Update on "[quant][fix] Fix quant type classification for float_qpara…

…m qconfig"

Summary:
also renamed float_qparam_dynamic_qconfig to float_qparam_weight_only_qconfig
It's not used in user code yet so we only need to update the tests.

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Differential Revision: [D25010175](https://our.internmc.facebook.com/intern/diff/D25010175)

[ghstack-poisoned]

torch/quantization/qconfig.py

@@ -67,8 +67,11 @@ def __new__(cls, activation=torch.nn.Identity, weight=torch.nn.Identity):
 per_channel_dynamic_qconfig = QConfigDynamic(activation=default_dynamic_quant_observer,
                                              weight=default_per_channel_weight_observer)
 
-float_qparams_weight_only_qconfig = QConfig(activation=default_placeholder_observer,
-                                            weight=default_float_qparams_observer)
+# TODO: this is weight only quant, change this to QConfigWeightOnly
+# or remove the QConfigDynamic later
+float_qparams_weight_only_qconfig = QConfigDynamic(
+    activation=default_placeholder_observer,
+    weight=default_float_qparams_observer)
 
 default_qat_qconfig = QConfig(activation=default_fake_quant,
                               weight=default_weight_fake_quant)