| __dir__(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| __getattr__(self, op_type) | caffe2.python.model_helper.ModelHelper | |
| __init__(self, order="NCHW", name=None, use_cudnn=True, cudnn_exhaustive_search=False, ws_nbytes_limit=None, init_params=True, skip_sparse_optim=False, param_model=None) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| __init__(self, name=None, init_params=True, allow_not_known_ops=True, skip_sparse_optim=False, param_model=None, arg_scope=None) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| Accuracy(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| add_param_DEPRECATED(self, param, key=None, shape=None, length=None) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| AddGradientOperators(self, args, kwargs) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| AddParameter(self, param, tags=None) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| AddWeightDecay(self, weight_decay) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| allow_not_known_ops (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| arg_scope(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| AveragePool(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| biases (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| Concat(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| ConstantInit(self, value) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| ConstructInitTrainNetfromNet(self, net) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| Conv(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| ConvNd(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| ConvTranspose(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| CPU(self) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| create_param(self, param_name, shape, initializer, tags=None) | caffe2.python.model_helper.ModelHelper | |
| CreateDB(self, blob_out, db, db_type, kwargs) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| cudnn_exhaustive_search (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| DepthConcat(self, args, kwargs) | caffe2.python.cnn.CNNModelHelper | |
| Dropout(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| FC(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| FC_Decomp(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| FC_Prune(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| FC_Sparse(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| get_name(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| get_param_info(self, param) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| get_param_to_grad(self, params) | caffe2.python.model_helper.ModelHelper | |
| GetAllParams(self, namescope=None) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| GetCompleteNet(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| GetComputedParams(self, namescope=None) | caffe2.python.model_helper.ModelHelper | |
| GetDevices(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| GetOptimizationParamInfo(self, params=None) | caffe2.python.model_helper.ModelHelper | |
| GetParams(self, namescope=None, top_scope=False) | caffe2.python.model_helper.ModelHelper | |
| GPU(self, gpu_id=0) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| grad_map (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| gradient_ops_added (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| GroupConv(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| GroupConv_Deprecated(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| ImageInput(self, blob_in, blob_out, use_gpu_transform=False, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| init_params (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| InitProto(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| InstanceNorm(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| Iter(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| LRN(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| MaxPool(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| MaxPoolWithIndex(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| MSRAInit(self) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| name (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| net (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| order (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| PackedFC(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| PadImage(self, blob_in, blob_out, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| param_init_net (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| param_to_grad (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| params (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| PRelu(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| Proto(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| Relu(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| RunAllOnGPU(self, args, kwargs) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| skip_sparse_optim (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| Softmax(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| SpatialBN(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| SpatialGN(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| Sum(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| TensorProtosDBInput(self, unused_blob_in, blob_out, batch_size, db, db_type, kwargs) | caffe2.python.model_helper.ModelHelper | |
| Transpose(self, args, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| use_cudnn (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| Validate(self) (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| VideoInput(self, blob_in, blob_out, kwargs) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| weights (defined in caffe2.python.model_helper.ModelHelper) | caffe2.python.model_helper.ModelHelper | |
| ws_nbytes_limit (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| XavierInit(self) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
| ZeroInit(self) (defined in caffe2.python.cnn.CNNModelHelper) | caffe2.python.cnn.CNNModelHelper | |
1.8.11
