mirror of
https://github.com/ml-explore/mlx.git
synced 2025-07-24 10:51:21 +08:00
c4230747a1
* redesign for faster cpu/gpu synch * load + more async CPU * use command encoder API and move more ops to use it * make fence back-end generic + CPU only fence * faster build * fix async eval * fixes + handle temporaries * fix / improve cpu conv * remove unused status, fix siblings * fix extensions * fix * fix no cpu build * format * comments * fix perf regression, remove unecessary abort * fix events, task limit cpu * fix waiting * fix donation / temporaries in normalization
140 lines
2.6 KiB
C++
140 lines
2.6 KiB
C++
// Copyright © 2024 Apple Inc.
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#include "mlx/primitives.h"
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#include "mlx/distributed/primitives.h"
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#include "mlx/fast_primitives.h"
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#define NO_CPU_MULTI(func) \
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void func::eval_cpu( \
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const std::vector<array>& inputs, std::vector<array>& outputs) { \
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throw std::runtime_error(#func " has no CPU implementation."); \
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}
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#define NO_CPU(func) \
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void func::eval_cpu(const std::vector<array>& inputs, array& out) { \
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throw std::runtime_error(#func " has no CPU implementation."); \
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}
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namespace mlx::core {
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NO_CPU(Abs)
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NO_CPU(Add)
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NO_CPU(AddMM)
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NO_CPU(Arange)
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NO_CPU(ArcCos)
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NO_CPU(ArcCosh)
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NO_CPU(ArcSin)
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NO_CPU(ArcSinh)
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NO_CPU(ArcTan)
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NO_CPU(ArcTan2)
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NO_CPU(ArcTanh)
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NO_CPU(ArgPartition)
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NO_CPU(ArgReduce)
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NO_CPU(ArgSort)
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NO_CPU(AsType)
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NO_CPU(AsStrided)
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NO_CPU(BitwiseBinary)
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NO_CPU(BitwiseInvert)
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NO_CPU(BlockMaskedMM)
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NO_CPU(Broadcast)
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NO_CPU(BroadcastAxes)
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NO_CPU(Ceil)
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NO_CPU(Cholesky)
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NO_CPU(Concatenate)
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NO_CPU(Conjugate)
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NO_CPU(Contiguous)
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NO_CPU(Convolution)
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NO_CPU(Copy)
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NO_CPU(Cos)
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NO_CPU(Cosh)
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NO_CPU_MULTI(CustomTransforms)
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NO_CPU_MULTI(Depends)
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NO_CPU(Divide)
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NO_CPU_MULTI(DivMod)
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NO_CPU(DynamicSlice)
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NO_CPU(DynamicSliceUpdate)
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NO_CPU(NumberOfElements)
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NO_CPU(Remainder)
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NO_CPU_MULTI(Eigh)
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NO_CPU(Equal)
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NO_CPU(Erf)
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NO_CPU(ErfInv)
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NO_CPU(Exp)
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NO_CPU(ExpandDims)
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NO_CPU(Expm1)
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NO_CPU(FFT)
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NO_CPU(Flatten)
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NO_CPU(Floor)
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NO_CPU(Full)
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NO_CPU(Gather)
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NO_CPU(GatherAxis)
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NO_CPU(GatherMM)
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NO_CPU(GatherQMM)
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NO_CPU(Greater)
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NO_CPU(GreaterEqual)
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NO_CPU(Hadamard)
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NO_CPU(Imag)
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NO_CPU(Less)
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NO_CPU(LessEqual)
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NO_CPU(Log)
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NO_CPU(Log1p)
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NO_CPU(LogicalNot)
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NO_CPU(LogicalAnd)
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NO_CPU(LogicalOr)
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NO_CPU(LogAddExp)
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NO_CPU_MULTI(LUF)
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NO_CPU(Matmul)
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NO_CPU(Maximum)
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NO_CPU(Minimum)
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NO_CPU(Multiply)
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NO_CPU(Negative)
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NO_CPU(NotEqual)
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NO_CPU(Pad)
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NO_CPU(Partition)
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NO_CPU(Power)
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NO_CPU_MULTI(QRF)
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NO_CPU(QuantizedMatmul)
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NO_CPU(RandomBits)
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NO_CPU(Real)
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NO_CPU(Reduce)
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NO_CPU(Reshape)
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NO_CPU(Round)
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NO_CPU(Scan)
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NO_CPU(Scatter)
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NO_CPU(ScatterAxis)
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NO_CPU(Select)
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NO_CPU(Sigmoid)
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NO_CPU(Sign)
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NO_CPU(Sin)
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NO_CPU(Sinh)
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NO_CPU(Slice)
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NO_CPU(SliceUpdate)
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NO_CPU(Softmax)
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NO_CPU(Sort)
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NO_CPU_MULTI(Split)
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NO_CPU(Square)
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NO_CPU(Squeeze)
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NO_CPU(Sqrt)
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NO_CPU(StopGradient)
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NO_CPU(Subtract)
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NO_CPU_MULTI(SVD)
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NO_CPU(Tan)
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NO_CPU(Tanh)
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NO_CPU(Transpose)
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NO_CPU(Unflatten)
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NO_CPU(Inverse)
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NO_CPU(View)
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namespace fast {
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NO_CPU_MULTI(AffineQuantize)
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} // namespace fast
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namespace distributed {
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NO_CPU_MULTI(AllReduce)
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NO_CPU_MULTI(AllGather)
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NO_CPU_MULTI(Send)
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NO_CPU_MULTI(Recv)
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} // namespace distributed
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} // namespace mlx::core
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