStructures v0.17.11 ⇒ v0.17.12 [0c68f7d7] GPUArrays v3.1.0 #cb79e08 (https://github.com/JuliaGPU/GPUArrays.jl.git) [1914dd2f] MacroTools v0.5.5 [872c559c] NNlib v0.6.6 [189a3867] Reexport v0.2.0 [ae029012] Requires v1.0.1 [a759f4b9] TimerOutputs v0.5.3 [8f399da3] Libdl [37e2e46d] LinearAlgebra [44cfe95a] Pkg [de0858da] Printf [9a3f8284] Random [2f01184e] SparseArrays [10745b16] Statistics
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604: Actually test error throwing for lsvqr r=maleadt a=kshyatt Can't test mismatched dimensions if the GPU doesn't know about them Co-authored-by: Katharine Hyatt <khyatt@flatironinstitute.org>
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Commits on Apr 20, 2020
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Project CuArrays v2.0.1 Status `~/work/CuArrays.jl/CuArrays.jl/Project.toml` [621f4979] AbstractFFTs v0.5.0 [79e6a3ab] Adapt v1.0.1 [fa961155] CEnum v0.2.0 [3895d2a7] CUDAapi v4.0.0 [c5f51814] CUDAdrv v6.2.2 [be33ccc6] CUDAnative v3.0.4 [864edb3b] ↑ DataStructures v0.17.12 ⇒ v0.17.13 [0c68f7d7] GPUArrays v3.1.0 #cb79e08 (https://github.com/JuliaGPU/GPUArrays.jl.git) [1914dd2f] MacroTools v0.5.5 [872c559c] NNlib v0.6.6 [189a3867] Reexport v0.2.0 [ae029012] Requires v1.0.1 [a759f4b9] ↑ TimerOutputs v0.5.3 ⇒ v0.5.4 [8f399da3] Libdl [37e2e46d] LinearAlgebra [44cfe95a] Pkg [de0858da] Printf [9a3f8284] Random [2f01184e] SparseArrays [10745b16] Statistics
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Commits on Apr 22, 2020
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Commits on Apr 23, 2020
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Commits on Apr 24, 2020
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Merge pull request #572 from janEbert/sparse
Implement a few sparse array basics
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Commits on Apr 25, 2020
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Commits on Apr 26, 2020
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Co-Authored-By: Valentin Churavy <vchuravy@users.noreply.github.com>
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Commits on Apr 27, 2020
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Project CuArrays v2.1.0 Status `~/work/CuArrays.jl/CuArrays.jl/Project.toml` [621f4979] AbstractFFTs v0.5.0 [79e6a3ab] Adapt v1.0.1 [fa961155] CEnum v0.2.0 [3895d2a7] CUDAapi v4.0.0 [c5f51814] ↑ CUDAdrv v6.2.2 ⇒ v6.2.3 [be33ccc6] CUDAnative v3.0.4 [864edb3b] DataStructures v0.17.13 [0c68f7d7] GPUArrays v3.2.0 [1914dd2f] MacroTools v0.5.5 [872c559c] NNlib v0.6.6 [189a3867] Reexport v0.2.0 [ae029012] Requires v1.0.1 [a759f4b9] ↑ TimerOutputs v0.5.4 ⇒ v0.5.5 [8f399da3] Libdl [37e2e46d] LinearAlgebra [44cfe95a] Pkg [de0858da] Printf [9a3f8284] Random [2f01184e] SparseArrays [10745b16] Statistics
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Commits on Apr 28, 2020
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Merge pull request #693 from JuliaGPU/tb/disable_gc
Disable the GC after taking pool-related spinlocks.
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Commits on Apr 30, 2020
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Merge pull request #695 from electronsandstuff/electronsandstuff/syev…
…jBatched adds wrappers for syevjBatched/heevjBatched family of CUSOLVER functions
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Commits on May 1, 2020
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Commits on May 4, 2020
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Project CuArrays v2.1.0 Status `~/work/CuArrays.jl/CuArrays.jl/Project.toml` [621f4979] AbstractFFTs v0.5.0 [79e6a3ab] Adapt v1.0.1 [fa961155] CEnum v0.2.0 [3895d2a7] CUDAapi v4.0.0 [c5f51814] CUDAdrv v6.2.3 [be33ccc6] CUDAnative v3.0.4 [864edb3b] ↑ DataStructures v0.17.13 ⇒ v0.17.15 [0c68f7d7] GPUArrays v3.2.0 [1914dd2f] MacroTools v0.5.5 [872c559c] NNlib v0.6.6 [189a3867] Reexport v0.2.0 [ae029012] Requires v1.0.1 [a759f4b9] TimerOutputs v0.5.5 [8f399da3] Libdl [37e2e46d] LinearAlgebra [44cfe95a] Pkg [de0858da] Printf [9a3f8284] Random [2f01184e] SparseArrays [10745b16] Statistics
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Merge pull request #704 from JuliaGPU/tb/binned_repopulate
Repopulate the pool from freed blocks before allocating.
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Commits on May 5, 2020
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Merge pull request #705 from JuliaGPU/tb/cenum
CEnum 0.3 compatibility.
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