Automated Code Change

tensorflow_graphics/geometry/representation/grid.py

@@ -17,7 +17,7 @@
 from __future__ import division
 from __future__ import print_function
 
-from six.moves import zip
+from six.moves import zip  # pyrefly: ignore[missing-source-for-stubs]
 import tensorflow as tf
 
 from tensorflow_graphics.util import export_api
@@ -98,7 +98,7 @@ def generate(starts, stops, nums, name="grid_generate"):
     axis and from -2.0 to 2.0 with 5 subdivisions for the y axis. This lead to a
     tensor of shape (3, 5, 2).
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     starts = tf.convert_to_tensor(value=starts)
     stops = tf.convert_to_tensor(value=stops)
     nums = tf.convert_to_tensor(value=nums)

tensorflow_graphics/geometry/representation/point.py

@@ -55,7 +55,7 @@ def distance_to_ray(point: type_alias.TensorLike,
     ValueError: If the shape of `point`, `origin`, or 'direction' is not
     supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     point = tf.convert_to_tensor(value=point)
     origin = tf.convert_to_tensor(value=origin)
     direction = tf.convert_to_tensor(value=direction)
@@ -99,7 +99,7 @@ def project_to_ray(point: type_alias.TensorLike,
     ValueError: If the shape of `point`, `origin`, or 'direction' is not
     supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     point = tf.convert_to_tensor(value=point)
     origin = tf.convert_to_tensor(value=origin)
     direction = tf.convert_to_tensor(value=direction)

tensorflow_graphics/geometry/representation/ray.py

@@ -18,7 +18,7 @@
 from __future__ import print_function
 
 from typing import Tuple, Union
-from six.moves import range
+from six.moves import range  # pyrefly: ignore[missing-source-for-stubs]
 import tensorflow as tf
 
 from tensorflow_graphics.math import sampling
@@ -92,7 +92,7 @@ def sample_1d(
     A tensor of shape `[A1, ..., An, M, 3]` indicating the M points on the ray
       and a tensor of shape `[A1, ..., An, M]` for the Z values on the points.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     ray_org = tf.convert_to_tensor(ray_org)
     ray_dir = tf.convert_to_tensor(ray_dir)
     near = tf.convert_to_tensor(near) * tf.ones((1,))
@@ -145,7 +145,7 @@ def sample_1d(
     else:
       strategy_method = None
 
-    random_z_values = strategy_method(near, far, n_samples)
+    random_z_values = strategy_method(near, far, n_samples)  # pyrefly: ignore[not-callable]
     points3d = _points_from_z_values(ray_org, ray_dir, random_z_values)
     return points3d, random_z_values
 
@@ -175,7 +175,7 @@ def sample_stratified_1d(
     A tensor of shape `[A1, ..., An, M, 3]` indicating the M points on the ray
       and a tensor of shape `[A1, ..., An, M]` for the Z values on the points.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     ray_org = tf.convert_to_tensor(ray_org)
     ray_dir = tf.convert_to_tensor(ray_dir)
     near = tf.convert_to_tensor(near) * tf.ones((1,))
@@ -245,7 +245,7 @@ def sample_inverse_transform_stratified_1d(
     A tensor of shape `[A1, ..., An, M, 3]` indicating the M points on the ray
       and a tensor of shape `[A1, ..., An, M]` for the Z values on the points.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     shape.check_static(
         tensor=ray_org,
         tensor_name="ray_org",
@@ -312,7 +312,7 @@ def triangulate(startpoints, endpoints, weights, name="ray_triangulate"):
   Raises:
     ValueError: If the shape of the arguments is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     startpoints = tf.convert_to_tensor(value=startpoints)
     endpoints = tf.convert_to_tensor(value=endpoints)
     weights = tf.convert_to_tensor(value=weights)
@@ -403,7 +403,7 @@ def intersection_ray_sphere(sphere_center,
       `point_on_ray` is not supported.
     tf.errors.InvalidArgumentError: If `ray` is not normalized.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     sphere_center = tf.convert_to_tensor(value=sphere_center)
     sphere_radius = tf.convert_to_tensor(value=sphere_radius)
     ray = tf.convert_to_tensor(value=ray)

