Closed LiFXe closed 3 years ago
Hi, it seems that the beta version of mxnet is removed on pip.
Instead, you can find a related version on https://repo.mxnet.io/dist/index.html (as the API of beta version is not stable, please download the version with the nearest built date to 20190108).
谢谢,请问cuda与cudnn版本是?现在会报错
Successfully loading the model st-metanet [epoch: 131]
seq2seq_ (
Parameter seq2seq_encoder_c0_gru0_i2h_weight (shape=(192, 3), dtype=<class 'numpy.float32'>)
Parameter seq2seq_encoder_c0_gru0_h2h_weight (shape=(192, 64), dtype=<class 'numpy.float32'>)
Parameter seq2seq_encoder_c0_gru0_i2h_bias (shape=(192,), dtype=<class 'numpy.float32'>)
Parameter seq2seq_encoder_c0_gru0_h2h_bias (shape=(192,), dtype=<class 'numpy.float32'>)
Parameter seq2seq_encoder_c1_dense_z_w_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_w_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_w_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_w_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_w_dense2_weight (shape=(8192, 2), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_w_dense2_bias (shape=(8192,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_b_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_b_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_b_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_b_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_b_dense2_weight (shape=(1, 2), dtype=float32)
Parameter seq2seq_encoder_c1_dense_z_b_dense2_bias (shape=(1,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_w_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_w_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_w_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_w_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_w_dense2_weight (shape=(8192, 2), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_w_dense2_bias (shape=(8192,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_b_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_b_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_b_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_b_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_b_dense2_weight (shape=(1, 2), dtype=float32)
Parameter seq2seq_encoder_c1_dense_r_b_dense2_bias (shape=(1,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_w_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_w_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_w_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_w_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_w_dense2_weight (shape=(4096, 2), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_w_dense2_bias (shape=(4096,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_b_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_b_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_b_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_b_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_b_dense2_weight (shape=(1, 2), dtype=float32)
Parameter seq2seq_encoder_c1_dense_i2h_b_dense2_bias (shape=(1,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_w_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_w_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_w_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_w_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_w_dense2_weight (shape=(4096, 2), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_w_dense2_bias (shape=(4096,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_b_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_b_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_b_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_b_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_b_dense2_weight (shape=(1, 2), dtype=float32)
Parameter seq2seq_encoder_c1_dense_h2h_b_dense2_bias (shape=(1,), dtype=float32)
Parameter seq2seq_encoder_g0_graph_weight (shape=(1, 1), dtype=<class 'numpy.float32'>)
Parameter seq2seq_encoder_g0_graph_mlp0_dense0_weight (shape=(16, 96), dtype=float32)
Parameter seq2seq_encoder_g0_graph_mlp0_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_encoder_g0_graph_mlp0_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_encoder_g0_graph_mlp0_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_encoder_g0_graph_mlp0_dense2_weight (shape=(8192, 2), dtype=float32)
Parameter seq2seq_encoder_g0_graph_mlp0_dense2_bias (shape=(8192,), dtype=float32)
Parameter seq2seq_decoder_c0_gru0_i2h_weight (shape=(192, 3), dtype=<class 'numpy.float32'>)
Parameter seq2seq_decoder_c0_gru0_h2h_weight (shape=(192, 64), dtype=<class 'numpy.float32'>)
Parameter seq2seq_decoder_c0_gru0_i2h_bias (shape=(192,), dtype=<class 'numpy.float32'>)
Parameter seq2seq_decoder_c0_gru0_h2h_bias (shape=(192,), dtype=<class 'numpy.float32'>)
Parameter seq2seq_decoder_c1_dense_z_w_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_w_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_w_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_w_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_w_dense2_weight (shape=(8192, 2), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_w_dense2_bias (shape=(8192,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_b_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_b_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_b_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_b_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_b_dense2_weight (shape=(1, 2), dtype=float32)
