wehub-resource-sync
276 lines
9.8 KiB
Python
276 lines
9.8 KiB
Python
# Copyright (c) 2022 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 (
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OpTest,
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convert_float_to_uint16,
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get_device_place,
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is_custom_device,
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)
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import paddle
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from paddle.base import core
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class TestLogspaceOpCommonCase(OpTest):
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def setUp(self):
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self.op_type = "logspace"
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self.python_api = paddle.logspace
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self.init_data()
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def init_data(self):
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dtype = 'float32'
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self.inputs = {
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'Start': np.array([0]).astype(dtype),
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'Stop': np.array([10]).astype(dtype),
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'Num': np.array([11]).astype('int32'),
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'Base': np.array([2]).astype(dtype),
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}
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self.attrs = {'dtype': paddle.float32}
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self.outputs = {'Out': np.power(2, np.arange(0, 11)).astype(dtype)}
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def test_check_output(self):
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self.check_output(check_pir=True, check_symbol_infer=False)
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class TestLogspaceFP16Op(TestLogspaceOpCommonCase):
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def init_data(self):
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self.dtype = np.float16
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self.inputs = {
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'Start': np.array([0]).astype(self.dtype),
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'Stop': np.array([10]).astype(self.dtype),
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'Num': np.array([11]).astype('int32'),
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'Base': np.array([2]).astype(self.dtype),
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}
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self.attrs = {'dtype': paddle.float16}
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self.outputs = {'Out': np.power(2, np.arange(0, 11)).astype(self.dtype)}
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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_bfloat16_supported(get_device_place()),
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"core is not compiled with CUDA or not support bfloat16",
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)
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class TestLogspaceBF16Op(OpTest):
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def setUp(self):
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self.op_type = "logspace"
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self.python_api = paddle.logspace
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self.init_data()
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def init_data(self):
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self.dtype = np.uint16
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self.np_dtype = np.float32
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self.inputs = {
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'Start': np.array([0]).astype(self.np_dtype),
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'Stop': np.array([10]).astype(self.np_dtype),
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'Num': np.array([11]).astype('int32'),
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'Base': np.array([2]).astype(self.np_dtype),
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}
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self.attrs = {'dtype': paddle.bfloat16}
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self.outputs = {
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'Out': np.power(2, np.arange(0, 11)).astype(self.np_dtype)
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}
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self.inputs["Start"] = convert_float_to_uint16(self.inputs["Start"])
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self.inputs["Stop"] = convert_float_to_uint16(self.inputs["Stop"])
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self.inputs["Base"] = convert_float_to_uint16(self.inputs["Base"])
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self.outputs["Out"] = convert_float_to_uint16(self.outputs["Out"])
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self.place = get_device_place()
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def test_check_output(self):
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self.check_output_with_place(
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self.place, check_pir=True, check_symbol_infer=False
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)
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class TestLogspaceOpReverseCase(TestLogspaceOpCommonCase):
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def init_data(self):
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dtype = 'float32'
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self.inputs = {
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'Start': np.array([10]).astype(dtype),
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'Stop': np.array([0]).astype(dtype),
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'Num': np.array([11]).astype('int32'),
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'Base': np.array([2]).astype(dtype),
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}
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self.attrs = {'dtype': paddle.float32}
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self.outputs = {'Out': np.power(2, np.arange(10, -1, -1)).astype(dtype)}
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class TestLogspaceOpNumOneCase(TestLogspaceOpCommonCase):
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def init_data(self):
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dtype = 'float32'
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self.inputs = {
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'Start': np.array([10]).astype(dtype),
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'Stop': np.array([0]).astype(dtype),
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'Num': np.array([1]).astype('int32'),
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'Base': np.array([2]).astype(dtype),
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}
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self.attrs = {'dtype': paddle.float32}
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self.outputs = {'Out': np.power(2, np.array([10])).astype(dtype)}
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class TestLogspaceOpMinusBaseCase(TestLogspaceOpCommonCase):
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def init_data(self):
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dtype = 'float32'
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self.inputs = {
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'Start': np.array([0]).astype(dtype),
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'Stop': np.array([10]).astype(dtype),
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'Num': np.array([11]).astype('int32'),
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'Base': np.array([-2]).astype(dtype),
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}
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self.attrs = {'dtype': paddle.float32}
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self.outputs = {'Out': np.power(-2, np.arange(0, 11)).astype(dtype)}
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class TestLogspaceOpZeroBaseCase(TestLogspaceOpCommonCase):
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def init_data(self):
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dtype = 'float32'
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self.inputs = {
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'Start': np.array([0]).astype(dtype),
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'Stop': np.array([10]).astype(dtype),
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'Num': np.array([11]).astype('int32'),
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'Base': np.array([0]).astype(dtype),
