fix(misc): some fixes to make faster_rcnn run in no-symbolic-trace

GitOrigin-RevId: 0fc40ad9c8

imperative/python/megengine/core/tensor/indexing.py

@@ -234,15 +234,10 @@ def setitem(tensor, index, value):
     try_result = try_condtake(tensor, index)
     if len(try_result) == 2:
         index = try_result[1]
-        if index.shape[0] == 0:
-            return tensor
         tensor = tensor.reshape(-1)
     if not isinstance(value, Tensor):
         (value,) = Const(value, dtype=tensor.dtype, device=tensor.device)()
     tensor, tensors, items, use_subtensor, _ = unpack_getitem(tensor, index)
-    for v in tensors:
-        if len(v.shape) > 0 and v.shape[0] == 0:
-            return tensor
     if use_subtensor:
         op = builtin.Subtensor(items=items)
     else:
@@ -250,19 +245,17 @@ def setitem(tensor, index, value):
 
     (tmp_result,) = apply(op, tensor, *tensors)
 
-    # XXX: broadcast can always be applied even if shapes are equal
-    if make_shape_tuple(value.shape) != make_shape_tuple(tmp_result.shape):
-        for i in range(min(len(value.shape), len(tmp_result.shape))):
-            if (
-                value.shape[-i - 1] != 1
-                and value.shape[-i - 1] != tmp_result.shape[-i - 1]
-            ):
-                raise ValueError(
-                    "cannot copy tensor with shape {} to subtensor with shape {}".format(
-                        value.shape, tmp_result.shape
-                    )
+    for i in range(min(len(value.shape), len(tmp_result.shape))):
+        if (value.shape[-i - 1] != 1) & (
+            value.shape[-i - 1] != tmp_result.shape[-i - 1]
+        ):
+            raise ValueError(
+                "cannot copy tensor with shape {} to subtensor with shape {}".format(
+                    value.shape, tmp_result.shape
                 )
-        value = value._broadcast(tmp_result.shape)
+            )
+    value = value._broadcast(tmp_result.shape)
+
     if use_subtensor:
         op = builtin.SetSubtensor(items=items)
     else:

imperative/python/megengine/functional/tensor.py

@@ -644,12 +644,7 @@ def where(mask: Tensor, x: Tensor, y: Tensor) -> Tensor:
     v0, index0 = cond_take(mask, x)
     v1, index1 = cond_take(~mask, y)
 
-    if v0.shape == (0,):
-        out = v1
-    elif v1.shape == (0,):
-        out = v0
-    else:
-        out = concat([v0, v1])
+    out = concat([v0, v1])
 
     out[index0] = v0
     out[index1] = v1

imperative/src/impl/proxy_graph.cpp

@@ -85,7 +85,8 @@ public:
         var->m_comp_node = dev_tensor.comp_node();
         var->m_shape = dev_tensor.shape();
         var->m_dev_tensor = dev_tensor;
-        var->reset_dev_tensor_from_tensor(dev_tensor);
+        var->m_mem_plan.reset_from_owner_var().chunk()
+                .mem_alloc_status.set_from_owner_var();
         return var;
     }
 
@@ -560,7 +561,11 @@ void ProxyGraph::init_output_tensor(const SmallVector<Tensor*>& outputs) {
             mgb_assert(var->comp_node() == tensor->comp_node() &&
                         var->shape().eq_shape(layout) &&
                         var->dtype() == layout.dtype);
-            var->assign_dev_tensor_from_tensor(tensor->dev_tensor());
+            if (!tensor->layout().is_empty()) {
+                var->assign_dev_tensor_from_tensor(tensor->dev_tensor());
+            } else {
+                var->m_dev_tensor.storage({var->comp_node()});
+            }
             ++ j;
         }
         chk.mem_alloc_status.set_from_owner_var();

src/opr/impl/indexing.cpp

@@ -365,6 +365,9 @@ WARN(IndexingIncrMultiAxisVec);
 
 template <class Opr>
 void IndexingMultiAxisVecBase<Opr>::scn_do_execute() {
+    if (output(0)->layout().is_empty()) {
+        return;
+    }
     auto inp = input(0)->dev_tensor();
     inp = inp.sub(fancy_indexing_make_sub_spec(inp.layout()));
     auto &&index_desc = make_megdnn_index_desc(

src/opr/impl/internal/identical_fwd.cpp

@@ -81,6 +81,11 @@ void ReadonlyFwdHelper::mixin_rofwd_init_mem_plan(OperatorNodeBase &opr) {
 void ReadonlyFwdHelper::mixin_rofwd_execute(OperatorNodeBase &opr) {
     mgb_assert(m_rofwd_subspec.layout().ndim, "rofwd uninitialized");
 
+    if (m_rofwd_subspec.layout().is_empty()) {
+        mgb_assert(opr.output(0)->shape().is_empty(), "output layout mismatch");
+        return;
+    }
+
     auto &&out = opr.output(0)->dev_tensor(),
          &&inp = opr.input(0)->dev_tensor();
     if (m_mem_fwd_success) {