提交 e168fc44 编写于 作者: F fengjiayi

Add unit tests for cases that `mul_op` takes tensors as inputs

上级 d71396bf
...@@ -2,6 +2,7 @@ import unittest ...@@ -2,6 +2,7 @@ import unittest
import numpy as np import numpy as np
from gradient_checker import GradientChecker, create_op from gradient_checker import GradientChecker, create_op
from op_test_util import OpTestMeta from op_test_util import OpTestMeta
from paddle.v2.framework.op import Operator
class TestMulOp(unittest.TestCase): class TestMulOp(unittest.TestCase):
...@@ -16,6 +17,22 @@ class TestMulOp(unittest.TestCase): ...@@ -16,6 +17,22 @@ class TestMulOp(unittest.TestCase):
self.outputs = {'Out': np.dot(self.inputs['X'], self.inputs['Y'])} self.outputs = {'Out': np.dot(self.inputs['X'], self.inputs['Y'])}
class TestMulOp2(unittest.TestCase):
__metaclass__ = OpTestMeta
def setUp(self):
self.type = "mul"
self.inputs = {
'X': np.random.random((15, 4, 12, 10)).astype("float32"),
'Y': np.random.random((4, 30, 8, 2, 9)).astype("float32")
}
self.attrs = {'x_num_row_dims': 2, 'y_num_row_dims': 3}
self.outputs = {
'Out': np.dot(self.inputs['X'].reshape(15 * 4, 12 * 10),
self.inputs['Y'].reshape(4 * 30, 8 * 2 * 9))
}
class TestMulGradOp(GradientChecker): class TestMulGradOp(GradientChecker):
def setUp(self): def setUp(self):
self.op = create_op("mul") self.op = create_op("mul")
...@@ -49,6 +66,39 @@ class TestMulGradOp(GradientChecker): ...@@ -49,6 +66,39 @@ class TestMulGradOp(GradientChecker):
no_grad_set={"Y"}) no_grad_set={"Y"})
class TestMulGradTest2(GradientChecker):
def setUp(self):
self.op = Operator(
"mul", X="X", Y="Y", Out="Out", x_num_row_dims=2, y_num_row_dims=3)
self.inputs = {
"X": np.random.random((15, 4, 12, 10)).astype("float32"),
"Y": np.random.random((4, 30, 8, 2, 9)).astype("float32")
}
def test_cpu_gpu_compare(self):
self.compare_grad(self.op, self.inputs)
def test_normal(self):
self.check_grad(
self.op, self.inputs, ["X", "Y"], "Out", max_relative_error=0.5)
def test_ignore_x(self):
self.check_grad(
self.op,
self.inputs, ["Y"],
"Out",
max_relative_error=0.5,
no_grad_set={"X"})
def test_ignore_y(self):
self.check_grad(
self.op,
self.inputs, ["X"],
"Out",
max_relative_error=0.5,
no_grad_set={"Y"})
# TODO(dzh,qijun) : mulgrad test case need transpose feature of blas library # TODO(dzh,qijun) : mulgrad test case need transpose feature of blas library
if __name__ == '__main__': if __name__ == '__main__':
......
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