diff --git a/python/tvm/relay/op/nn/_nn.py b/python/tvm/relay/op/nn/_nn.py
index 958aabd2d45a..da58e9386c0f 100644
--- a/python/tvm/relay/op/nn/_nn.py
+++ b/python/tvm/relay/op/nn/_nn.py
@@ -85,7 +85,6 @@ def compute_conv2d(attrs, inputs, out_type, target):
             inputs[0], inputs[1], strides, padding,
             dilation, layout, out_dtype=out_dtype)
     elif layout == "NCHW" and \
-         kernel_layout == "OIHW" and \
          get_const_int(inputs[1].shape[0]) == groups and \
          get_const_int(inputs[1].shape[1]) == 1:
         out = topi.nn.depthwise_conv2d_nchw(
diff --git a/tutorials/autotvm/tune_relay_arm.py b/tutorials/autotvm/tune_relay_arm.py
index 266a1532a8b6..b56cb1f1dd42 100644
--- a/tutorials/autotvm/tune_relay_arm.py
+++ b/tutorials/autotvm/tune_relay_arm.py
@@ -186,7 +186,7 @@ def get_network(name, batch_size):
     'log_filename': log_file,
 
     'tuner': 'xgb',
-    'n_trial': 1000,
+    'n_trial': 1500,
     'early_stopping': 800,
 
     'measure_option': autotvm.measure_option(