[LANG] EQ/NE operators support for StringImm expressions

python/tvm/expr.py

@@ -349,6 +349,16 @@ def __init__(self, value):
         self.__init_handle_by_constructor__(
             _make.StringImm, value)
 
+    def __eq__(self, other):
+        if isinstance(other, ConstExpr):
+            return self.value == other.value
+        return self.value == other
+
+    def __ne__(self, other):
+        if isinstance(other, ConstExpr):
+            return self.value != other.value
+        return self.value != other
+
 
 @register_node
 class Cast(Expr):

python/tvm/relay/quantize/quantize.py

@@ -22,7 +22,6 @@
 from . import _quantize
 from .. import expr as _expr
 from .. import ir_pass as _ir_pass
-from .. import transform as _transform
 from .. import op as _op
 from ... import make as _make
 from ..base import NodeBase, register_relay_node
@@ -301,8 +300,6 @@ def optimize(func, params=None):
                   "FoldConstant",
                   "CanonicalizeOps"]
 
-    cfg = _transform.build_config(required_pass=opt_passes)
-
     if params:
         name_dict = {}
         for arg in func.params:
@@ -321,25 +318,25 @@ def optimize(func, params=None):
             bind_dict[arg] = _expr.const(v)
         func = _expr.bind(func, bind_dict)
 
-    if "SimplifyInference" in cfg.required_pass:
+    if "SimplifyInference" in opt_passes:
         func = _ir_pass.infer_type(func)
         func = _ir_pass.simplify_inference(func)
 
-    if "FoldConstant" in cfg.required_pass:
+    if "FoldConstant" in opt_passes:
         func = _ir_pass.fold_constant(func)
 
-    if "FoldScaleAxis" in cfg.required_pass:
+    if "FoldScaleAxis" in opt_passes:
         func = _ir_pass.infer_type(func)
         func = _ir_pass.backward_fold_scale_axis(func)
         func = _ir_pass.infer_type(func)
         func = _ir_pass.forward_fold_scale_axis(func)
         func = _ir_pass.fold_constant(func)
 
-    if "CanonicalizeOps" in cfg.required_pass:
+    if "CanonicalizeOps" in opt_passes:
         func = _ir_pass.infer_type(func)
         func = _ir_pass.canonicalize_ops(func)
 
-    if "FoldConstant" in cfg.required_pass:
+    if "FoldConstant" in opt_passes:
         func = _ir_pass.fold_constant(func)
 
     return func

src/relay/op/type_relations.cc

@@ -108,8 +108,8 @@ bool BroadcastRel(const Array<Type>& types,
                   const Attrs& attrs,
                   const TypeReporter& reporter) {
   CHECK_EQ(types.size(), 3);
-  DLOG(INFO) << "In1:" << types[0] << ",In2:" << types[1]
-                  << ",Out:" << types[2] << std::endl;
+  // DLOG(INFO) << "In1:" << types[0] << ",In2:" << types[1]
+  //                 << ",Out:" << types[2] << std::endl;
   if (auto t0 = ToTensorType(types[0])) {
     if (auto t1 = ToTensorType(types[1])) {
       CHECK_EQ(t0->dtype, t1->dtype);
@@ -126,8 +126,8 @@ bool BroadcastCompRel(const Array<Type>& types,
                       const Attrs& attrs,
                       const TypeReporter& reporter) {
   CHECK_EQ(types.size(), 3);
-  DLOG(INFO) << "In1:" << types[0] << ",In2:" << types[1]
-                  << ",Out:" << types[2] << std::endl;
+  // DLOG(INFO) << "In1:" << types[0] << ",In2:" << types[1]
+  //                 << ",Out:" << types[2] << std::endl;
   if (auto t0 = ToTensorType(types[0])) {
     if (auto t1 = ToTensorType(types[1])) {
       CHECK_EQ(t0->dtype, t1->dtype);

tests/python/unittest/test_lang_basic.py

@@ -163,6 +163,14 @@ def test_equality():
     d = (c != c)
     assert not d
 
+
+def test_equality_string_imm():
+    x = 'a'
+    y = tvm.make.StringImm(x)
+    x == y.value
+    x == y
+
+
 if __name__ == "__main__":
     test_cast()
     test_attr()
@@ -178,3 +186,4 @@ def test_equality():
     test_all()
     test_bitwise()
     test_equality()
+    test_equality_string_imm()

tests/python/unittest/test_lang_container.py

@@ -65,9 +65,16 @@ def test_map_save_load_json():
     assert(dd == {"a": 2, "b": 3})
 
 
+def test_in_container():
+    arr = tvm.convert(['a', 'b', 'c'])
+    assert 'a' in arr
+    assert tvm.make.StringImm('a') in arr
+    assert 'd' not in arr
+
 if __name__ == "__main__":
     test_str_map()
     test_array()
     test_map()
     test_array_save_load_json()
     test_map_save_load_json()
+    test_in_container()