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Updated
Feb 19, 2022 - C++
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mlir
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ncnn is a high-performance neural network inference framework optimized for the mobile platform
android
ios
caffe
deep-learning
neural-network
mxnet
tensorflow
vulkan
keras
inference
pytorch
artificial-intelligence
simd
riscv
darknet
arm-neon
high-preformance
ncnn
onnx
mlir
dan-garvey
commented
Nov 26, 2021
Testing needed for Scalar ops where type promotion is required; cases like f32+f64.
lgeiger
commented
May 20, 2021
C++ compiler for heterogeneous quantum-classical computing built on Clang and XACC
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Jan 5, 2022 - C++
hanchenye
commented
Oct 17, 2021
In test/create-cores/test_dma1.mlir, -aie-lower-memcpy convert
AIE.memcpy @token0(1, 2) (%t11 : <%buf0, 0, 256>, %t22 : <%buf1, 0, 256>) : (memref<256xi32>, memref<256xi32>)
AIE.memcpy @token1(1, 2) (%t11 : <%buf0, 0, 256>, %t33 : <%buf2, 0, 256>) : (memref<256xi32>, memref<256xi32>)
to (only shows the %t11 side)
%2 = AIE.mem(%0) {
%15 = AIE.dmaStart(MM2S0, ^bb1
a Halide language To MLIR compiler.
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Updated
Aug 30, 2021 - C++
A tree-walker && virtual-machine && JIT interpreter for Lox language
c
interpreter
bytecode
compiler
cpp
virtual-machine
llvm
jit
lox-language
lox
tree-walker
lox-interpreter
mlir
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Updated
Feb 20, 2022 - C++
Guide for converting tensorflow model to ncnn
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Updated
Dec 23, 2021 - Python
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This PR (#2580) added a
getFieldIndex(StringRef)method. Having the same but with a StringAttr would be nice. Would be more efficient in some cases.