NXP backend: Remove optimization in prune_quantize_operators.py (#13409)

### Summary
Remove unnecessary optimization in prune_quantize_operators.py in IR
optimizer.

### Test plan
All tests where a subgraph is delegated to Neutron.

Author: roman-janik-nxp

backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_quantize_operators.py

@@ -29,10 +29,6 @@
 from executorch.backends.nxp.backend.ir.tflite_optimizer.optimizations.permute_fully_connected_weights_after_reshape import (
     PermuteFullyConnectedWeightsAfterReshape,
 )
-from executorch.backends.nxp.backend.ir.tflite_optimizer.optimizations.prune_quantize_operators import (
-    FuseParallelQuantizeOperators,
-    PruneQuantizeOperators,
-)
 from executorch.backends.nxp.backend.ir.tflite_optimizer.optimizations.prune_transpose_operators import (
     FuseTransposeOperators,
     RemoveIdentityTransposeOperators,
@@ -50,9 +46,6 @@ class Optimization(Enum):
     FUSE_TRANSPOSE_OPERATORS = 5
     REMOVE_IDENTITY_TRANSPOSE_OPERATORS = 6
 
-    PRUNE_QUANTIZE_OPERATORS = 7
-    FUSE_PARALLEL_QUANTIZE_OPERATORS = 8
-
     REMOVE_UNUSED_TENSORS = 10
     PERMUTE_FULLY_CONNECTED_WEIGHTS_AFTER_RESHAPE = 12
 
@@ -102,12 +95,6 @@ def __init__(
             Optimization.REMOVE_IDENTITY_TRANSPOSE_OPERATORS: RemoveIdentityTransposeOperators(
                 builder, conversion_config
             ),
-            Optimization.PRUNE_QUANTIZE_OPERATORS: PruneQuantizeOperators(
-                builder, conversion_config
-            ),
-            Optimization.FUSE_PARALLEL_QUANTIZE_OPERATORS: FuseParallelQuantizeOperators(
-                builder, conversion_config
-            ),
             Optimization.REMOVE_UNUSED_TENSORS: RemoveUnusedTensorsAndBuffers(
                 builder, conversion_config
             ),