Comments (1)
awesome! let me rerun theano benchmarks now!
from convnet-benchmarks.
Related Issues (20)
- CPU Convnet Benchmarks: Caffe vs. Torch Discrepancies (20x) on Jetson TX1 A57 CPU HOT 7
- CuDNN[R4]-fp16 (Torch) results
- Torch 7 HOT 5
- After FFT & Winograd, what next? HOT 3
- Number of kernels in alexnet_benmark HOT 1
- Use Tensorflow benchmark without GPU HOT 1
- Problem running on older GPUs HOT 2
- Add PyTorch Benchmarks HOT 5
- Enable XLA support for Tensorflow HOT 2
- Tensorflow benchmarks cause error when running run_forward_backward HOT 1
- Updating benchmarks for recent cuDNN v6 HOT 1
- Tesla GV100 results? HOT 1
- Issue running tf_cnn_benchmark on Xeon Phi
- Amd Vega results with MIOpen?
- Cudnn 7 support?
- Tensorflow benchmark files not updated after migration?
- this project has stop update?
- worse chainer convnet-benchmarks performance on cupy-2.0.0 as compared to cupy-1.0.0.1 HOT 2
- cltorch googlenet.lua: attempt to index global 'cudnn' (a nil value)
- convnet-benchmark is not working with tensorflow 1.8 on AMD or Nvidia cards HOT 2
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from convnet-benchmarks.