dnn.h | 201 // This is a matrix (height, width), its "depth" (feature_map_count), 220 // dimensions height, width and feature_map_count, where for an image, the 222 // the feature_map_count corresponds to the RGB dimension of the input data. 228 // the feature_map_count, and leave the height and weight as degenerate (== 1). 259 int64 feature_map_count() const { return tensor_.dimensions(1); } function in class:stream_executor::dnn::BatchDescriptor 341 // dimensions, except possibly for feature_map_count(), though this [all...] |