Test environment

[immonomono]

Hello,

Can you let me know the test environment?

I've test with Ubuntu 18.04, chainer 1.24, Cuda 10.0 and cudnn 7.4.2.24 But the following problem occurred

+------------------------------+ | Sound classification +------------------------------+ | dataset : esc50 | netType : envnet | learning : standard | augment : False | nEpochs : 600 | LRInit : 0.01 | schedule : [0.5, 0.75] | warmup : 0 | batchSize: 64 +------------------------------+ /home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/chainer/cuda.py:92: UserWarning: cuDNN is not enabled. Please reinstall chainer after you install cudnn (see https://github.com/pfnet/chainer#installation). 'cuDNN is not enabled.\n' +-- Split 1 --+ Traceback (most recent call last): File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/cupy/cuda/compiler.py", line 49, in _run_nvcc return subprocess.check_output(cmd, cwd=cwd, stderr=subprocess.STDOUT) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/subprocess.py", line 316, in check_output **kwargs).stdout File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/subprocess.py", line 398, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['nvcc', '--cubin', '-arch', 'sm_61', '/tmp/tmpj3ibf3vg/kern.cu']' returned non-zero exit status 1

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "main.py", line 56, in main() File "main.py", line 22, in main train(opt, split) File "main.py", line 42, in train train_loss, train_top1 = trainer.train(epoch) File "/home/mono/dev/voice/recognition/bc_learning_sound/train.py", line 30, in train y = self.model(x) File "/home/mono/dev/voice/recognition/bc_learning_sound/models/envnet.py", line 28, in call h = self.conv1(x, self.train) File "/home/mono/dev/voice/recognition/bc_learning_sound/models/convbnrelu.py", line 16, in call h = self.conv(x) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/chainer/links/connection/convolution_2d.py", line 109, in call deterministic=self.deterministic) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/chainer/functions/connection/convolution_2d.py", line 415, in convolution_2d return func(x, W) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/chainer/function.py", line 199, in call outputs = self.forward(in_data) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/chainer/function.py", line 310, in forward return self.forward_gpu(inputs) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/chainer/functions/connection/convolution_2d.py", line 155, in forward_gpu cover_all=self.cover_all) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/chainer/utils/conv.py", line 74, in im2col_gpu h, w, out_h, out_w, kh, kw, sy, sx, ph, pw, dy, dx, col) File "cupy/core/elementwise.pxi", line 552, in cupy.core.core.ElementwiseKernel.call (cupy/core/core.cpp:43113) File "cupy/util.pyx", line 39, in cupy.util.memoize.decorator.ret (cupy/util.cpp:1480) File "cupy/core/elementwise.pxi", line 409, in cupy.core.core._get_elementwise_kernel (cupy/core/core.cpp:41459) File "cupy/core/elementwise.pxi", line 12, in cupy.core.core._get_simple_elementwise_kernel (cupy/core/core.cpp:34090) File "cupy/core/elementwise.pxi", line 32, in cupy.core.core._get_simple_elementwise_kernel (cupy/core/core.cpp:33912) File "cupy/core/carray.pxi", line 86, in cupy.core.core.compile_with_cache (cupy/core/core.cpp:33567) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/cupy/cuda/compiler.py", line 156, in compile_with_cache cubin = nvcc(source, options, arch) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/cupy/cuda/compiler.py", line 78, in nvcc _run_nvcc(cmd, root_dir) File "/home/mono/anaconda3/envs/pytorch/lib/python3.5/site-packages/cupy/cuda/compiler.py", line 56, in _run_nvcc raise RuntimeError(msg) RuntimeError: nvcc command returns non-zero exit status. command: ['nvcc', '--cubin', '-arch', 'sm_61', '/tmp/tmpj3ibf3vg/kern.cu'] return-code: 1 stdout/stderr: b'/tmp/tmpj3ibf3vg/kern.cu(14): error: identifier "__float2half_rn" is undefined\n\n/tmp/tmpj3ibf3vg/kern.cu(17): error: identifier "__float2half_rn" is undefined\n\n/tmp/tmpj3ibf3vg/kern.cu(20): error: identifier "__float2half_rn" is undefined\n\n/tmp/tmpj3ibf3vg/kern.cu(23): error: identifier "__float2half_rn" is undefined\n\n/tmp/tmpj3ibf3vg/kern.cu(26): error: identifier "__float2half_rn" is undefined\n\n/tmp/tmpj3ibf3vg/kern.cu(29): error: identifier "__float2half_rn" is undefined\n\n/tmp/tmpj3ibf3vg/kern.cu(32): error: identifier "__float2half_rn" is undefined\n\n/tmp/tmpj3ibf3vg/kern.cu(35): error: identifier "__half2float" is undefined\n\n8 errors detected in the compilation of "/tmp/tmpxft_0000207a_00000000-6_kern.cpp1.ii".\n'

[q739554534]

My esc 10 result is 20%. How much does your result be?