tensorflow_graphics/geometry/representation/triangle.py

@@ -57,7 +57,7 @@ def normal(v0: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of `v0`, `v1`, or `v2` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     v0 = tf.convert_to_tensor(value=v0)
     v1 = tf.convert_to_tensor(value=v1)
     v2 = tf.convert_to_tensor(value=v2)
@@ -104,7 +104,7 @@ def area(v0: type_alias.TensorLike,
     A tensor of shape `[A1, ..., An, 1]`, where the last dimension represents
       a normalized vector.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     v0 = tf.convert_to_tensor(value=v0)
     v1 = tf.convert_to_tensor(value=v1)
     v2 = tf.convert_to_tensor(value=v2)

tensorflow_graphics/geometry/transformation/axis_angle.py

@@ -73,7 +73,7 @@ def from_euler(angles: type_alias.TensorLike,
     `[A1, ..., An, 1]`, where the first tensor represents the axis, and the
     second represents the angle. The resulting axis is a normalized vector.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     quaternion = quaternion_lib.from_euler(angles)
     return from_quaternion(quaternion)
 
@@ -109,7 +109,7 @@ def from_euler_with_small_angles_approximation(
     `[A1, ..., An, 1]`, where the first tensor represents the axis, and the
     second represents the angle. The resulting axis is a normalized vector.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     quaternion = quaternion_lib.from_euler_with_small_angles_approximation(
         angles)
     return from_quaternion(quaternion)
@@ -136,7 +136,7 @@ def from_quaternion(quaternion: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of `quaternion` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     quaternion = tf.convert_to_tensor(value=quaternion)
 
     shape.check_static(
@@ -180,7 +180,7 @@ def from_rotation_matrix(rotation_matrix: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of `rotation_matrix` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     rotation_matrix = tf.convert_to_tensor(value=rotation_matrix)
 
     shape.check_static(
@@ -218,7 +218,7 @@ def inverse(axis: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of `axis` or `angle` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     axis = tf.convert_to_tensor(value=axis)
     angle = tf.convert_to_tensor(value=angle)
 
@@ -256,7 +256,7 @@ def is_normalized(axis: type_alias.TensorLike,
     A tensor of shape `[A1, ..., An, 1]`, where False indicates that the axis is
     not normalized.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     axis = tf.convert_to_tensor(value=axis)
     angle = tf.convert_to_tensor(value=angle)
 
@@ -305,7 +305,7 @@ def rotate(point: type_alias.TensorLike,
     ValueError: If `point`, `axis`, or `angle` are of different shape or if
     their respective shape is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     point = tf.convert_to_tensor(value=point)
     axis = tf.convert_to_tensor(value=axis)
     angle = tf.convert_to_tensor(value=angle)

tensorflow_graphics/geometry/transformation/dual_quaternion.py

@@ -63,7 +63,7 @@ def conjugate(dual_quaternion: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of `dual_quaternion` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     dual_quaternion = tf.convert_to_tensor(value=dual_quaternion)
 
     shape.check_static(
@@ -97,7 +97,7 @@ def multiply(dual_quaternion1: type_alias.TensorLike,
   Returns:
     A tensor of shape `[A1, ..., An, 8]` representing dual quaternions.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     dual_quaternion1 = tf.convert_to_tensor(value=dual_quaternion1)
     dual_quaternion2 = tf.convert_to_tensor(value=dual_quaternion2)
 
