fix(imperative/src): fix empty_tensor bug of convbwd&rng

GitOrigin-RevId: 4c948f41f04649620ce7b34c5f3dac69d66705e2

imperative/src/impl/ops/convolution.cpp

@@ -354,8 +354,8 @@ std::tuple<SmallVector<LogicalTensorDesc>, bool> infer_output_attrs_fallible(
     TensorLayout diff = inputs[1].layout;
     size_t filter_ndim = filter.ndim;
     size_t diff_ndim = diff.ndim;
-    if (filter_ndim == 0) {
-        desc.layout = filter;
+    if (diff_ndim == 0) {
+        desc.layout = diff;
         return {dests, false};
     }
 

imperative/src/impl/ops/rng.cpp

@@ -548,6 +548,7 @@ Output apply_on_var_node(const OpDef& def, const VarNodeArray& inputs) {
 template <typename Op>
 std::tuple<SmallVector<LogicalTensorDesc>, bool> infer_output_attrs_fallible(
         const OpDef& def, const SmallVector<LogicalTensorDesc>& inputs) {
+    bool success = inputs[0].layout.ndim != 0;
     LogicalTensorDesc dest;
     auto&& xxx_rng_def = def.cast_final_safe<Op>();
     size_t nr_inp = inputs.size();
@@ -558,7 +559,11 @@ std::tuple<SmallVector<LogicalTensorDesc>, bool> infer_output_attrs_fallible(
                 xxx_rng_def.dyn_typeinfo()->name, nr_inp);
     }
     dest.comp_node = inputs[0].comp_node;
-    dest.layout = _InferLayout<rng_with_shape>::do_infer(inputs[0], xxx_rng_def);
+    if (success) {
+        dest.layout = _InferLayout<rng_with_shape>::do_infer(inputs[0], xxx_rng_def);
+    } else {
+        dest.layout = TensorLayout(inputs[0].layout.dtype);
+    }
     return {{dest}, inputs[0].layout.ndim != 0};
 }