Function block_layer

Creates one layer of blocks for the ResNet model. Args: inputs: A tensor of size [batch, channels, height_in, width_in] or [batch, height_in, width_in, channels] depending on data_format. filters: The number of filters for the first convolution of the layer. bottleneck: Is the b

(inputs, filters, bottleneck, block_fn, blocks, strides,
                training, name, data_format)