| 00_data | | default: {"inputs": [], "name": "data", "op": "null"} |
| 01_hybridsequential0_batchnorm0_gamma | | default: {"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_beta | | default: {"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_mean | | default: {"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_var | | default: {"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_fwd | | default: {"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_weight | | default: {"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_bias | | default: {"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_fwd | | default: {"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_fwd | | default: {"attrs": {"act_type": "relu"}, "inputs": [[8, 0, 0]], "name": "hybridsequential0_dense0_relu_fwd", "op": "Activation"} |
| 10_hybridsequential0_dropout0_fwd | | default: {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[9, 0, 0]], "name": "hybridsequential0_dropout0_fwd", "op": "Dropout"} |
| 11_hybridsequential0_dense1_weight | | default: {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(512, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_weight", "op": "null"} |
| 12_hybridsequential0_dense1_bias | | default: {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(512,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_bias", "op": "null"} |
| 13_hybridsequential0_dense1_fwd | | default: {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "512"}, "inputs": [[10, 0, 0], [11, 0, 0], [12, 0, 0]], "name": "hybridsequential0_dense1_fwd", "op": "FullyConnected"} |
| 14_hybridsequential0_dense1_relu_fwd | | default: {"attrs": {"act_type": "relu"}, "inputs": [[13, 0, 0]], "name": "hybridsequential0_dense1_relu_fwd", "op": "Activation"} |
| 15_hybridsequential0_dropout1_fwd | | default: {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[14, 0, 0]], "name": "hybridsequential0_dropout1_fwd", "op": "Dropout"} |
| 16_hybridsequential0_dense2_weight | | default: {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(256, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense2_weight", "op": "null"} |
| 17_hybridsequential0_dense2_bias | | default: {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(256,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense2_bias", "op": "null"} |
| 18_hybridsequential0_dense2_fwd | | default: {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "256"}, "inputs": [[15, 0, 0], [16, 0, 0], [17, 0, 0]], "name": "hybridsequential0_dense2_fwd", "op": "FullyConnected"} |
| 19_hybridsequential0_dense2_relu_fwd | | default: {"attrs": {"act_type": "relu"}, "inputs": [[18, 0, 0]], "name": "hybridsequential0_dense2_relu_fwd", "op": "Activation"} |
| 20_hybridsequential0_dropout2_fwd | | default: {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[19, 0, 0]], "name": "hybridsequential0_dropout2_fwd", "op": "Dropout"} |
| 21_hybridsequential0_dense3_weight | | default: {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(128, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense3_weight", "op": "null"} |
| 22_hybridsequential0_dense3_bias | | default: {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(128,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense3_bias", "op": "null"} |
| 23_hybridsequential0_dense3_fwd | | default: {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "128"}, "inputs": [[20, 0, 0], [21, 0, 0], [22, 0, 0]], "name": "hybridsequential0_dense3_fwd", "op": "FullyConnected"} |
| 24_hybridsequential0_dense3_relu_fwd | | default: {"attrs": {"act_type": "relu"}, "inputs": [[23, 0, 0]], "name": "hybridsequential0_dense3_relu_fwd", "op": "Activation"} |
| 25_hybridsequential0_dropout3_fwd | | default: {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[24, 0, 0]], "name": "hybridsequential0_dropout3_fwd", "op": "Dropout"} |
| 26_hybridsequential0_dense4_weight | | default: {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(64, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense4_weight", "op": "null"} |
| 27_hybridsequential0_dense4_bias | | default: {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(64,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense4_bias", "op": "null"} |
| 28_hybridsequential0_dense4_fwd | | default: {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "64"}, "inputs": [[25, 0, 0], [26, 0, 0], [27, 0, 0]], "name": "hybridsequential0_dense4_fwd", "op": "FullyConnected"} |
| 29_hybridsequential0_dense4_relu_fwd | | default: {"attrs": {"act_type": "relu"}, "inputs": [[28, 0, 0]], "name": "hybridsequential0_dense4_relu_fwd", "op": "Activation"} |
| 30_hybridsequential0_dropout4_fwd | | default: {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.4"}, "inputs": [[29, 0, 0]], "name": "hybridsequential0_dropout4_fwd", "op": "Dropout"} |
| 31_hybridsequential0_dense5_weight | | default: {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(1, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense5_weight", "op": "null"} |
| 32_hybridsequential0_dense5_bias | | default: {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(1,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense5_bias", "op": "null"} |
| 33_hybridsequential0_dense5_fwd | | default: {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "1"}, "inputs": [[30, 0, 0], [31, 0, 0], [32, 0, 0]], "name": "hybridsequential0_dense5_fwd", "op": "FullyConnected"} |
| 34_hybridsequential0_dense5_relu_fwd | | default: {"attrs": {"act_type": "relu"}, "inputs": [[33, 0, 0]], "name": "hybridsequential0_dense5_relu_fwd", "op": "Activation"} |
| misc | | default: {"arg_nodes": [0, 1, 2, 3, 4, 6, 7, 11, 12, 16, 17, 21, 22, 26, 27, 31, 32], "attrs": {"mxnet_version": ["int", 10500]}, "heads": [[34, 0, 0]], "node_row_ptr": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42]} |