rocm: fix miopen convolutions (#5179)

* fix miopen convolutions

* fix overly long lines

tests/python/contrib/test_miopen.py

@@ -56,8 +56,7 @@ def test_conv2d():
 
     yshape = [x.value for x in Y.shape]
     import topi
-    with tvm.target.create("rocm -libs=miopen"):
-        s = topi.generic.schedule_extern(Y)
+    s = te.create_schedule(Y.op)
 
     def verify():
         ctx = tvm.rocm(0)
@@ -67,10 +66,10 @@ def verify():
         y = tvm.nd.array(np.random.uniform(-1, 1, yshape).astype(np.float32), ctx)
         f(x, w, y)
 
-        Y_ref = topi.nn.conv2d_nchw(X, W, (stride_h, stride_w), (pad_h, pad_w), (dilation_h, dilation_w))
-        with tvm.target.rocm():
-            s_ref = topi.generic.schedule_conv2d_nchw([Y_ref])
-        f_ref = tvm.build(s_ref, [X, W, Y_ref], "rocm")
+        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", target_host="llvm")
         y_ref = tvm.nd.array(np.random.uniform(-1, 1, yshape).astype(np.float32), ctx)
         f_ref(x, w, y_ref)
         print("Max abs diff:", np.max(np.abs(y.asnumpy() - y_ref.asnumpy())))

topi/python/topi/rocm/conv2d.py

@@ -24,7 +24,8 @@
 from ..nn.util import get_pad_tuple
 
 @autotvm.register_topi_compute("conv2d_nchw_miopen.rocm")
-def conv2d_nchw_miopen(cfg, data, kernel, strides, padding, dilation, out_dtype='float32'):
+def conv2d_nchw_miopen(cfg, data, kernel, strides, padding, dilation,
+                       layout='NCHW', out_dtype='float32'):
     """Conv2D operator for rocm backend.
 
     Parameters
@@ -58,6 +59,8 @@ def conv2d_nchw_miopen(cfg, data, kernel, strides, padding, dilation, out_dtype=
     CO, CI, KH, KW = get_const_tuple(kernel.shape)
     N, _, H, W = get_const_tuple(data.shape)
 
+    assert layout == 'NCHW'
+
     # handle dilation
     stride_h, stride_w = (strides, strides) if isinstance(strides, int) else strides
     pt, pl, pb, pr = get_pad_tuple(padding, (KH, KW))