            pip install -r ./requirements/requirements_${{ matrix.backend }}.txt
        - name: Lint with flake8
          run: |
            # stop the build if there are Python syntax errors or undefined names
            flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
            # exit-zero treats all errors as warnings.
            flake8 . --count --exit-zero --max-complexity=10 --max-line-length=100 --statistics
        - name: Simple Tests
          run: |
            if [ "${{ matrix.backend }}" == "amd" ] ; then echo "{\"PLAIDML_DEVICE_IDS\":[\"llvm_cpu.0\"],\"PLAIDML_EXPERIMENTAL\":true}" > ~/.plaidml; fi ;
 
</s> remove           flake8 . --count --exit-zero --max-complexity=10 --max-line-length=100 --statistics
 </s> add           flake8 . --exit-zero </s> remove     def _set_loss(self):
 </s> add     def _set_loss(self) -> None:
        # pylint:disable=line-too-long </s> remove         self.add_item(
            section=section,
            title="l2_reg_term",
            datatype=int,
            group="loss",
            min_max=(0, 400),
            rounding=1,
            default=100,
            info="The amount of L2 Regularization to apply as a penalty to Structural Similarity "
                 "loss functions.\n\nNB: You should only adjust this if you know what you are "
                 "doing!\n\n"
                 "L2 regularization applies a penalty term to the given Loss function. This "
                 "penalty will only be applied if SSIM, MS-SSIM or GMSD is selected for the main "
                 "loss function, otherwise it is ignored."
                 "\n\nThe value given here is as a percentage weight of the main loss function. "
                 "For example:"
                 "\n\t 100 - Will give equal weighting to the main loss and the penalty function. "
                 "\n\t 25 - Will give the penalty function 1/4 of the weight of the main loss "
                 "function. "
                 "\n\t 400 - Will give the penalty function 4x as much importance as the main "
                 "loss function."
                 "\n\t 0 - Disables L2 Regularization altogether.")
 </s> add 
          flake8 . --select=E9,F63,F7,F82 --show-source
            pip install -r ./requirements/requirements_${{ matrix.backend }}.txt
        - name: Lint with flake8
          run: |
            # stop the build if there are Python syntax errors or undefined names
          flake8 . --select=E9,F63,F7,F82 --show-source
            # exit-zero treats all errors as warnings.
            flake8 . --count --exit-zero --max-complexity=10 --max-line-length=100 --statistics
        - name: Simple Tests
          run: |
            if [ "${{ matrix.backend }}" == "amd" ] ; then echo "{\"PLAIDML_DEVICE_IDS\":[\"llvm_cpu.0\"],\"PLAIDML_EXPERIMENTAL\":true}" > ~/.plaidml; fi ;
keep keep keep keep replace keep keep keep keep keep
 Training updates
  - Add multiple selected loss functions
  - Unlock loss as a model configuration
  - Phaze-A remove encoder scaling max xap 
.github/workflows/pytest.yml