wehub-resource-sync
308 lines
10 KiB
Python
308 lines
10 KiB
Python
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import unittest
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import numpy as np
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from op_test import get_device_place, is_custom_device
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import paddle
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from paddle.base import core
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class TestSparseIsCoalescedAPI(unittest.TestCase):
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def setUp(self):
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self.dtype = "float32"
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coo_indices = [[0, 0, 0, 1], [0, 0, 1, 2]]
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coo_values = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
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self.coo_tensor = paddle.sparse.sparse_coo_tensor(
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coo_indices, coo_values, dtype=self.dtype
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)
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self.expected_result = False
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def test_is_coalesced(self):
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places = [core.CPUPlace()]
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if core.is_compiled_with_cuda() or is_custom_device():
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places.append(get_device_place())
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for place in places:
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paddle.disable_static(place)
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self.assertEqual(
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self.coo_tensor.is_coalesced(), self.expected_result
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)
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class TestSparseIsCoalescedAPI1(TestSparseIsCoalescedAPI):
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def setUp(self):
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self.dtype = "float64"
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coo_indices = [[0, 0, 1, 2], [0, 1, 1, 2]]
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coo_values = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
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self.coo_tensor = paddle.sparse.sparse_coo_tensor(
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coo_indices, coo_values, dtype=self.dtype
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)
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self.expected_result = False
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class TestSparseIsCoalescedAPI2(TestSparseIsCoalescedAPI):
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def setUp(self):
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coo_indices = [[0, 0, 1, 2], [0, 2, 0, 2], [0, 1, 1, 0]]
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coo_values = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
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self.dtype = "int16"
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self.coo_tensor = paddle.sparse.sparse_coo_tensor(
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coo_indices, coo_values, dtype=self.dtype
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).coalesce()
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self.expected_result = True
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class TestSparseIsCoalescedAPI3(TestSparseIsCoalescedAPI):
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def setUp(self):
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coo_indices = [[0, 0, 0, 1], [0, 0, 1, 2]]
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coo_values = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
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self.dtype = "int32"
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self.coo_tensor = paddle.sparse.sparse_coo_tensor(
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coo_indices, coo_values, dtype=self.dtype
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).coalesce()
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self.expected_result = True
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class TestSparseIsCoalescedAPI4(TestSparseIsCoalescedAPI):
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def setUp(self):
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coo_indices = [[0, 0, 0, 1], [0, 0, 1, 2]]
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coo_values = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
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self.dtype = "int64"
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self.coo_tensor = paddle.sparse.sparse_coo_tensor(
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coo_indices, coo_values, dtype=self.dtype
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)
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self.expected_result = False
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class TestSparseIsCoalescedAPI5(TestSparseIsCoalescedAPI):
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def setUp(self):
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coo_indices = [[0, 0, 0, 1], [0, 0, 1, 2]]
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coo_values = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
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self.dtype = "uint8"
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self.coo_tensor = paddle.sparse.sparse_coo_tensor(
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coo_indices, coo_values, dtype=self.dtype
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)
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self.expected_result = False
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class TestSparseIsCoalescedAPI6(TestSparseIsCoalescedAPI):
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def setUp(self):
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coo_indices = [[0, 0, 1, 2], [0, 1, 1, 2], [0, 1, 1, 2]]
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coo_values = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
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self.dtype = "complex64"
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self.coo_tensor = paddle.sparse.sparse_coo_tensor(
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coo_indices, coo_values, dtype=self.dtype
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).coalesce()
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self.expected_result = True
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class TestSparseIsCoalescedAPI7(TestSparseIsCoalescedAPI):
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def setUp(self):
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coo_indices = [[0, 0, 1, 2], [0, 1, 1, 2], [1, 0, 1, 2]]
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coo_values = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
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self.dtype = "complex128"
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self.coo_tensor = paddle.sparse.sparse_coo_tensor(
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coo_indices, coo_values, dtype=self.dtype
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)
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self.expected_result = False
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@unittest.skipIf(
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not (core.is_compiled_with_cuda() or is_custom_device())
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or not core.is_float16_supported(get_device_place()),
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"core is not compiled with CUDA and not support the float16",
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)
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class TestSparseIsCoalescedFP16API(TestSparseIsCoalescedAPI):
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def setUp(self):
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self.dtype = "float16"
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coo_indices = [[0, 0, 0, 1], [0, 0, 1, 2]]
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coo_values = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
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self.coo_tensor = paddle.sparse.sparse_coo_tensor(
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coo_indices, coo_values, dtype=self.dtype
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).coalesce()
