LostTech.TensorFlow : API Documentation

Type resnet_utils

Namespace tensorflow.contrib.slim.python.slim.nets.resnet_utils

Methods

Properties

Public static methods

object conv2d_same(IEnumerable<IGraphNodeBase> inputs, int num_outputs, int kernel_size, int stride, int rate, string scope)

object conv2d_same(ValueTuple<PythonClassContainer, PythonClassContainer> inputs, int num_outputs, int kernel_size, int stride, int rate, string scope)

object conv2d_same(IndexedSlices inputs, int num_outputs, int kernel_size, int stride, int rate, string scope)

object conv2d_same(IGraphNodeBase inputs, int num_outputs, int kernel_size, int stride, int rate, string scope)

object conv2d_same_dyn(object inputs, object num_outputs, object kernel_size, object stride, ImplicitContainer<T> rate, object scope)

object resnet_arg_scope(double weight_decay, double batch_norm_decay, double batch_norm_epsilon, bool batch_norm_scale)

object resnet_arg_scope_dyn(ImplicitContainer<T> weight_decay, ImplicitContainer<T> batch_norm_decay, ImplicitContainer<T> batch_norm_epsilon, ImplicitContainer<T> batch_norm_scale)

Tensor stack_blocks_dense(IGraphNodeBase net, IEnumerable<Block> blocks, Nullable<int> output_stride, object outputs_collections)

object stack_blocks_dense_dyn(object net, object blocks, object output_stride, object outputs_collections)

Tensor subsample(IGraphNodeBase inputs, int factor, string scope)

object subsample_dyn(object inputs, object factor, object scope)

Public properties

PythonFunctionContainer Block_fn get;

PythonFunctionContainer conv2d_same_fn get;

PythonFunctionContainer resnet_arg_scope_fn get;

PythonFunctionContainer stack_blocks_dense_fn get;

PythonFunctionContainer subsample_fn get;