fix bmm op bugs in static mode with dynamic shape (#56135)

paddle/phi/infermeta/binary.cc

@@ -271,27 +271,27 @@ void BmmInferMeta(const MetaTensor& x, const MetaTensor& y, MetaTensor* out) {
                         "Input(Y) of BmmOp must be 3-dimensional in BmmOp, "
                         "but received Y's shape: [%s].",
                         y_ndims));
-  PADDLE_ENFORCE_EQ(
+  std::vector<int64_t> dim_out;
+  auto cal_shape_fn = [](int64_t x, int64_t y, const std::string& error_str) {
+    if (x == -1) {
+      return y;
+    } else if (y == -1) {
+      return x;
+    }
+    PADDLE_ENFORCE_EQ(x, y, phi::errors::InvalidArgument(error_str, x, y));
+    return x;
+  };
+  cal_shape_fn(x_dims[2],
+               y_dims[1],
+               "Input(X)'s width must be equal with Input(Y)'s height in BmmOp,"
+               "but receive X's width: [%s],"
+               "Y's height: [%s].");
+  dim_out.push_back(cal_shape_fn(
       x_dims[0],
       y_dims[0],
-      phi::errors::InvalidArgument(
       "Input(X) and Input(Y) must have the same batch size in BmmOp, "
       "but received X's batch size: [%s],"
-          "Y's batch size [%s]",
-          x_dims[0],
-          y_dims[0]));
-  PADDLE_ENFORCE_EQ(
-      x_dims[2],
-      y_dims[1],
-      phi::errors::InvalidArgument(
-          "Input(X)'s width must be equal with Input(Y)'s height in BmmOp,"
-          "but receive X's width: [%s],"
-          "Y's height: [%s].",
-          x_dims[2],
-          y_dims[1]));
-
-  std::vector<int64_t> dim_out;
-  dim_out.push_back(x_dims[0]);
+      "Y's batch size [%s]"));
   dim_out.push_back(x_dims[1]);
   dim_out.push_back(y_dims[2]);
   out->set_dims(phi::make_ddim(dim_out));

python/paddle/tensor/linalg.py

@@ -1593,13 +1593,13 @@ def bmm(x, y, name=None):
                     x_shape, y_shape
                 )
             )
-        if x_shape[2] != y_shape[1]:
+        if x_shape[2] != -1 and y_shape[1] != -1 and x_shape[2] != y_shape[1]:
             raise ValueError(
                 "x's width must be equal with y's height. But received x's shape: {}, y's shape: {}".format(
                     x_shape, y_shape
                 )
             )
-        if x_shape[0] != y_shape[0]:
+        if x_shape[0] != -1 and y_shape[0] != -1 and x_shape[0] != y_shape[0]:
             raise ValueError(
                 "x's batch (shape[0]) must be equal with y's batch (shape[0]). But received x's shape: {}, y's shape: {}".format(
                     x_shape, y_shape