8aaabd6dfcd2f4ae5618ef08657bbba82e8bd69f,mesh_renderer/rasterize_triangles.py,,rasterize_clip_space,#Any#Any#Any#Any#Any#Any#,69

Before Change

  vertex_count = clip_space_vertices.shape[1].value

  per_image_barycentric_coordinates = []
  per_image_vertex_ids = []
  for im in range(clip_space_vertices.shape[0]):
    barycentric_coords, triangle_ids, _ = (
        rasterize_triangles_module.rasterize_triangles(
            clip_space_vertices[im, :, :], triangles, image_width,
            image_height))
    per_image_barycentric_coordinates.append(
        tf.reshape(barycentric_coords, [-1, 3]))

    // Gathers the vertex indices now because the indices don"t contain a batch
    // identifier, and reindexes the vertex ids to point to a (batch,vertex_id)
    vertex_ids = tf.gather(triangles, tf.reshape(triangle_ids, [-1]))
    reindexed_ids = tf.add(vertex_ids, im * clip_space_vertices.shape[1].value)
    per_image_vertex_ids.append(reindexed_ids)

  barycentric_coordinates = tf.concat(per_image_barycentric_coordinates, axis=0)
  vertex_ids = tf.concat(per_image_vertex_ids, axis=0)

  // Indexes with each pixel"s clip-space triangle"s extrema (the pixel"s

After Change

  b = tf.placeholder_with_default(0, shape=[])
  _, per_image_barycentric_coordinates, per_image_vertex_ids = tf.while_loop(condition, iteration, [b, per_image_barycentric_coordinates, per_image_vertex_ids])

  barycentric_coordinates = tf.reshape(per_image_barycentric_coordinates.stack(), [-1, 3])
  vertex_ids = tf.reshape(per_image_vertex_ids.stack(), [-1, 3])

  // Indexes with each pixel"s clip-space triangle"s extrema (the pixel"s
  // "corner points") ids to get the relevant properties for deferred shading.

Instances