Remove redundant infershape in linear chain crf grad, test=develop (#20629)

paddle/fluid/operators/linear_chain_crf_op.cc

@@ -242,60 +242,14 @@ class LinearChainCRFGradOp : public framework::OperatorWithKernel {
                    "Input(LogLikelihood@GRAD) shoudl be not null.");
 
     auto transition_exps_dims = ctx->GetInputDim("TransitionExps");
-    PADDLE_ENFORCE_EQ(transition_exps_dims.size(), 2,
-                      "The Input(TransitionExps) should be a 2-D tensor.");
-    bool check = true;
-    if ((!ctx->IsRuntime()) &&
-        (transition_exps_dims[0] <= 0 || transition_exps_dims[1] <= 0)) {
-      check = false;
-    }
-    if (check) {
-      PADDLE_ENFORCE_EQ(
-          transition_exps_dims[0] - 2, transition_exps_dims[1],
-          "An invalid dimension for the Input(TransitionExps), which should "
-          "be a 2-D tensor with shape [(D + 2) x D].");
-    }
-
     auto emission_exps_dims = ctx->GetInputDim("EmissionExps");
-    auto label_dims = ctx->GetInputDim("Label");
-    if (ctx->HasInput("Length")) {
-      PADDLE_ENFORCE_EQ(emission_exps_dims.size(), 3,
-                        "The Input(EmissionExps) should be a 3-D tensor.");
-      PADDLE_INFERSHAPE_ENFORCE_EQ(
-          ctx, emission_exps_dims[2], transition_exps_dims[1],
-          "The 3nd dimension of the Input(EmissionExps) and the "
-          "Input(TransitionExps) should be equal to the tag number.");
-      PADDLE_ENFORCE_EQ(label_dims.size(), 3,
-                        "The Input(Label) should be a 3-D tensor with the 3nd "
-                        "dimensions fixed to 1.");
-    } else {
-      PADDLE_ENFORCE_EQ(emission_exps_dims.size(), 2,
-                        "The Input(EmissionExps) should be a 2-D tensor.");
-      PADDLE_INFERSHAPE_ENFORCE_EQ(
-          ctx, emission_exps_dims[1], transition_exps_dims[1],
-          "The 2nd dimension of the Input(EmissionExps) and the "
-          "Input(TransitionExps) should be equal to the tag number.");
-      PADDLE_ENFORCE_EQ(label_dims.size(), 2,
-                        "The Input(Label) should be a 2-D tensor");
-      PADDLE_ENFORCE_EQ(label_dims[1], 1,
-                        "The Input(Label) 2nd dimensions fixed to 1.");
-    }
-    PADDLE_ENFORCE_NE(emission_exps_dims[0], 0,
-                      "An empty mini-batch is not allowed.");
-
-    PADDLE_INFERSHAPE_ENFORCE_EQ(
-        ctx, emission_exps_dims[0], label_dims[0],
-        "The height of Input(EmissionExps) and the height of Input(Label) "
-        "should be the same.");
-
     if (ctx->HasOutput(framework::GradVarName("Emission"))) {
       ctx->SetOutputDim(framework::GradVarName("Emission"), emission_exps_dims);
       if (ctx->HasInput("Length") == false) {
         ctx->ShareLoD("Emission", framework::GradVarName("Emission"));
       }
     }
-    // ctx->SetOutputDim(framework::GradVarName("Emission"),
-    // emission_exps_dims);
+
     if (ctx->HasOutput(framework::GradVarName("Transition"))) {
       ctx->SetOutputDim(framework::GradVarName("Transition"),
                         transition_exps_dims);