Comments (4)
Can we compile a list of operations that you need, to prioritize it in GPUArrays?
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Can we compile a list of operations that you need, to prioritize it in GPUArrays?
Good idea. It would be nice to have a "master list" of supported TrackedArray functionality anyway.
from reversediff.jl.
How is the current situation of ReverseDiff.jl working with GPUArrays.jl?
from reversediff.jl.
Different examples are working, but we haven't attempted to run a complete testsuite or anything ;)
Help to figure out what's covered and what needs improvement would be appreciated!
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Related Issues (20)
- Error when using scalar vs. vector to operate on tracked inupt HOT 1
- Record `Broadcast.broadcasted` instead of `Broadcast.broadcast`
- MethodError: ReverseDiff.TrackedReal ... is ambiguous.
- double free crash with multi-threaded code only when using multiple threads
- @grad_from_chainrules macro fails when using multi-output functions HOT 2
- ReverseDiff documentation shows issue that has been fixed? Nested differentiation of a closure? HOT 1
- `MethodError: *(::Diagonal, ::ReverseDiff.TrackedArray)` is ambiguous.
- `@grad_from_chainrules` hygiene: cannot use custom types in method signature HOT 3
- Define `typemin` for tracked reals.
- ReverseDiff defines a huge number of methods. HOT 3
- Nested differentiation of closures yields incorrect results. Any news on the fix?
- Enhancement proposal: Modular tape caching HOT 16
- Bug: Derivative of transposed-vector times matrix is incorrect. HOT 5
- Strange bug when deferring to ChainRules HOT 1
- Add ChainRulesCore RuleConfig? HOT 1
- mean BigFloat precision
- MethodError: vcat(::ReverseDiff.TrackedArray{Float32, Float32, 2, Matrix{Float32}, Matrix{Float32}}, ::Matrix{Float32}) is ambiguous. HOT 4
- Method ambiguities reported by Aqua
- DiffResults objects are not re-aliased properly HOT 2
- ERROR: LoadError: Some tests did not pass: 146 passed, 0 failed, 1 errored, 0 broken. HOT 1
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