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4 changes: 2 additions & 2 deletions tensorflow/core/kernels/cwise_op_floor_div.cc
Original file line number Diff line number Diff line change
Expand Up @@ -21,14 +21,14 @@ REGISTER6(BinaryOp, CPU, "FloorDiv", functor::safe_floor_div, uint8, uint16,
REGISTER3(BinaryOp, CPU, "FloorDiv", functor::floor_div_real, float,
Eigen::half, double);

#if GOOGLE_CUDA
#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
REGISTER4(BinaryOp, GPU, "FloorDiv", functor::floor_div, uint8, uint16, int16,
int64);
REGISTER3(BinaryOp, GPU, "FloorDiv", functor::floor_div_real, float,
Eigen::half, double);
#endif

#if GOOGLE_CUDA
#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
// A special GPU kernel for int32.
// TODO(b/25387198): Also enable int32 in device memory. This kernel
// registration requires all int32 inputs and outputs to be in host memory.
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7 changes: 6 additions & 1 deletion tensorflow/python/kernel_tests/zero_division_test.py
Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,12 @@ def testZeros(self):
# very portable, so we may need to expand this list if other GPUs
# do different things.
self.assertTrue(test.is_gpu_available())
self.assertIn(result, (-1, 0xff, 0xffffffff))
if not test.is_built_with_rocm():
self.assertIn(result, (-1, 0xff, 0xffffffff))
else:
# ROCM TODO: verify bit patterns on AMD GCN architecture in zero
# divisions
pass


if __name__ == '__main__':
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