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适用于移动和Web的高效浮点神经网络推理运算符XNNPACK是高度优化的用于ARM,WebAssembly和x86平台的浮点神经网络推理运算符库。 XNNPACK不适用于深度学习从业人员和研究人员; 相反,它提供了低级性能原语来加速高级机器学习框架,例如TensorFlow Lite,TensorFlow.js,PyTorch和MediaPipe。 Android,Linux和iOS(包括WatchOS和tvOS)上支持的体系结构ARM64 ARMv7(wi
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适用于移动设备,服务器和Web的高效浮点神经网络推理运算符-Python开发 (4602个子文件)
BUILD.bazel 291KB
.bazelrc 1KB
cpuinfo.BUILD 8KB
clog.BUILD 766B
FP16.BUILD 336B
BUILD 0B
build_defs.bzl 17KB
emscripten.bzl 1KB
init.c 211KB
up24x25-minmax-gemmlowp-sse2-mul16.c 101KB
up24x25-minmax-gemmlowp-ssse3-mul16.c 101KB
up24x25-minmax-gemmlowp-sse41-mul16.c 85KB
up24x25-minmax-gemmlowp-avx-mul16.c 85KB
runtime.c 78KB
up16x25-minmax-gemmlowp-sse2-mul16.c 78KB
up16x25-minmax-gemmlowp-ssse3-mul16.c 77KB
up24x25-minmax-gemmlowp-sse41-mul32.c 67KB
up24x25-minmax-gemmlowp-avx-mul32.c 67KB
up32x25-minmax-gemmlowp-avx2-mul16.c 66KB
up16x25-minmax-gemmlowp-sse41-mul16.c 66KB
up16x25-minmax-gemmlowp-avx-mul16.c 66KB
up24x25-minmax-gemmlowp-xop-mul32.c 64KB
6x16-minmax-gemmlowp-neon-mlal-lane-prfm.c 62KB
6x16-minmax-gemmlowp-neon-mlal-lane.c 62KB
5x5p2-minmax-wasmsimd-x86-splat-5x4.c 61KB
6x16-minmax-gemmlowp-neon-mlal-lane-prfm.c 61KB
6x16-minmax-gemmlowp-neon-mlal-lane.c 61KB
5x5p2-minmax-wasmsimd-arm-splat-5x4.c 61KB
4x16c2-minmax-gemmlowp-neon-mlal-padal-dup.c 60KB
up24x25-minmax-gemmlowp-wasmsimd-mul16.c 59KB
4x16c2-minmax-gemmlowp-neon-mlal-padal-dup.c 59KB
packing.c 57KB
up32x25-minmax-gemmlowp-avx2-mul32.c 57KB
up32x25-minmax-gemmlowp-neon-mul16.c 57KB
convolution-nhwc.c 57KB
3x3s2p1c3x8-neon-2x2.c 55KB
3x3s2p0p1c3x8-neon-2x2.c 55KB
3x3s2p1c3x8-neonfma-2x2.c 55KB
3x3s2p0p1c3x8-neonfma-2x2.c 55KB
up8x25-minmax-gemmlowp-sse2-mul16.c 55KB
up8x25-minmax-gemmlowp-ssse3-mul16.c 54KB
5x5p2-minmax-wasmsimd-x86-splat-4x4-acc2.c 51KB
5x5p2-minmax-wasmsimd-x86-splat-4x4.c 51KB
5x5p2-minmax-wasmsimd-arm-splat-4x4-acc2.c 50KB
5x5p2-minmax-wasmsimd-arm-splat-4x4.c 50KB
up16x25-minmax-gemmlowp-sse41-mul32.c 49KB
up16x25-minmax-gemmlowp-avx-mul32.c 49KB
4x16c8-minmax-gemmlowp-neon-mlal-padal.c 49KB
operator-run.c 49KB
