openvino/model-optimizer/unit_tests/extensions/back/ReduceTransposeDimensions_t...

73 lines
3.0 KiB
Python

# Copyright (C) 2018-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import unittest
from extensions.back.ReduceTransposeDimensions import sequential_dims, merge_permute_order_dimensions, merge_dims
from mo.front.common.partial_infer.utils import int64_array
class SequentialDimsTest(unittest.TestCase):
def test_returns_first_instance(self):
self.assertListEqual(sequential_dims(int64_array([0, 3, 4, 1, 2])), [1, 2])
def test_returns_last_indices(self):
self.assertListEqual(sequential_dims(int64_array([4, 0, 3, 1, 2])), [3, 4])
def test_returns_full_list(self):
self.assertListEqual(sequential_dims(int64_array([0, 1, 2, 3, 4])), [0, 1, 2, 3, 4])
def test_returns_from_the_beginning(self):
self.assertListEqual(sequential_dims(int64_array([1, 2, 3, 0, 4])), [0, 1, 2])
def test_no_sequential_dims(self):
self.assertIsNone(sequential_dims(int64_array([2, 1, 3, 0, 4])))
def test_2d_input_with_sequential_dims(self):
self.assertListEqual(sequential_dims(int64_array([0, 1])), [0, 1])
def test_2d_input_without_sequential_dims(self):
self.assertIsNone(sequential_dims(int64_array([1, 0])))
class MergeTransposeOrderDimensionsTest(unittest.TestCase):
def test_merge_last_dims(self):
self.assertListEqual(list(merge_permute_order_dimensions([1, 2], int64_array([0, 3, 4, 1, 2]))), [0, 3, 1, 2])
def test_merge_last_indices(self):
self.assertListEqual(list(merge_permute_order_dimensions([3, 4], int64_array([0, 3, 4, 1, 2]))), [0, 2, 3, 1])
def test_merge_start_indices(self):
self.assertListEqual(list(merge_permute_order_dimensions([0, 1], int64_array([1, 2, 4, 3, 0]))), [1, 3, 2, 0])
def test_merge_all_dims(self):
self.assertListEqual(list(merge_permute_order_dimensions([0, 1, 2], int64_array([0, 1, 2]))), [0])
def test_merge_3_dims(self):
self.assertListEqual(list(merge_permute_order_dimensions([1, 2, 3], int64_array([3, 0, 1, 2, 4]))), [1, 0, 2])
class MergeDimsTest(unittest.TestCase):
def test_merge_middle_dims(self):
self.assertListEqual(list(merge_dims([1, 2], int64_array([3, 2, 5, 7]))), [3, 10, 7])
def test_merge_first_dim(self):
self.assertListEqual(list(merge_dims([0, 1], int64_array([3, 2, 5, 7]))), [6, 5, 7])
def test_merge_last_dim(self):
self.assertListEqual(list(merge_dims([2, 3], int64_array([3, 2, 5, 7]))), [3, 2, 35])
def test_merge_all_dims(self):
self.assertListEqual(list(merge_dims([0, 1, 2, 3], int64_array([3, 2, 5, 7]))), [210])
def test_reduce_with_minus_one(self):
self.assertListEqual(list(merge_dims([1, 2], int64_array([3, -1, 5, 7]))), [3, -1, 7])
def test_merge_with_0_being_merged(self):
with self.assertRaisesRegex(AssertionError, ".*The value 0 is not supported.*"):
merge_dims([1, 2], int64_array([3, 0, 5, 7]))
def test_merge_with_0_not_merged(self):
with self.assertRaisesRegex(AssertionError, ".*The value 0 is not supported.*"):
merge_dims([2, 3], int64_array([3, 0, 5, 7]))