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}
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self.attrs = {'dtype': paddle.float32}
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self.outputs = {'Out': np.power(0, np.arange(0, 11)).astype(dtype)}
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class TestLogspaceAPI(unittest.TestCase):
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def test_variable_input1(self):
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paddle.enable_static()
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prog = paddle.static.Program()
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with paddle.static.program_guard(prog):
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start = paddle.full(shape=[1], fill_value=0, dtype='float32')
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stop = paddle.full(shape=[1], fill_value=10, dtype='float32')
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num = paddle.full(shape=[1], fill_value=5, dtype='int32')
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base = paddle.full(shape=[1], fill_value=2, dtype='float32')
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out = paddle.logspace(start, stop, num, base, dtype='float32')
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exe = paddle.static.Executor()
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res = exe.run(prog, fetch_list=[out])
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np_res = np.logspace(0, 10, 5, base=2, dtype='float32')
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self.assertEqual((res == np_res).all(), True)
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paddle.disable_static()
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def test_variable_input2(self):
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paddle.disable_static()
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start = paddle.full(shape=[1], fill_value=0, dtype='float32')
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stop = paddle.full(shape=[1], fill_value=10, dtype='float32')
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num = paddle.full(shape=[1], fill_value=5, dtype='int32')
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base = paddle.full(shape=[1], fill_value=2, dtype='float32')
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out = paddle.logspace(start, stop, num, base, dtype='float32')
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np_res = np.logspace(0, 10, 5, base=2, dtype='float32')
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self.assertEqual((out.numpy() == np_res).all(), True)
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paddle.enable_static()
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def test_dtype(self):
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paddle.enable_static()
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prog = paddle.static.Program()
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with paddle.static.program_guard(prog):
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out_1 = paddle.logspace(0, 10, 5, 2, dtype='float32')
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out_2 = paddle.logspace(0, 10, 5, 2, dtype=np.float32)
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exe = paddle.static.Executor()
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res_1, res_2 = exe.run(prog, fetch_list=[out_1, out_2])
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np.testing.assert_array_equal(res_1, res_2)
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paddle.disable_static()
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def test_name(self):
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with paddle.static.program_guard(paddle.static.Program()):
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out = paddle.logspace(
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0, 10, 5, 2, dtype='float32', name='logspace_res'
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)
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if not paddle.framework.use_pir_api():
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assert 'logspace_res' in out.name
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def test_imperative(self):
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paddle.disable_static()
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out1 = paddle.logspace(0, 10, 5, 2, dtype='float32')
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np_out1 = np.logspace(0, 10, 5, base=2, dtype='float32')
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out2 = paddle.logspace(0, 10, 5, 2, dtype='int32')
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np_out2 = np.logspace(0, 10, 5, base=2, dtype='int32')
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out3 = paddle.logspace(0, 10, 200, 2, dtype='int32')
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np_out3 = np.logspace(0, 10, 200, base=2, dtype='int32')
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paddle.enable_static()
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self.assertEqual((out1.numpy() == np_out1).all(), True)
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self.assertEqual((out2.numpy() == np_out2).all(), True)
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self.assertEqual((out3.numpy() == np_out3).all(), True)
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class TestLogspaceOpError(unittest.TestCase):
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def test_errors(self):
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with paddle.static.program_guard(paddle.static.Program()):
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def test_dtype():
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paddle.logspace(0, 10, 1, 2, dtype="int8")
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self.assertRaises(TypeError, test_dtype)
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def test_dtype1():
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paddle.logspace(0, 10, 1.33, 2, dtype="int32")
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self.assertRaises(TypeError, test_dtype1)
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def test_start_type():
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paddle.logspace([0], 10, 1, 2, dtype="float32")
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self.assertRaises(TypeError, test_start_type)
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def test_end_type():
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paddle.logspace(0, [10], 1, 2, dtype="float32")
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self.assertRaises(TypeError, test_end_type)
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def test_num_type():
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paddle.logspace(0, 10, [0], 2, dtype="float32")
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self.assertRaises(TypeError, test_num_type)
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def test_start_dtype():
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start = paddle.static.data(
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shape=[1], dtype="float64", name="start"
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)
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paddle.logspace(start, 10, 1, 2, dtype="float32")
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self.assertRaises(ValueError, test_start_dtype)
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def test_end_dtype():
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end = paddle.static.data(shape=[1], dtype="float64", name="end")
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paddle.logspace(0, end, 1, 2, dtype="float32")
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self.assertRaises(ValueError, test_end_dtype)
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def test_num_dtype():
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num = paddle.static.data(
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shape=[1], dtype="float32", name="step"
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)
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paddle.logspace(0, 10, num, 2, dtype="float32")
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self.assertRaises(TypeError, test_num_dtype)
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def test_base_dtype():
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base = paddle.static.data(
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shape=[1], dtype="float64", name="end"
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)
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paddle.logspace(0, 10, 1, base, dtype="float32")
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self.assertRaises(ValueError, test_base_dtype)
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if __name__ == "__main__":
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unittest.main()
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