integrations/tensorflow/e2e/scatter_update_test.py

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import numpy as np
from pyiree.tf.support import tf_test_utils
import tensorflow.compat.v2 as tf
"""Test scatter update behavior for tensorflow."""


class ScatterUpdateModule(tf.Module):

  def __init__(self):
    pass

  @tf.function(input_signature=[
      tf.TensorSpec([8], tf.int32),
      tf.TensorSpec([3, 1], tf.int32),
      tf.TensorSpec([3], tf.int32)
  ])
  def scatter_update_1D(self, tensor, indices, updates):
    return tf.tensor_scatter_nd_update(tensor, indices, updates)

  @tf.function(input_signature=[
      tf.TensorSpec([4, 3], tf.int32),
      tf.TensorSpec([3, 2], tf.int32),
      tf.TensorSpec([3], tf.int32)
  ])
  def scatter_update_2D(self, tensor, indices, updates):
    return tf.tensor_scatter_nd_update(tensor, indices, updates)

  @tf.function(input_signature=[
      tf.TensorSpec([4, 3], tf.int32),
      tf.TensorSpec([1, 1], tf.int32),
      tf.TensorSpec([1, 3], tf.int32)
  ])
  def scatter_update_2D_slice(self, tensor, indices, updates):
    return tf.tensor_scatter_nd_update(tensor, indices, updates)


@tf_test_utils.compile_module(ScatterUpdateModule)
class ScatterUpdateTest(tf_test_utils.SavedModelTestCase):

  def test_scatter_update_1D(self):
    tensor = tf.ones([8], dtype=tf.int32)
    indices = tf.constant([[4], [5], [6]])
    updates = tf.constant([9, 10, 11])
    result = self.get_module().scatter_update_1D(tensor, indices, updates)
    result.assert_all_close()

  def test_scatter_update_2D(self):
    tensor = tf.ones([4, 3], dtype=tf.int32)
    indices = tf.constant([[1, 0], [2, 1], [3, 2]])
    updates = tf.constant([2, 5, 8])
    result = self.get_module().scatter_update_2D(tensor, indices, updates)
    result.assert_all_close()

  def test_scatter_update_2D_slice(self):
    tensor = tf.ones([4, 3], dtype=tf.int32)
    indices = tf.constant([[1]])
    updates = tf.constant([[2, 3, 4]])
    result = self.get_module().scatter_update_2D_slice(
        tensor, indices, updates)
    result.assert_all_close()


if __name__ == "__main__":
  if hasattr(tf, "enable_v2_behavior"):
    tf.enable_v2_behavior()
  tf.test.main()