Fixed setting a qp per tensor using the encoder parameter qp_per_tens…

…or. The encoder crashed when using this parameter.

README.md

@@ -57,7 +57,7 @@ source env/bin/activate
 
 **Note**: For further information on how to set up a virtual python environment (also on **Windows**) refer to https://docs.python.org/3/library/venv.html .
 
-When successfully installed, the software outputs the line : "Successfully installed NNC-0.1.4"
+When successfully installed, the software outputs the line : "Successfully installed NNC-0.1.5"
 
 ### Importing the main module
 

nnc_core/approximator/__init__.py

@@ -539,9 +539,9 @@ def __init__(
  else:
  self.approx_info["qp"][x] = qp if model_info["parameter_type"][x] in nnc_core.nnr_model.W_TYPES else self.qp_other
  if qp_per_tensor is not None:
- assert type(qp_per_tensor) is dict(), "qp_per_tensor must be a dict!" 
+ assert type(qp_per_tensor) is dict, "qp_per_tensor must be a dict!" 
  for x in approx_data["parameters"]:
- approx_data["parameters"][x] = qp_per_tensor.get(x, approx_data["parameters"][x])
+ self.approx_info["qp"][x] = qp_per_tensor.get(x, self.approx_info["qp"][x])
  if opt_qp:
  self._modify_qp(approx_data, model_info)
 

setup.py

@@ -49,7 +49,7 @@
 from setuptools.command.build_ext import build_ext
 import setuptools
 
-__version__ = '0.1.4'
+__version__ = '0.1.5'
 
 
 class get_pybind_include(object):