Fix errors due to API change in Tensorflow 2.20

[ssheorey]

Continued from copilot PR #690

• Fix SharedMLP.call in randlanet.py - make training keyword-only
• Fix LocalSpatialEncoding.call in randlanet.py - make training and relative_features keyword-only
• Fix AttentivePooling.call in randlanet.py - make training keyword-only
• Fix LocalFeatureAggregation.call in randlanet.py - make training keyword-only
• Fix BatchNormBlock.call call sites in network_blocks.py - pass training as keyword
• Fix UnaryBlock.call in network_blocks.py - make batch and training keyword-only
• Fix SimpleBlock.call in network_blocks.py - make batch keyword-only; fix internal training calls
• Fix ResnetBottleneckBlock.call in network_blocks.py - make batch keyword-only; fix all internal training/batch calls
• Fix NearestUpsampleBlock.call in network_blocks.py - make batch keyword-only
• Fix KPFCNN.call in kpconv.py - pass batch as keyword in all block calls; fix head_mlp/head_softmax calls
• Fix PointPillarsScatter.call in point_pillars.py - make batch_size keyword-only; fix call site in extract_feats
• Fix tf_batch_neighbors in kpconv.py - pass radius, points_row_splits, queries_row_splits as keywords to FixedRadiusSearch
• Fix SECONDFPN in point_pillars.py - add Permute layers to convert NCHW↔NHWC around Conv2DTranspose/Conv2D to avoid channels_first unsupported on CPU

[johnnynunez]

LGTM! Good work @ssheorey