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Added uint8 registration for addition operation (Fixes #10447)

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Lakshay Garg 2017-06-09 12:02:13 +05:30 committed by Martin Wicke
parent 3c4cb087e6
commit 4c0052dc4b
3 changed files with 11 additions and 4 deletions
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7
tensorflow/core/kernels/cwise_op_add_2.cc
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@ -22,10 +22,11 @@ namespace tensorflow {
// sharded files, only make its register calls when not __ANDROID_TYPES_SLIM__. // sharded files, only make its register calls when not __ANDROID_TYPES_SLIM__.
#if !defined(__ANDROID_TYPES_SLIM__) #if !defined(__ANDROID_TYPES_SLIM__)
REGISTER5(BinaryOp, CPU, "Add", functor::add, int8, int16, complex64, REGISTER6(BinaryOp, CPU, "Add", functor::add, int8, int16, complex64,
complex128, string); uint8, complex128, string);
#if GOOGLE_CUDA #if GOOGLE_CUDA
REGISTER3(BinaryOp, GPU, "Add", functor::add, int64, complex64, complex128); REGISTER4(BinaryOp, GPU, "Add", functor::add, uint8, int64, complex64,
complex128);
#endif // GOOGLE_CUDA #endif // GOOGLE_CUDA
#endif // !defined(__ANDROID_TYPES_SLIM__) #endif // !defined(__ANDROID_TYPES_SLIM__)

3
tensorflow/core/kernels/cwise_op_gpu_add.cu.cc
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@ -19,7 +19,8 @@ limitations under the License.
namespace tensorflow { namespace tensorflow {
namespace functor { namespace functor {
DEFINE_BINARY6(add, Eigen::half, float, double, int64, complex64, complex128); DEFINE_BINARY7(add, Eigen::half, float, double, uint8, int64, complex64,
complex128);
} // namespace functor } // namespace functor
} // namespace tensorflow } // namespace tensorflow

5
tensorflow/python/kernel_tests/cwise_ops_test.py
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@ -707,6 +707,11 @@ class BinaryOpTest(test.TestCase):
except ImportError as e: except ImportError as e:
tf_logging.warn("Cannot test special functions: %s" % str(e)) tf_logging.warn("Cannot test special functions: %s" % str(e))
def testUint8Basic(self):
x = np.arange(1, 13, 2).reshape(1, 3, 2).astype(np.uint8)
y = np.arange(1, 7, 1).reshape(1, 3, 2).astype(np.uint8)
self._compareBoth(x, y, np.add, math_ops.add)
def testInt8Basic(self): def testInt8Basic(self):
x = np.arange(1, 13, 2).reshape(1, 3, 2).astype(np.int8) x = np.arange(1, 13, 2).reshape(1, 3, 2).astype(np.int8)
y = np.arange(1, 7, 1).reshape(1, 3, 2).astype(np.int8) y = np.arange(1, 7, 1).reshape(1, 3, 2).astype(np.int8)