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mxnet.gluon.nn.basic_layers.HybridSequential.f4ce7786

mxnet.gluon.nn.basic_layers.HybridSequential.f4ce7786

Visibility: public Uploaded 05-06-2019 by Adrian-Stefan Mares mxnet==1.5.0 numpy>=1.6.1 scipy>=0.9 5 runs
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  • mxnet mxnet_1.5.0 openml-python python
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Automatically created MXNet flow.

Parameters

00_datadefault: {"\"inputs\"": [], "\"name\"": "\"data\"", "\"op\"": "\"null\""}
01_hybridsequential0_batchnorm0_gammadefault: {"\"attrs\"": {"\"__dtype__\"": "\"0\"", "\"__init__\"": "\"ones\"", "\"__lr_mult__\"": "\"1.0\"", "\"__shape__\"": "\"(0,)\"", "\"__storage_type__\"": "\"0\"", "\"__wd_mult__\"": "\"1.0\""}, "\"inputs\"": [], "\"name\"": "\"hybridsequential0_batchnorm0_gamma\"", "\"op\"": "\"null\""}
02_hybridsequential0_batchnorm0_betadefault: {"\"attrs\"": {"\"__dtype__\"": "\"0\"", "\"__init__\"": "\"zeros\"", "\"__lr_mult__\"": "\"1.0\"", "\"__shape__\"": "\"(0,)\"", "\"__storage_type__\"": "\"0\"", "\"__wd_mult__\"": "\"1.0\""}, "\"inputs\"": [], "\"name\"": "\"hybridsequential0_batchnorm0_beta\"", "\"op\"": "\"null\""}
03_hybridsequential0_batchnorm0_running_meandefault: {"\"attrs\"": {"\"__dtype__\"": "\"0\"", "\"__init__\"": "\"zeros\"", "\"__lr_mult__\"": "\"1.0\"", "\"__shape__\"": "\"(0,)\"", "\"__storage_type__\"": "\"0\"", "\"__wd_mult__\"": "\"1.0\""}, "\"inputs\"": [], "\"name\"": "\"hybridsequential0_batchnorm0_running_mean\"", "\"op\"": "\"null\""}
04_hybridsequential0_batchnorm0_running_vardefault: {"\"attrs\"": {"\"__dtype__\"": "\"0\"", "\"__init__\"": "\"ones\"", "\"__lr_mult__\"": "\"1.0\"", "\"__shape__\"": "\"(0,)\"", "\"__storage_type__\"": "\"0\"", "\"__wd_mult__\"": "\"1.0\""}, "\"inputs\"": [], "\"name\"": "\"hybridsequential0_batchnorm0_running_var\"", "\"op\"": "\"null\""}
05_hybridsequential0_batchnorm0_fwddefault: {"\"attrs\"": {"\"axis\"": "\"1\"", "\"eps\"": "\"1e-05\"", "\"fix_gamma\"": "\"False\"", "\"momentum\"": "\"0.9\"", "\"use_global_stats\"": "\"False\""}, "\"inputs\"": [[0, 0, 0], [1, 0, 0], [2, 0, 0], [3, 0, 1], [4, 0, 1]], "\"name\"": "\"hybridsequential0_batchnorm0_fwd\"", "\"op\"": "\"BatchNorm\""}
06_hybridsequential0_dense0_weightdefault: {"\"attrs\"": {"\"__dtype__\"": "\"0\"", "\"__lr_mult__\"": "\"1.0\"", "\"__shape__\"": "\"(1024, 0)\"", "\"__storage_type__\"": "\"0\"", "\"__wd_mult__\"": "\"1.0\""}, "\"inputs\"": [], "\"name\"": "\"hybridsequential0_dense0_weight\"", "\"op\"": "\"null\""}
07_hybridsequential0_dense0_biasdefault: {"\"attrs\"": {"\"__dtype__\"": "\"0\"", "\"__init__\"": "\"zeros\"", "\"__lr_mult__\"": "\"1.0\"", "\"__shape__\"": "\"(1024,)\"", "\"__storage_type__\"": "\"0\"", "\"__wd_mult__\"": "\"1.0\""}, "\"inputs\"": [], "\"name\"": "\"hybridsequential0_dense0_bias\"", "\"op\"": "\"null\""}
08_hybridsequential0_dense0_fwddefault: {"\"attrs\"": {"\"flatten\"": "\"True\"", "\"no_bias\"": "\"False\"", "\"num_hidden\"": "\"1024\""}, "\"inputs\"": [[5, 0, 0], [6, 0, 0], [7, 0, 0]], "\"name\"": "\"hybridsequential0_dense0_fwd\"", "\"op\"": "\"FullyConnected\""}
09_hybridsequential0_dense0_relu_fwddefault: {"\"attrs\"": {"\"act_type\"": "\"relu\""}, "\"inputs\"": [[8, 0, 0]], "\"name\"": "\"hybridsequential0_dense0_relu_fwd\"", "\"op\"": "\"Activation\""}
10_hybridsequential0_dropout0_fwddefault: {"\"attrs\"": {"\"axes\"": "\"()\"", "\"cudnn_off\"": "\"False\"", "\"p\"": "\"0.4\""}, "\"inputs\"": [[9, 0, 0]], "\"name\"": "\"hybridsequential0_dropout0_fwd\"", "\"op\"": "\"Dropout\""}
11_hybridsequential0_dense1_weightdefault: {"\"attrs\"": {"\"__dtype__\"": "\"0\"", "\"__lr_mult__\"": "\"1.0\"", "\"__shape__\"": "\"(2, 0)\"", "\"__storage_type__\"": "\"0\"", "\"__wd_mult__\"": "\"1.0\""}, "\"inputs\"": [], "\"name\"": "\"hybridsequential0_dense1_weight\"", "\"op\"": "\"null\""}
12_hybridsequential0_dense1_biasdefault: {"\"attrs\"": {"\"__dtype__\"": "\"0\"", "\"__init__\"": "\"zeros\"", "\"__lr_mult__\"": "\"1.0\"", "\"__shape__\"": "\"(2,)\"", "\"__storage_type__\"": "\"0\"", "\"__wd_mult__\"": "\"1.0\""}, "\"inputs\"": [], "\"name\"": "\"hybridsequential0_dense1_bias\"", "\"op\"": "\"null\""}
13_hybridsequential0_dense1_fwddefault: {"\"attrs\"": {"\"flatten\"": "\"True\"", "\"no_bias\"": "\"False\"", "\"num_hidden\"": "\"2\""}, "\"inputs\"": [[10, 0, 0], [11, 0, 0], [12, 0, 0]], "\"name\"": "\"hybridsequential0_dense1_fwd\"", "\"op\"": "\"FullyConnected\""}
miscdefault: {"\"arg_nodes\"": [0, 1, 2, 3, 4, 6, 7, 11, 12], "\"attrs\"": {"\"mxnet_version\"": ["\"int\"", 10500]}, "\"heads\"": [[13, 0, 0]], "\"node_row_ptr\"": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 14, 15, 16, 17]}

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