Remove assert on zero_point dtype of quantize/dequantize op (#6475)

torch_xla/experimental/quantized.py

@@ -50,9 +50,15 @@ def _check_scale_zp(input, scale, zero_point, axis, dtype):
   # The followings are checked:
   # 1. scale, zp are 1D tensor.
   # 2. Lenghth of scale, zp matched the (de)quant dim.
-  # 3. zp dtype is the same as the quantized integer type.
+  # 3. dtype must be integer type
+  # 4. zero_point values must be within the range of dtype.
   assert len(scale.shape) == 1 and len(zero_point.shape) == 1
-  assert zero_point.dtype == dtype
+  assert 'int' in str(dtype)
+  assert torch.equal(
+      zero_point,
+      torch.clamp(zero_point,
+                  torch.iinfo(dtype).min,
+                  torch.iinfo(dtype).max))
   if axis == -1:
     assert scale.numel() == 1 and zero_point.numel() == 1
   else: