code: def test_pointwise_config(strategy):
      model = tf.keras.models.Sequential()
      input_shape = (8, 8, 3)
      model.add(
          Conv2D(
              filters=8,
              kernel_size=(1, 1),
              input_shape=input_shape,
              kernel_initializer="normal",
              use_bias=False,
              name="conv2d_1x1",
          )
      )
  
      model.compile(optimizer="adam", loss="mse")
  
      config = hls4ml.utils.config_from_keras_model(
          model, granularity="name"
      )
      config["Model"]["Strategy"] = strategy
      config["LayerName"]["conv2d_1x1"][
          "Strategy"
      ] = strategy  # Will fail if the strategy is not lowercase
      output_dir = str(
          test_root_path / f"hls4mlprj_pointwise2d_config_{strategy}"
      )
  
      hls_model = hls4ml.converters.convert_from_keras_model(
          model, hls_config=config, output_dir=output_dir
      )
      # Model will fail to compile if strategy was set incorrectly
      hls_model.compile()
  
file_path: hls4ml/test/pytest/test_pointwiseconv.py
imports: from pathlib import Path
  import numpy
  import pytest
  import tensorflow
  from tensorflow.keras.layers import Conv1D, Conv2D
  import hls4ml
label_desc: Use image node_id 3 for calling a global function with example usage: test_pointwise_config(strategy) without return types