masahi commented on a change in pull request #4418: [RUNTIME] Add cudnn conv3d
URL: https://github.com/apache/incubator-tvm/pull/4418#discussion_r351197316
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File path: tests/python/contrib/test_cudnn.py
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@@ -67,22 +71,109 @@ def verify_conv2d(data_dtype, conv_dtype,
tensor_format=0):
def verify():
ctx = tvm.gpu(0)
f = tvm.build(s, [X, W, Y], "cuda", target_host="llvm", name="conv2d")
- x = tvm.nd.array(np.random.uniform(-1, 1, xshape).astype(data_dtype),
- ctx)
- w = tvm.nd.array(np.random.uniform(-1, 1, wshape).astype(data_dtype),
- ctx)
- y = tvm.nd.array(np.random.uniform(-1, 1, yshape).astype(data_dtype),
- ctx)
+ x_np = np.random.uniform(-1, 1, xshape).astype(data_dtype)
+ w_np = np.random.uniform(-1, 1, wshape).astype(data_dtype)
+ y_np = np.zeros(yshape).astype(data_dtype)
+ x = tvm.nd.array(x_np, ctx)
+ w = tvm.nd.array(w_np, ctx)
+ y = tvm.nd.array(y_np, ctx)
+ if tensor_format == 0:
+ c_np = topi.testing.conv2d_nchw_python(x_np, w_np, 1, 1)
+ elif tensor_format == 1:
+ wt = w_np.transpose((1, 2, 3, 0)) #OHWI => HWIO
Review comment:
You don't need this line if you set the wshape at line 52 correctly.
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