Parameter seq2seq_decoder_c1_dense_z_b_dense2_bias (shape=(1,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_w_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_w_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_w_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_w_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_w_dense2_weight (shape=(8192, 2), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_w_dense2_bias (shape=(8192,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_b_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_b_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_b_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_b_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_b_dense2_weight (shape=(1, 2), dtype=float32)
Parameter seq2seq_decoder_c1_dense_r_b_dense2_bias (shape=(1,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_w_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_w_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_w_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_w_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_w_dense2_weight (shape=(4096, 2), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_w_dense2_bias (shape=(4096,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_b_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_b_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_b_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_b_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_b_dense2_weight (shape=(1, 2), dtype=float32)
Parameter seq2seq_decoder_c1_dense_i2h_b_dense2_bias (shape=(1,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_w_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_w_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_w_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_w_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_w_dense2_weight (shape=(4096, 2), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_w_dense2_bias (shape=(4096,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_b_dense0_weight (shape=(16, 32), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_b_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_b_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_b_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_b_dense2_weight (shape=(1, 2), dtype=float32)
Parameter seq2seq_decoder_c1_dense_h2h_b_dense2_bias (shape=(1,), dtype=float32)
Parameter seq2seq_decoder_g0_graph_weight (shape=(1, 1), dtype=<class 'numpy.float32'>)
Parameter seq2seq_decoder_g0_graph_mlp0_dense0_weight (shape=(16, 96), dtype=float32)
Parameter seq2seq_decoder_g0_graph_mlp0_dense0_bias (shape=(16,), dtype=float32)
Parameter seq2seq_decoder_g0_graph_mlp0_dense1_weight (shape=(2, 16), dtype=float32)
Parameter seq2seq_decoder_g0_graph_mlp0_dense1_bias (shape=(2,), dtype=float32)
Parameter seq2seq_decoder_g0_graph_mlp0_dense2_weight (shape=(8192, 2), dtype=float32)
Parameter seq2seq_decoder_g0_graph_mlp0_dense2_bias (shape=(8192,), dtype=float32)
Parameter decoder0_proj_weight (shape=(2, 96), dtype=float32)
Parameter decoder0_proj_bias (shape=(2,), dtype=float32)
Parameter geo_encoder_dense0_weight (shape=(32, 989), dtype=float32)
Parameter geo_encoder_dense0_bias (shape=(32,), dtype=float32)
Parameter geo_encoder_dense1_weight (shape=(32, 32), dtype=float32)
Parameter geo_encoder_dense1_bias (shape=(32,), dtype=float32)
)
NUMBER OF PARAMS: 268224
INFO:root:Processing 1000 timestamps
INFO:root:Processing 2000 timestamps
INFO:root:shape of feature: (2266, 1024, 989)
INFO:root:shape of data: (2266, 12, 1024, 3)
INFO:root:shape of label: (2266, 3, 1024, 3)
INFO:root:Processing 0 timestamps
INFO:root:shape of feature: (346, 1024, 989)
INFO:root:shape of data: (346, 12, 1024, 3)
INFO:root:shape of label: (346, 3, 1024, 3)
INFO:root:Processing 0 timestamps
INFO:root:shape of feature: (306, 1024, 989)
INFO:root:shape of data: (306, 12, 1024, 3)
INFO:root:shape of label: (306, 3, 1024, 3)
Traceback (most recent call last):
File "train.py", line 172, in
Stack trace returned 10 entries:
[bt] (0) /home/lfx19/anaconda3/envs/stmetanet_lfx/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x40585a) [0x7f270f00f85a]
[bt] (1) /home/lfx19/anaconda3/envs/stmetanet_lfx/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x405e71) [0x7f270f00fe71]
[bt] (2) /home/lfx19/anaconda3/envs/stmetanet_lfx/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x3557f7b) [0x7f2712161f7b]
[bt] (3) /home/lfx19/anaconda3/envs/stmetanet_lfx/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x37a637f) [0x7f27123b037f]
[bt] (4) /home/lfx19/anaconda3/envs/stmetanet_lfx/lib/python3.5/site-packages/mxnet/libmxnet.so(+0x37ab979) [0x7f27123b5979]
[bt] (5) /home/lfx19/anaconda3/envs/stmetanet_lfx/lib/python3.5/site-packages/mxnet/libmxnet.so(mxnet::imperative::PushFCompute(std::function<void (nnvm::NodeAttrs const&, mxnet::OpContext const&, std::vector<mxnet::TBlob, std::allocator
非常感谢!另现在又遇新的报错,希望能得到您的指点,谢谢🙏
您好。pip上现在看不到过去版本的mxnet了。https://dist.mxnet.io/python/cu90
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cuda与cudnn版本没有特别的要求,只要cuda版本和mxnet-cu的版本匹配,cudnn版本与cuda版本匹配即可。
作者您好,请问如何装此版本?pip命令报错找不到此版本。期待您的回复,提前感谢!