Mxnet View the network structure of the model params

Importmxnet as MXImportPDBdefload_checkpoint ():"""Load model checkpoint from file.     :p Aram Prefix:prefix of model name.     :p Aram Epoch:epoch Number of model we would like to load.  : Return: (Arg_params, Aux_params) Arg_params:dict of STR to ndarray Model parameter, dict of the name to Ndarray     of net ' s weights.     Aux_params:dict of STR to ndarray Model parameter, dict of the name to Ndarray of net ' s auxiliary states. """save_dict= Mx.nd.load ('Model-0000.params') Arg_params={} aux_params= {}       forKvinchSave_dict.items (): TP, name= K.split (':', 1)          ifTP = ='Arg': Arg_params[name]=vifTP = ='aux': Aux_params[name]=vreturnArg_params, Aux_paramsdefConvert_context (params, CTX):""":p Aram Params:dict of str to Ndarray:p Aram Ctx:the context to convert to:return:dict of STR of Ndarr Ay with context ctx"""New_params=dict () forKvinchParams.items (): New_params[k]=V.as_in_context (CTX)#Print New_params[0]    returnNew_paramsdefLoad_param (Convert=false, ctx=None):"""wrapper for load checkpoint:p Aram Prefix:prefix of model name.     :p Aram Epoch:epoch Number of model we would like to load. :p Aram Convert:reference model should be converted to GPU Ndarray first:p Aram Ctx:if convert then CTX must be Desig     Nated. : Return: (Arg_params, Aux_params)"""Arg_params, Aux_params=Load_checkpoint ()ifConvert:ifCTx isNone:ctx=mx.cpu () arg_params=Convert_context (Arg_params, CTX) aux_params=Convert_context (Aux_params, CTX)returnArg_params, Aux_paramsif __name__=='__main__': Result=Load_param (); #pdb.set_trace ()        Print 'result is'          #Print Result         forDicinchResult: forKeyinchDIC:Print(Key,dic[key].shape)#print ' One of results is: '        #print result[0][' fc2_weight '].asnumpy ()

Python showmxmodel.py 2>&1 | Tee Log.txt
Result is
(' Stage3_unit2_bn1_beta ', (256L,))
(' Stage3_unit2_bn3_beta ', (256L,))
(' Stage3_unit11_bn1_gamma ', (256L,))
(' Stage3_unit5_bn3_gamma ', (256L,))
(' Stage3_unit3_conv1_weight ', (256L, 256L, 3L, 3L))
(' Stage2_unit1_bn3_gamma ', (128L,))
(' Stage3_unit4_conv1_weight ', (256L, 256L, 3L, 3L))
(' Stage3_unit12_bn3_beta ', (256L,))
(' Stage2_unit2_bn3_beta ', (128L,))
(' Conv0_weight ', (64L, 3L, 3L, 3L))
(' Stage3_unit11_relu1_gamma ', (256L,))
(' Stage4_unit1_conv1sc_weight ', (512L, 256L, 1L, 1L))
(' Stage3_unit1_conv1sc_weight ', (256L, 128L, 1L, 1L))
(' Bn1_beta ', (512L,))
(' Stage1_unit2_bn2_beta ', (64L,))
(' Stage3_unit2_conv2_weight ', (256L, 256L, 3L, 3L))
(' Stage1_unit2_conv1_weight ', (64L, 64L, 3L, 3L))
(' Stage3_unit14_bn2_beta ', (256L,))
(' Stage4_unit2_bn3_beta ', (512L,))
(' Stage3_unit8_bn1_gamma ', (256L,))
(' Stage3_unit7_bn1_gamma ', (256L,))
(' Stage2_unit3_bn1_beta ', (128L,))
(' Stage2_unit4_conv1_weight ', (128L, 128L, 3L, 3L))
(' Stage3_unit2_bn2_gamma ', (256L,))
(' Stage1_unit1_conv1_weight ', (64L, 64L, 3L, 3L))
(' Stage3_unit9_conv2_weight ', (256L, 256L, 3L, 3L))
(' Stage3_unit13_conv1_weight ', (256L, 256L, 3L, 3L))
(' Stage3_unit1_relu1_gamma ', (256L,))
(' Stage4_unit1_bn3_beta ', (512L,))
(' Stage2_unit1_bn2_beta ', (128L,))
(' Stage3_unit14_conv1_weight ', (256L, 256L, 3L, 3L))
(' Stage3_unit8_bn1_beta ', (256L,))
(' Stage3_unit11_conv1_weight ', (256L, 256L, 3L, 3L))
(' Stage1_unit1_bn3_gamma ', (64L,))
(' Stage2_unit2_conv2_weight ', (128L, 128L, 3L, 3L))
(' Stage4_unit2_bn1_gamma ', (512L,))
(' Stage3_unit3_bn1_gamma ', (256L,))
(' Stage1_unit3_bn2_gamma ', (64L,))
(' Stage1_unit3_bn3_gamma ', (64L,))
(' Stage4_unit2_relu1_gamma ', (512L,))
(' Stage3_unit10_conv2_weight ', (256L, 256L, 3L, 3L))
(' Stage3_unit12_conv1_weight ', (256L, 256L, 3L, 3L))
(' Stage3_unit2_relu1_gamma ', (256L,))
(' Stage3_unit10_bn2_beta ', (256L,))
(' Stage2_unit3_bn3_gamma ', (128L,))
(' Stage2_unit3_bn2_beta ', (128L,))
(' Stage3_unit8_bn3_beta ', (256L,))
(' Fc1_gamma ', (512L,))
(' Stage3_unit14_bn3_gamma ', (256L,))
(' Stage3_unit9_bn3_gamma ', (256L,))
(' Stage2_unit3_bn3_beta ', (128L,))
(' Stage3_unit1_sc_gamma ', (256L,))
(' Stage3_unit7_bn1_beta ', (256L,))
(' Stage1_unit2_bn3_beta ', (64L,))
(' Stage3_unit14_relu1_gamma ', (256L,))
(' Stage3_unit13_bn2_beta ', (256L,))
(' Stage2_unit1_conv1sc_weight ', (128L, 64L, 1L, 1L))
(' Bn0_beta ', (64L,))
(' Stage3_unit12_bn1_gamma ', (256L,))
(' Stage2_unit1_sc_gamma ', (128L,))
(' Relu0_gamma ', (64L,))
(' Stage2_unit2_bn2_gamma ', (128L,))
(' Stage3_unit4_relu1_gamma ', (256L,))

Mxnet View the network structure of the model params