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self.expected_result = True
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class TestSparseIsCoalescedAPIStatic(unittest.TestCase):
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def setUp(self):
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self.dtype = "float32"
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self.coo_indices = np.array([[0, 0, 0, 1], [0, 0, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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def test_is_coalesced(self):
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paddle.enable_static()
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with paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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):
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coo_indices = paddle.static.data(
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name='coo_indices',
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shape=self.coo_indices.shape,
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dtype='int64',
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)
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coo_values = paddle.static.data(
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name='coo_values',
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shape=self.coo_indices.shape,
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dtype=self.dtype,
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)
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coo = paddle.sparse.sparse_coo_tensor(
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coo_indices,
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coo_values,
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shape=self.coo_shape,
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dtype=self.dtype,
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)
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exe = paddle.static.Executor()
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exe.run(
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feed={
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'coo_indices': self.coo_indices,
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'coo_values': self.coo_values,
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}
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)
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self.assertEqual(coo.is_coalesced(), self.expected_result)
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paddle.disable_static()
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class TestSparseIsCoalescedAPIStatic1(TestSparseIsCoalescedAPIStatic):
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def setUp(self):
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self.dtype = "float64"
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self.coo_indices = np.array([[0, 1, 0, 1], [0, 0, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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class TestSparseIsCoalescedAPIStatic2(TestSparseIsCoalescedAPIStatic):
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def setUp(self):
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self.dtype = "float64"
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self.coo_indices = np.array([[0, 0, 0, 1], [0, 2, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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class TestSparseIsCoalescedAPIStatic3(TestSparseIsCoalescedAPIStatic):
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def setUp(self):
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self.dtype = "int16"
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self.coo_indices = np.array([[0, 1, 0, 1], [0, 0, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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class TestSparseIsCoalescedAPIStatic4(TestSparseIsCoalescedAPIStatic):
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def setUp(self):
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self.dtype = "int32"
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self.coo_indices = np.array([[0, 0, 0, 1], [0, 2, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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class TestSparseIsCoalescedAPIStatic5(TestSparseIsCoalescedAPIStatic):
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def setUp(self):
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self.dtype = "int64"
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self.coo_indices = np.array([[0, 1, 0, 1], [0, 0, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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class TestSparseIsCoalescedAPIStatic6(TestSparseIsCoalescedAPIStatic):
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def setUp(self):
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self.dtype = "uint8"
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self.coo_indices = np.array([[0, 0, 0, 1], [0, 2, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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class TestSparseIsCoalescedAPIStatic7(TestSparseIsCoalescedAPIStatic):
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def setUp(self):
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self.dtype = "complex64"
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self.coo_indices = np.array([[0, 1, 0, 1], [0, 0, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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class TestSparseIsCoalescedAPIStatic8(TestSparseIsCoalescedAPIStatic):
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def setUp(self):
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self.dtype = "complex128"
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self.coo_indices = np.array([[0, 0, 0, 1], [0, 2, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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@unittest.skipIf(
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not (core.is_compiled_with_cuda() or is_custom_device())
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or not core.is_float16_supported(get_device_place()),
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"core is not compiled with CUDA and not support the float16",
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)
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class TestSparseIsCoalescedAPIStaticFP16(TestSparseIsCoalescedAPIStatic):
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def setUp(self):
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self.dtype = "float16"
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self.coo_indices = np.array([[0, 0, 0, 1], [0, 2, 1, 2]]).astype(
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'int64'
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)
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self.coo_values = np.array([1.0, 2.0, 3.0, 4.0]).astype(self.dtype)
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self.coo_shape = [2, 3]
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self.expected_result = False
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class TestSparseIsCoalescedError(unittest.TestCase):
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def setUp(self):
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self.place = paddle.CPUPlace()
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def test_invalid_tensor_dygraph(self):
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with self.assertRaises(TypeError):
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x = paddle.to_tensor([[1.0, 0.0, 3.0, 0.0, 2.0]]).to_sparse_csr()
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x.is_coalesced()
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def test_invalid_tensor_static_graph(self):
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paddle.enable_static()
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with self.assertRaises(TypeError):
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x_np = np.array([[1.0, 3.0, 2.0]])
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with paddle.static.program_guard(paddle.static.Program()):
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x = paddle.static.data('x', [1], dtype=x_np.dtype)
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x.is_coalesced()
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exe = paddle.static.Executor(self.place)
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exe.run(feed={'x': x_np})
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paddle.disable_static()
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if __name__ == "__main__":
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unittest.main()
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