experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Add qint8/qint16/quint8/quint16 support for tf.math.equal/tf/math.not_equal

Browse Source 
This PR add qint8/qint16/quint8/quint16 support for tf.math.equal/tf/math.not_equal,
as was requested in 26069.

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>
This commit is contained in:
Yong Tang 2020-07-28 02:13:16 +00:00
parent 7eb5039543
commit 3a7368d06f
4 changed files with 24 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
tensorflow/core/kernels/cwise_op_equal_to_1.cc
View File

@ -18,7 +18,8 @@ limitations under the License.
namespace tensorflow {
REGISTER7(BinaryOp, CPU, "Equal", functor::equal_to, float, Eigen::half, double,
uint8, int8, int16, bfloat16);
REGISTER3(BinaryOp, CPU, "Equal", functor::equal_to, uint16, uint32, uint64);
REGISTER7(BinaryOp, CPU, "Equal", functor::equal_to, uint16, uint32, uint64,
qint8, qint16, quint8, quint16);
REGISTER_KERNEL_BUILDER(
Name("ApproximateEqual").Device(DEVICE_CPU).TypeConstraint<float>("T"),
ApproximateEqualOp<CPUDevice, float>);

4
tensorflow/core/kernels/cwise_op_not_equal_to_1.cc
View File

@ -18,8 +18,8 @@ limitations under the License.
namespace tensorflow {
REGISTER7(BinaryOp, CPU, "NotEqual", functor::not_equal_to, float, Eigen::half,
double, uint8, int8, int16, bfloat16);
REGISTER3(BinaryOp, CPU, "NotEqual", functor::not_equal_to, uint16, uint32,
uint64);
REGISTER7(BinaryOp, CPU, "NotEqual", functor::not_equal_to, uint16, uint32,
uint64, qint8, qint16, quint8, quint16);
#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
REGISTER4(BinaryOp, GPU, "NotEqual", functor::not_equal_to, float, Eigen::half,
double, uint8);

5
tensorflow/core/ops/math_ops.cc
View File

@ -708,10 +708,7 @@ REGISTER_OP("GreaterEqual").COMPARISON();
.Input("y: T") \
.Output("z: bool") \
.SetIsCommutative() \
.Attr( \
"T: {bfloat16, half, float, double, uint8, int8, int16, int32, " \
"int64, uint16, uint32, uint64, complex64, " \
"quint8, qint8, qint32, string, bool, complex128}") \
.Attr("T: type") \
.Attr("incompatible_shape_error: bool = true") \
.SetShapeFn([](InferenceContext* c) { \
ShapeHandle x = c->input(0); \

19
tensorflow/python/kernel_tests/cwise_ops_binary_test.py
View File

@ -991,6 +991,25 @@ class ComparisonOpTest(test.TestCase):
[[True, True, True, True, True], [False, False, False, False, False]],
values)
def testEqualQuantizeDType(self):
dtypes = [
dtypes_lib.qint8,
dtypes_lib.qint16,
dtypes_lib.quint8,
dtypes_lib.quint16,
]
x = np.asarray([0, 1, 2, 3, 4])
y = np.asarray([0, 1, 2, 3, 4])
for dtype in dtypes:
xt = x.astype(dtype.as_numpy_dtype)
yt = y.astype(dtype.as_numpy_dtype)
cmp_eq = math_ops.equal(xt, yt)
cmp_ne = math_ops.not_equal(xt, yt)
values = self.evaluate([cmp_eq, cmp_ne])
self.assertAllEqual(
[[True, True, True, True, True], [False, False, False, False, False]],
values)
if __name__ == "__main__":
test.main()