NXP backend: Remove optimization in fuse_quanitze_into_preceding_ops.py (#13372)

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

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

cc @digantdesai @JakeStevens @robert-kalmar @Pop-korn

Author: roman-janik-nxp

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

@@ -23,9 +23,6 @@
 from executorch.backends.nxp.backend.ir.tflite_optimizer.optimizations.fuse_fully_connected_and_add_operators import (
     FuseFullyConnectedAndAddOperators,
 )
-from executorch.backends.nxp.backend.ir.tflite_optimizer.optimizations.fuse_quanitze_into_preceding_ops import (
-    FuseQuantizeIntoPrecedingOps,
-)
 from executorch.backends.nxp.backend.ir.tflite_optimizer.optimizations.keep_one_empty_buffer import (
     KeepOneEmptyBuffer,
 )
@@ -69,7 +66,6 @@ class Optimization(Enum):
 
     PRUNE_QUANTIZE_OPERATORS = 7
     FUSE_PARALLEL_QUANTIZE_OPERATORS = 8
-    FUSE_QUANTIZE_INTO_PRECEDING_OPS = 9
 
     REMOVE_UNUSED_TENSORS = 10
     ELIMINATE_DEAD_BRANCHES = 11
@@ -136,9 +132,6 @@ def __init__(
             Optimization.FUSE_PARALLEL_QUANTIZE_OPERATORS: FuseParallelQuantizeOperators(
                 builder, conversion_config
             ),
-            Optimization.FUSE_QUANTIZE_INTO_PRECEDING_OPS: FuseQuantizeIntoPrecedingOps(
-                builder, conversion_config
-            ),
             Optimization.REMOVE_UNUSED_TENSORS: RemoveUnusedTensorsAndBuffers(
                 builder, conversion_config
             ),