wehub-resource-sync
246 lines
7.3 KiB
Python
246 lines
7.3 KiB
Python
#!/usr/bin/env python3
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# Copyright (c) 2021 CINN 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 os
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import unittest
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from test_utils import SingleOpTester
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import paddle
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from paddle import static
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from paddle.cinn import framework
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os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
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def matmul_util(inputs_data, input_shape, trans_a, trans_b, alpha):
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main_program = static.Program()
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paddle.enable_static()
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with static.program_guard(main_program, static.Program()):
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[input_x, input_y] = inputs_data
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x = static.data(name='x', shape=input_shape[0], dtype='float32')
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y = static.data(name='y', shape=input_shape[1], dtype='float32')
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output = paddle.matmul(x, y, trans_a, trans_b)
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output = paddle.scale(output, scale=alpha)
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exe = static.Executor(paddle.CPUPlace())
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exe.run(static.default_startup_program())
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(res,) = exe.run(
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static.default_main_program(),
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feed={'x': input_x, 'y': input_y},
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fetch_list=[output],
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)
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return res
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class OpTest_matmul_0(SingleOpTester):
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def init_testcase(self):
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self.input_shape = [[100, 32], [32, 100]]
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self.output_shape = [[100, 100], [100, 100]]
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self.trans_a = False
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self.trans_b = False
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self.alpha = 1.0
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self.attrs = framework.NodeAttr()
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self.attrs.set_attr("trans_a", self.trans_a)
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self.attrs.set_attr("trans_b", self.trans_b)
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self.attrs.set_attr("alpha", self.alpha)
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def create_target_data(self, inputs_data, attrs):
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return matmul_util(
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inputs_data,
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self.input_shape,
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self.trans_a,
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self.trans_b,
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self.alpha,
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)
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def test_op(self):
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self.init_testcase()
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self.to_test_op(
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self.input_shape, self.output_shape, "matmul", self.attrs, 0
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)
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class OpTest_matmul_1(SingleOpTester):
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def init_testcase(self):
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self.input_shape = [[100, 32], [100, 32]]
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self.output_shape = [[100, 100], [2, 32, 50]]
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self.trans_a = False
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self.trans_b = True
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self.alpha = 2.0
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self.attrs = framework.NodeAttr()
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self.attrs.set_attr("trans_a", self.trans_a)
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self.attrs.set_attr("trans_b", self.trans_b)
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self.attrs.set_attr("alpha", self.alpha)
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def create_target_data(self, inputs_data, attrs):
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return matmul_util(
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inputs_data,
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self.input_shape,
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self.trans_a,
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self.trans_b,
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self.alpha,
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)
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def test_op(self):
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self.init_testcase()
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self.to_test_op(
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self.input_shape, self.output_shape, "matmul", self.attrs, 0
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)
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class OpTest_matmul_2(SingleOpTester):
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def init_testcase(self):
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self.input_shape = [[2, 3, 100, 32], [2, 3, 100, 32]]
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self.output_shape = [[2, 3, 100, 100], [2, 3, 2, 100, 16]]
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self.trans_a = False
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self.trans_b = True
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self.alpha = 2.0
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self.attrs = framework.NodeAttr()
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self.attrs.set_attr("trans_a", self.trans_a)
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self.attrs.set_attr("trans_b", self.trans_b)
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self.attrs.set_attr("alpha", self.alpha)
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def create_target_data(self, inputs_data, attrs):
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return matmul_util(
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inputs_data,
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self.input_shape,
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self.trans_a,
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self.trans_b,
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self.alpha,
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)
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def test_op(self):
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self.init_testcase()
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self.to_test_op(
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self.input_shape, self.output_shape, "matmul", self.attrs, 0
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)
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class OpTest_matmul_3(SingleOpTester):
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def init_testcase(self):
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self.input_shape = [[32, 100], [32, 100]]
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self.output_shape = [[100, 100], [2, 100, 16]]
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self.trans_a = True
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self.trans_b = False
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self.alpha = 2.0
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self.attrs = framework.NodeAttr()
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self.attrs.set_attr("trans_a", self.trans_a)
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self.attrs.set_attr("trans_b", self.trans_b)
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self.attrs.set_attr("alpha", self.alpha)
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def create_target_data(self, inputs_data, attrs):
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return matmul_util(
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inputs_data,
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self.input_shape,
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self.trans_a,
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self.trans_b,
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self.alpha,
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)
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def test_op(self):
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self.init_testcase()
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self.to_test_op(
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self.input_shape, self.output_shape, "matmul", self.attrs, 0
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)
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class OpTest_matmul_4(SingleOpTester):
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def init_testcase(self):
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self.input_shape = [[32, 100], [100]]
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self.output_shape = [[32], [2, 100, 16]]
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self.trans_a = False
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self.trans_b = False
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self.alpha = 2.0
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self.attrs = framework.NodeAttr()
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self.attrs.set_attr("trans_a", self.trans_a)
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self.attrs.set_attr("trans_b", self.trans_b)
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self.attrs.set_attr("alpha", self.alpha)
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def create_target_data(self, inputs_data, attrs):
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return matmul_util(
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inputs_data,
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self.input_shape,
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self.trans_a,
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self.trans_b,
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self.alpha,
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)
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def test_op(self):
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self.init_testcase()
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self.to_test_op(
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self.input_shape, self.output_shape, "matmul", self.attrs, 0
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)
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class OpTest_matmul_5(SingleOpTester):
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def init_testcase(self):
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self.input_shape = [[100], [100]]
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self.output_shape = [[1], [1, 100, 1]]
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self.trans_a = False
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self.trans_b = False
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self.alpha = 2.0
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self.attrs = framework.NodeAttr()
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self.attrs.set_attr("trans_a", self.trans_a)
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self.attrs.set_attr("trans_b", self.trans_b)
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self.attrs.set_attr("alpha", self.alpha)
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def create_target_data(self, inputs_data, attrs):
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return matmul_util(
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inputs_data,
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self.input_shape,
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self.trans_a,
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self.trans_b,
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self.alpha,
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)
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def test_op(self):
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self.init_testcase()
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self.to_test_op(
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self.input_shape, self.output_shape, "matmul", self.attrs, 0
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)
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class OpTest_matmul_6(SingleOpTester):
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def init_testcase(self):
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self.input_shape = [[32, 1], [1, 100]]
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self.output_shape = [[32, 100], [2, 1, 50]]
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self.trans_a = False
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self.trans_b = False
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self.alpha = 2.0
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self.attrs = framework.NodeAttr()
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self.attrs.set_attr("trans_a", self.trans_a)
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self.attrs.set_attr("trans_b", self.trans_b)
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self.attrs.set_attr("alpha", self.alpha)
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def create_target_data(self, inputs_data, attrs):
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return matmul_util(
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inputs_data,
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self.input_shape,
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self.trans_a,
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self.trans_b,
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self.alpha,
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)
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def test_op(self):
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self.init_testcase()
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self.to_test_op(
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self.input_shape, self.output_shape, "matmul", self.attrs, 0
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)
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if __name__ == "__main__":
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unittest.main()
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