Releases: QuantumKitHub/TensorOperations.jl
v5.4.0
TensorOperations v5.4.0
This minor release contains a number of compat version updates, especially for cuTENSOR and CUDA.
Additionally, the automatic differentiation support has been improved to better support second order derivatives, along with a number of performance improvements.
Merged pull requests:
- Bump dependency compat and try using TO on newer CUDA/cuTENSOR (#223) (@kshyatt)
- Add warning to docs about mixing contraction order specification styles (#229) (@lkdvos)
- Bump actions/checkout from 5 to 6 (#232) (@dependabot[bot])
- Add support for higher-order derivatives (#233) (@yitan1)
- CompatHelper: bump compat for DynamicPolynomials in [extras] to 0.6, (keep existing compat) (#234) (@github-actions[bot])
- Avoid computing derivatives with respect to non-differentiable
α, β(#236) (@lkdvos) - Some AD cleanup (#238) (@Jutho)
Closed issues:
- document
similar_from_indices? (#89) - ERROR: MethodError: no method matching Strided.UnsafeStridedView(::Hermitian{Float64,Array{Float64,2}}) (#102)
- Calling ncon with a view throws MethodError (#119)
- How can @tensor macro be used in variable length systems? (#125)
- Add doesn't broadcast (#214)
- Support for second-order differentiation (grad of grad) (#227)
- Contraction order with parentheses + ncon style (#228)
- Bug for CuArray matrix multiplication (#230)
- Performance issue in Zygote AD for TensorOperations.@tensor on CUDA: costly CPU copies in rrule (#235)
v5.3.1
TensorOperations v5.3.1
Merged pull requests:
- Bump actions/checkout from 4 to 5 (#221) (@dependabot[bot])
- Update URLs and support buildkite GPU testing (#222) (@kshyatt)
- Qualify constructor of
CUDAAllocatorin cuTENSOR extension (#224) (@giordano) - [Fix] include alpha when determining the scalartype of a linear combination (#225) (@lkdvos)
Closed issues:
v5.3.0
TensorOperations v5.3.0
This minor version release includes some small fixes, but most importantly changes the precompilation from being opt-out to opt-in. This is mostly because it can take a substantial amount of time, and some users have ran into issues where the precompilation hangs indefinitely, especially on certain cluster architectures.
Merged pull requests:
- Add more descriptive errors to
ncon(#216) (@VictorVanthilt) - Add logo compatible with darkmode (#218) (@VictorVanthilt)
- Avoid using strings in
nconstylechecks and errors (#219) (@lkdvos)
v5.2.1
v5.2.0
TensorOperations v5.2.0
v5.2.0 attempts to improve the overall user experience by including some precompilation for the main methods of this package. For now, this is limited to Array{Float64} or Array{ComplexF64} to not overburden the precompilation time, and we'll be monitoring the implications and adjust accordingly if necessary.
Merged pull requests:
- Add precompile statements (#203) (@lkdvos)
- Add aliasing warning to docs (#204) (@lkdvos)
optimaltreehangs on edge case with all costs equal to 1 (#207) (@lkdvos)
Closed issues:
- Incorrect result when using input tensor to store result of contraction involving sum (#192)
v5.1.4
TensorOperations v5.1.4
Merged pull requests:
- Bump codecov/codecov-action from 4 to 5 (#200) (@dependabot[bot])
- fix ad type instabilities in new zygote (#202) (@Jutho)
Closed issues:
- Debugging bus errors triggered from TensorOperations CUDA calls (#201)
v5.1.3
TensorOperations v5.1.3
Merged pull requests:
v5.1.2
TensorOperations v5.1.2
Fixes a missing allocator in tensorfree!which led to memory leaks in the ManualAllocatorstrategy
Merged pull requests:
Closed issues:
- Einsum Expression works in numpy but not TensorOperations (#195)