4x16c8-minmax-gemmlowp-neon-mlal-padal.c 48KB
up16x25-minmax-gemmlowp-xop-mul32.c 48KB
up24x25-minmax-gemmlowp-avx2-mul32.c 47KB
5x5p2-minmax-wasmsimd-x86-loadsplat-5x4.c 47KB
3x16c2-minmax-gemmlowp-neon-mlal-padal-dup.c 47KB
up24x25-minmax-gemmlowp-neon-mul16.c 47KB
up24x9-minmax-gemmlowp-sse2-mul16.c 47KB
up16x25-minmax-gemmlowp-avx2-mul16.c 47KB
up8x25-minmax-gemmlowp-sse41-mul16.c 47KB
up8x25-minmax-gemmlowp-avx-mul16.c 47KB
4x16-minmax-gemmlowp-neon-mull-addw-dup.c 47KB
up24x9-minmax-gemmlowp-ssse3-mul16.c 47KB
5x5p2-minmax-wasmsimd-arm-loadsplat-5x4.c 46KB
5x5p2-minmax-sse-5x4.c 46KB
3x16c2-minmax-gemmlowp-neon-mlal-padal-dup.c 46KB
up16x25-minmax-gemmlowp-wasmsimd-mul16.c 46KB
4x16-minmax-gemmlowp-neon-mull-addw-dup.c 46KB
5x5p2-minmax-neonfma-5x4.c 45KB
5x5p2-minmax-neon-5x4.c 45KB
8x8-minmax-neon.c 45KB
4x16-minmax-gemmlowp-neon-mlal-lane-prfm.c 44KB
8x8-minmax-neon.c 44KB
4x16-minmax-gemmlowp-neon-mlal-lane.c 44KB
4x16-minmax-gemmlowp-neon-mlal-lane-prfm.c 43KB
4x16-minmax-gemmlowp-neon-mlal-lane.c 43KB
up32x25-minmax-gemmlowp-avx512skx-mul32.c 42KB
4x16c16-minmax-gemmlowp-neon-mlal-padal.c 41KB
4x16c16-minmax-gemmlowp-neon-mlal-padal.c 41KB
5x5p2-minmax-wasmsimd-x86-splat-3x4-acc2.c 40KB
5x5p2-minmax-wasmsimd-x86-loadsplat-4x4-acc2.c 40KB
5x5p2-minmax-wasmsimd-x86-splat-3x4.c 40KB
7p7x-minmax-sse2-c24-acc2.c 40KB
deconvolution-nhwc.c 40KB
5x5p2-minmax-wasmsimd-x86-loadsplat-4x4.c 40KB
5x5p2-minmax-wasmsimd-arm-splat-3x4-acc2.c 40KB
5x5p2-minmax-wasmsimd-arm-splat-3x4.c 39KB
5x5p2-minmax-wasmsimd-arm-loadsplat-4x4-acc2.c 39KB
5x5p2-minmax-sse-4x4-acc2.c 39KB
5x5p2-minmax-wasmsimd-arm-loadsplat-4x4.c 39KB
5x5p2-minmax-sse-4x4.c 39KB
7p7x-minmax-ssse3-c24-acc2.c 39KB
3x16c8-minmax-gemmlowp-neon-mlal-padal.c 39KB
5x5p2-minmax-neonfma-4x4-acc2.c 38KB
5x5p2-minmax-neon-4x4-acc2.c 38KB
5x5p2-minmax-neonfma-4x4.c 38KB
3x16c8-minmax-gemmlowp-neon-mlal-padal.c 38KB
5x5p2-minmax-neon-4x4.c 38KB
up24x9-minmax-gemmlowp-sse41-mul16.c 38KB
up24x9-minmax-gemmlowp-avx-mul16.c 38KB
up16x25-minmax-gemmlowp-avx2-mul32.c 37KB
4x16c2-minmax-gemmlowp-neon-mull-padal-dup.c 37KB
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