Update ops.yaml

paddle/fluid/pir/dialect/operator/ir/ops.yaml

@@ -1479,15 +1479,6 @@
   optional: dropout1_seed, dropout2_seed, linear1_bias, linear2_bias, ln1_scale, ln1_bias, ln2_scale, ln2_bias, ln2_mean, ln2_variance, ln1_mean, ln1_variance, ln1_out
   backward: fused_feedforward_grad
 
-- op: match_matrix_tensor
-  args: (Tensor x, Tensor y, Tensor w, int dim_t=1)
-  output: Tensor(out), Tensor(tmp)
-  infer_meta:
-     func: MatchMatrixTensorInferMeta
-  kernel:
-     func: match_matrix_tensor
-  backward: match_matrix_tensor_grad
-
 - op: lars_momentum
   args: (Tensor param,  Tensor velocity, Tensor grad, Tensor learning_rate, Tensor master_param, float mu, float lars_coeff=0.001f, float[] lars_weight_decay={0.0005}, float epsilon=0, bool multi_precision=false, float rescale_grad=1.0f)
   output: Tensor(param_out), Tensor(velocity_out), Tensor(master_param_out)
@@ -1500,6 +1491,15 @@
     data_type: param
   optional: master_param, master_param_out
 
+- op: match_matrix_tensor
+  args: (Tensor x, Tensor y, Tensor w, int dim_t=1)
+  output: Tensor(out), Tensor(tmp)
+  infer_meta:
+     func: MatchMatrixTensorInferMeta
+  kernel:
+     func: match_matrix_tensor
+  backward: match_matrix_tensor_grad
+
 - op: nce
   args: (Tensor input, Tensor label, Tensor weight, Tensor bias, Tensor sample_weight, Tensor custom_dist_probs, Tensor custom_dist_alias, Tensor custom_dist_alias_probs, int num_total_classes, int[] custom_neg_classes={}, int num_neg_samples=10, int sampler=0, int seed=0, bool is_sparse=false, bool remote_prefetch=false, bool is_test=false)
   output: Tensor(cost), Tensor(sample_logits), Tensor(sample_labels)