Laurawly commented on a change in pull request #4867: [TOPI][CUDA] Enable
vectorization on fp16 type
URL: https://github.com/apache/incubator-tvm/pull/4867#discussion_r378516859
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File path: topi/tests/python/test_topi_tensor.py
##########
@@ -84,18 +84,41 @@ def check_device(device):
for device in ["llvm"]:
check_device(device)
+def verify_vectorization(n, m, dtype):
+ def check_device(device):
+ if not tvm.runtime.enabled(device):
+ print("Skip because %s is not enabled" % device)
+ return
+ with tvm.target.create(device):
+ ctx = tvm.context(device, 0)
+ A = tvm.placeholder((n, m), name='A', dtype=dtype)
+ B = tvm.compute((n, m), lambda i, j:
+ A[i, j] + tvm.const(1, A.dtype), name='B')
+ S = topi.generic.schedule_elemwise(B)
+
+ fun = tvm.build(S, [A, B], device)
+ np_A = tvm.nd.empty((n, m), A.dtype, ctx).copyfrom(
+ np.random.uniform(size=(n, m)))
+ np_B = tvm.nd.empty((n, m), B.dtype, ctx)
+ fun(np_A, np_B)
+ tvm.testing.assert_allclose(np_B.asnumpy(), np_A.asnumpy() + 1,
rtol=1e-5)
+
+ for device in ["cuda"]:
+ check_device(device)
+
+def test_vectorization():
+ verify_vectorization(128, 128, "float16")
Review comment:
Same here.
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