masahi commented on code in PR #14166:
URL: https://github.com/apache/tvm/pull/14166#discussion_r1122267174
##########
tests/python/relax/test_codegen_cutlass.py:
##########
@@ -255,13 +177,48 @@ def test_conv2d_offload():
tvm.testing.assert_allclose(out, ref, rtol=1e-5, atol=1e-5)
+def test_kernel_sharing():
+ data_np = np.random.randn(16, 32, 32, 16).astype("float16")
+ weight1_np = np.random.randn(16, 3, 3, 16).astype("float16")
+ weight2_np = np.random.randn(16, 3, 3, 16).astype("float16")
+
+ out = get_result_with_relax_cutlass_offload(Conv2dx2, data_np, weight1_np,
weight2_np)
+
+ relay_expr = get_relay_conv2d_relu_x2(data_np.shape, weight1_np.shape)
+ ref = get_relay_ref(relay_expr, data_np, weight1_np, weight2_np)
+
+ tvm.testing.assert_allclose(out, ref, rtol=1e-5, atol=1e-5)
+
+
+def get_reference_matmul_result(x, y, bias=None, transposed_y=False,
activation=None):
Review Comment:
Were you able to pass accuracy check with this function?
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