| # Copyright 2021 The TensorFlow Authors. All Rights Reserved. |
| # |
| # 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 |
| # |
| # http://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. |
| # ============================================================================== |
| """Tests for array_grad.""" |
| |
| from tensorflow.python.framework import constant_op |
| from tensorflow.python.framework import dtypes |
| from tensorflow.python.framework import test_util |
| from tensorflow.python.ops import array_ops |
| from tensorflow.python.ops import gradient_checker_v2 |
| from tensorflow.python.platform import test |
| |
| |
| @test_util.with_eager_op_as_function |
| @test_util.run_all_in_graph_and_eager_modes |
| class ArrayGradTest(test.TestCase): |
| |
| def _testGrad(self, f, x): |
| max_error = gradient_checker_v2.max_error( |
| *gradient_checker_v2.compute_gradient(f, [x])) |
| self.assertLess(max_error, 1e-4) |
| |
| def test_gather_v2_simple(self): |
| x = constant_op.constant([1., 2., 3., 4., 5.], dtype=dtypes.float64) |
| |
| def f(x): |
| return array_ops.gather_v2( |
| x, constant_op.constant([2, 0, 2, 4], dtype=dtypes.int32)) |
| |
| self._testGrad(f, x) |
| |
| def test_gather_v2_more_index_dims(self): |
| x = constant_op.constant([1., 2., 3., 4., 5.], dtype=dtypes.float64) |
| |
| def f(x): |
| return array_ops.gather_v2( |
| x, constant_op.constant([[2, 0], [2, 4]], dtype=dtypes.int32)) |
| |
| self._testGrad(f, x) |
| |
| def test_gather_v2_more_param_dims(self): |
| x = constant_op.constant([[1., 2.], [3., 4.]], dtype=dtypes.float64) |
| |
| def f(x): |
| return array_ops.gather_v2( |
| x, constant_op.constant([1, 0], dtype=dtypes.int32)) |
| |
| self._testGrad(f, x) |
| |
| def test_gather_v2_axis(self): |
| x = constant_op.constant([[1., 2.], [3., 4.]], dtype=dtypes.float64) |
| |
| def f(x): |
| return array_ops.gather_v2( |
| x, constant_op.constant([1, 0], dtype=dtypes.int32), axis=1) |
| |
| self._testGrad(f, x) |
| |
| def test_gather_v2_batch_dims(self): |
| x = constant_op.constant([[1., 2.], [3., 4.]], dtype=dtypes.float64) |
| |
| def f(x): |
| return array_ops.gather_v2( |
| x, |
| constant_op.constant([[1, 0], [0, 0]], dtype=dtypes.int32), |
| axis=1, |
| batch_dims=1) |
| |
| self._testGrad(f, x) |
| |
| def test_gather_v2_2batch_dims(self): |
| x = constant_op.constant([[[1., 2.], [3., 4.]]], dtype=dtypes.float64) |
| |
| def f(x): |
| return array_ops.gather_v2( |
| x, |
| constant_op.constant([[[1, 0], [0, 0]]], dtype=dtypes.int32), |
| axis=2, |
| batch_dims=2) |
| |
| self._testGrad(f, x) |
| |
| def test_gather_v2_batch_dims_with_axis(self): |
| x = constant_op.constant([[[1., 2.]], [[3., 4.]]], dtype=dtypes.float64) |
| |
| def f(x): |
| return array_ops.gather_v2( |
| x, |
| constant_op.constant([[0], [0]], dtype=dtypes.int32), |
| axis=2, |
| batch_dims=1) |
| |
| self._testGrad(f, x) |
| |
| def test_broadcast_to(self): |
| x = constant_op.constant([1., 2., 3.], dtype=dtypes.float64) |
| y = constant_op.constant([2, 3], dtype=dtypes.int32) |
| |
| def f(x): |
| return array_ops.broadcast_to( |
| x, |
| y) |
| |
| self._testGrad(f, x) |
| |
| def test_broadcast_to_int64(self): |
| x = constant_op.constant([1., 2., 3.], dtype=dtypes.float64) |
| y = constant_op.constant([2, 3], dtype=dtypes.int64) |
| |
| def f(x): |
| return array_ops.broadcast_to( |
| x, |
| y) |
| |
| self._testGrad(f, x) |
| |
| def test_slice_int64(self): |
| x = constant_op.constant([1., 2., 3.], dtype=dtypes.float64) |
| begin = constant_op.constant([1], dtype=dtypes.int64) |
| size = constant_op.constant([1], dtype=dtypes.int64) |
| |
| def f(x): |
| return array_ops.slice(x, begin, size) |
| |
| self._testGrad(f, x) |
| |
| |
| if __name__ == "__main__": |
| test.main() |