[ONNX] Add MeanVarianceNormalization op (#11444)

* [ONNX] Add MeanVarianceNormalization op

* Add pytest.main([__file__])

python/tvm/relay/frontend/onnx.py

@@ -2195,6 +2195,19 @@ def _impl_v1(cls, inputs, attr, params):
         return _op.mean(concat, axis=0, keepdims=False)
 
 
+class MeanVarianceNormalization(OnnxOpConverter):
+    """Operator converter for MeanVarianceNormalization."""
+
+    @classmethod
+    def _impl_v13(cls, inputs, attr, params):
+        axis = attr.get("axes", (0, 2, 3))
+        data_mean = _op.mean(inputs[0], axis=axis, keepdims=True)
+        data_mean_squared = _op.power(data_mean, _expr.const(2, "float32"))
+        data_squared = _op.power(inputs[0], _expr.const(2, "float32"))
+        data_squared_mean = _op.mean(data_squared, axis=axis, keepdims=True)
+        return (inputs[0] - data_mean) / _op.sqrt(data_squared_mean - data_mean_squared)
+
+
 class HardSigmoid(OnnxOpConverter):
     """Operator converter for HardSigmoid."""
 
@@ -5072,7 +5085,7 @@ def _get_convert_map(opset):
         # 'GRUUnit'
         # 'ATen'
         # 'ImageScaler'
-        # 'MeanVarianceNormalization'
+        "MeanVarianceNormalization": MeanVarianceNormalization.get_converter(opset),
         # 'Crop'
         # 'Embedding'
         "Upsample": Upsample.get_converter(opset),

tests/python/frontend/onnx/test_forward.py

@@ -5140,7 +5140,6 @@ def verify_eyelike(indata):
     "test_maxpool_with_argmax_2d_precomputed_pads",
     "test_maxpool_with_argmax_2d_precomputed_strides",
     "test_maxunpool_export_with_output_shape",
-    "test_mvn",
     # This test fails llvm with a lowering error:
     "test_nllloss_NCd1d2d3_none_no_weight_negative_ii_expanded",
     "test_optional_has_element",
@@ -6654,99 +6653,4 @@ def verify_LinearRegressor(a_shape, c_shape, i_shape, targets=1, batch=1):
 
 
 if __name__ == "__main__":
-    test_flatten()
-    test_reshape()
-    test_shape()
-    test_expand()
-    test_power()
-    test_squeeze()
-    test_unsqueeze()
-    test_slice()
-    test_floor()
-    test_ceil()
-    test_round()
-    test_isinf()
-    test_isnan()
-    test_clip()
-    test_clip_min_max_as_inputs()
-    test_onehot()
-    test_gemm()
-    test_matmul()
-    test_matmulinteger16()
-    test_gather()
-    test_gatherelements()
-    test_gather_nd()
-    test_scatter()
-    test_lrn()
-    test_instance_norm()
-    test_upsample_nearest()
-    test_upsample_bilinear()
-    test_forward_min()
-    test_forward_max()
-    test_forward_mean()
-    test_forward_hardsigmoid()
-    test_forward_arg_min_max()
-    test_softmax()
-    test_constantofshape()
-    test_all_reduce_funcs()
-    test_pad()
-    test_split()
-    test_binary_ops()
-    test_unary_ops()
-    test_leaky_relu()
-    test_elu()
-    test_selu()
-    test_prelu()
-    test_ThresholdedRelu()
-    test_LogSoftmax()
-    test_resnet()
-    test_inception()
-    test_densenet()
-    test_sign()
-    test_not()
-    test_and()
-    test_tile()
-    test_erf()
-    test_where()
-    test_or()
-    test_depth_to_space()
-    test_space_to_depth()
-    test_batch_norm()
-    test_batch_norm_dynamic_subgraph()
-    test_conv()
-    test_convtranspose()
-    test_unsqueeze_constant()
-    test_pooling()
-    test_lppool()
-    test_lstm()
-    test_gru()
-    test_resize()
-    test_nonzero()
-    test_topk()
-    test_mod()
-    test_xor()
-    test_max_roi_pool()
-    test_roi_align()
-    test_range()
-    test_loop()
-    test_size()
-    test_maxunpool()
-    test_softplus()
-    test_cumsum()
-    test_wrong_input()
-    test_aten()
-    test_index_put()
-    test_reverse_sequence()
-    test_eyelike()
-    test_qlinearconcat()
-    test_qlinearconv()
-    test_random_uniform()
-    test_convinteger()
-    test_batch_matmul()
-    test_use_nt_batch_matmul()
-    test_global_lppool()
-    test_scan()
-    test_random_uniform_like()
-    test_random_normal()
-    test_random_normal_like()
-    test_LinearRegressor()
+    pytest.main([__file__])