class_docstr: Utilities to manage information pertaining to quantization of tensors in a PyTorch graph.
docstr: Retrieves the information added via add_quantization_info, if applicable.
  Returns None if quantization parameters could not be found.
docstr_tok: ["Retrieves","the","information","added","via","add_quantization_info",",","if","applicable",".","Returns","None","if","quantization","parameters","could","not","be","found","."]
code: def get_quantization_info(self, name: str) -> None:
      """
      Retrieves the information added via add_quantization_info, if applicable.
      Returns None if quantization parameters could not be found.
      """
      if name not in self._quant_param_map:
          return None
      return self._quant_param_map[name]
  
imports: from collections import OrderedDict
  from typing import List, Optional, Union
  import numpy
  import torch
  from torch.jit._script import RecursiveScriptModule
  from coremltools import _logger
  from coremltools._deps import _HAS_TORCH_EXPORT_API
  from coremltools.converters.mil._deployment_compatibility import AvailableTarget
  from coremltools.converters.mil.input_types import ImageType, InputType, TensorType
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import Function, Placeholder, Program, types
  from coremltools.converters.mil.mil.types import is_float
  from coremltools.converters.mil.mil.var import Var
  from .._utils import get_output_names
  from .internal_graph import InternalTorchIRGraph, InternalTorchIRNode
  from .ops import TorchFrontend, convert_nodes
  from .quantization_ops import _dequantized_weight
  from .torch_op_registry import _TORCH_OPS_REGISTRY
  from .torchir_passes import flatten_graph_input_values, flatten_graph_output_values, generate_tensor_assignment_ops, remove_getattr_nodes, transform_inplace_ops
  from .torchscript_utils import torch_to_mil_types
label_desc: Use image node_id 3 for calling the QuantizationContext obj's underlying member method code with example usage: obj.get_quantization_info(name) and returns: self, None