def testConsistent(self):
nums, divs = self.intTestData()
with self.test_session():
tf_result = (
math_ops.floor_div(nums, divs) * divs + math_ops.floormod(nums, divs)
).eval()
tf_nums = array_ops.constant(nums)
tf_divs = array_ops.constant(divs)
tf2_result = (tf_nums // tf_divs * tf_divs + tf_nums % tf_divs).eval()
np_result = (nums // divs) * divs + (nums % divs)
# consistentcy with numpy
self.assertAllEqual(tf_result, np_result)
# consistentcy with two forms of divide
self.assertAllEqual(tf_result, tf2_result)
# consistency for truncation form
tf3_result = (
math_ops.truncatediv(nums, divs) * divs
+ math_ops.truncatemod(nums, divs)
).eval()
expanded_nums = np.reshape(np.tile(nums, divs.shape[1]),
(nums.shape[0], divs.shape[1]))
# Consistent with desire to get numerator
self.assertAllEqual(tf3_result, expanded_nums)
# Consistent with desire to get numerator
self.assertAllEqual(tf_result, expanded_nums)
def testConsistent(self):
nums, divs = self.intTestData()
with self.test_session():
tf_result = (
math_ops.floor_div(nums, divs) * divs + math_ops.floor_mod(nums, divs)
).eval()
tf_nums = array_ops.constant(nums)
tf_divs = array_ops.constant(divs)
tf2_result = (tf_nums // tf_divs * tf_divs + tf_nums % tf_divs).eval()
np_result = (nums // divs) * divs + (nums % divs)
# consistentcy with numpy
self.assertAllEqual(tf_result, np_result)
# consistentcy with two forms of divide
self.assertAllEqual(tf_result, tf2_result)
# consistency for truncation form
tf3_result = (
math_ops.truncatediv(nums, divs) * divs
+ math_ops.truncatemod(nums, divs)
).eval()
expanded_nums = np.reshape(np.tile(nums, divs.shape[1]),
(nums.shape[0], divs.shape[1]))
# Consistent with desire to get numerator
self.assertAllEqual(tf3_result, expanded_nums)
# Consistent with desire to get numerator
self.assertAllEqual(tf_result, expanded_nums)
def testTruncateDivModIntEdges(self):
for dtype in [np.int32, np.int64]:
x, y = self.intEdgeTestData(dtype)
tf_truncate_div = math_ops.truncatediv(x, y)
np_truncate_div = self.numpySafeTruncateDivInt(x, y)
self.assertAllEqual(tf_truncate_div, np_truncate_div)
tf_truncate_mod = math_ops.truncatemod(x, y)
np_truncate_mod = self.numpySafeTruncateModInt(x, y)
self.assertAllEqual(tf_truncate_mod, np_truncate_mod)
z = math_ops.add(math_ops.multiply(tf_truncate_div, y), tf_truncate_mod)
# x = truncatediv(x, y) * y + truncatemod(x, y)
self.assertAllEqual(z, np.broadcast_to(x, z.shape))
def testTruncateModFloat(self):
nums, divs = self.floatTestData()
with self.test_session():
tf_result = math_ops.truncatemod(nums, divs).eval()
np_result = np.fmod(nums, divs)
self.assertAllEqual(tf_result, np_result)
def testTruncateModFloat(self):
nums, divs = self.floatTestData()
with self.cached_session():
tf_result = math_ops.truncatemod(nums, divs).eval()
np_result = np.fmod(nums, divs)
self.assertAllEqual(tf_result, np_result)
def testTruncateModFloat(self):
nums, divs = self.floatTestData()
tf_result = math_ops.truncatemod(nums, divs)
np_result = np.fmod(nums, divs)
self.assertAllEqual(tf_result, np_result)
