def METHOD_NAME():
    in_channel = 3
    out_channel = 64
    filter_h = 3
    filter_w = 3
    pad_h = 1
    pad_w = 1
    stride_h = 1
    stride_w = 1
    dilation_h = 1
    dilation_w = 1
    xshape = [1, in_channel, 128, 128]
    wshape = (out_channel, in_channel, filter_h, filter_w)
    X = te.placeholder(xshape, name="X")
    W = te.placeholder(wshape, name="W")
    Y = miopen.conv2d_forward(
        X, W, stride_h, stride_w, pad_h, pad_w, dilation_h, dilation_w, conv_mode=0, data_type=1
    )
    yshape = [x.value for x in Y.shape]
    from tvm import topi
    s = te.create_schedule(Y.op)
    def verify():
        dev = tvm.rocm(0)
        f = tvm.build(s, [X, W, Y], "rocm --host=llvm", name="conv2d")
        x = tvm.nd.array(np.random.uniform(-1, 1, xshape).astype(np.float32), dev)
        w = tvm.nd.array(np.random.uniform(-1, 1, wshape).astype(np.float32), dev)
        y = tvm.nd.array(np.random.uniform(-1, 1, yshape).astype(np.float32), dev)
        f(x, w, y)
        Y_ref = topi.nn.conv2d_nchw(
            X, W, (stride_h, stride_w), (pad_h, pad_w), (dilation_h, dilation_w)
        )
        s_ref = te.create_schedule(Y_ref.op)
        f_ref = tvm.build(s_ref, [X, W, Y_ref], "rocm --host=llvm")
        y_ref = tvm.nd.array(np.random.uniform(-1, 1, yshape).astype(np.float32), dev)
        f_ref(x, w, y_ref)
        print("Max abs diff:", np.max(np.abs(y.numpy() - y_ref.numpy())))
        tvm.testing.assert_allclose(y.numpy(), y_ref.numpy(), atol=1e-3)
    verify()