@@ -144,7 +144,7 @@ def inverse(dual_quaternion: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of `dual quaternion` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     dual_quaternion = tf.convert_to_tensor(value=dual_quaternion)
 
     shape.check_static(
@@ -193,7 +193,7 @@ def norm(dual_quaternion: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of `dual quaternion` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     dual_quaternion = tf.convert_to_tensor(value=dual_quaternion)
 
     shape.check_static(
@@ -234,7 +234,7 @@ def is_normalized(dual_quaternion: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of `dual_quaternion` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     dual_quaternion = tf.convert_to_tensor(value=dual_quaternion)
 
     shape.check_static(
@@ -278,7 +278,7 @@ def from_rotation_translation(
   Raises:
     ValueError: If the shape of `rotation_matrix` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     rotation_quaternion = tf.convert_to_tensor(value=rotation_quaternion)
     translation_vector = tf.convert_to_tensor(value=translation_vector)
 
@@ -319,7 +319,7 @@ def to_rotation_translation(
     A tuple with a `[A1, ..., An, 4]`-tensor for rotation in quaternion form,
     and a `[A1, ..., An, 3]`-tensor for translation, in that order.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     dual_quaternion = tf.convert_to_tensor(value=dual_quaternion)
 
     shape.check_static(
@@ -362,7 +362,7 @@ def from_axis_angle_translation(axis: type_alias.TensorLike,
     ValueError: If the shape of `axis`, `angle`, or `translation_vector`
     is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     axis = tf.convert_to_tensor(value=axis)
     angle = tf.convert_to_tensor(value=angle)
     translation_vector = tf.convert_to_tensor(value=translation_vector)
@@ -415,7 +415,7 @@ def conjugate_dual(
   Raises:
     ValueError: If the shape of `dual_quaternion` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     dual_quaternion = tf.convert_to_tensor(value=dual_quaternion)
 
     shape.check_static(
@@ -442,7 +442,7 @@ def point_to_dual_quaternion(
   Returns:
     The dual quaternion representation of `point`.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     point = tf.convert_to_tensor(value=point)
 
     shape.check_static(

tensorflow_graphics/geometry/transformation/euler.py

@@ -60,7 +60,7 @@ def from_axis_angle(axis: type_alias.TensorLike,
     A tensor of shape `[A1, ..., An, 3]`, where the last dimension represents
     the three Euler angles.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     return from_quaternion(quaternion.from_axis_angle(axis, angle))
 
 
@@ -98,7 +98,7 @@ def gimbal_lock(r01, r02, r20, eps_addition):
     angles = tf.stack((theta_x, theta_y, theta_z), axis=-1)
     return angles
 
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     quaternions = tf.convert_to_tensor(value=quaternions)
 
     shape.check_static(
@@ -193,7 +193,7 @@ def gimbal_lock(rotation_matrix, r20, eps_addition):
     angles = tf.stack((theta_x, theta_y, theta_z), axis=-1)
     return angles
 
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     rotation_matrix = tf.convert_to_tensor(value=rotation_matrix)
 
     shape.check_static(
@@ -232,7 +232,7 @@ def inverse(euler_angle: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of `euler_angle` is not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     euler_angle = tf.convert_to_tensor(value=euler_angle)
 
     shape.check_static(

tensorflow_graphics/geometry/transformation/linear_blend_skinning.py

@@ -56,7 +56,7 @@ def blend(points: type_alias.TensorLike,
   Raises:
     ValueError: If the shape of the input tensors are not supported.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     points = tf.convert_to_tensor(value=points)
     skinning_weights = tf.convert_to_tensor(value=skinning_weights)
     bone_rotations = tf.convert_to_tensor(value=bone_rotations)

tensorflow_graphics/geometry/transformation/look_at.py

@@ -50,7 +50,7 @@ def right_handed(camera_position: type_alias.TensorLike,
     A tensor of shape `[A1, ..., An, 4, 4]`, containing right handed look at
     matrices.
   """
-  with tf.name_scope(name):
+  with tf.name_scope(name):  # pyrefly: ignore[bad-instantiation]
     camera_position = tf.convert_to_tensor(value=camera_position)
     look_at = tf.convert_to_tensor(value=look_at)
     up_vector = tf.convert_to_tensor(value=up_vector)