code: def test_sepconv1d(
      conv1d, chans, padds, strides, kernels, bias, io_type, backend
  ):
      model = tf.keras.models.Sequential()
      input_shape = (28, 3)
      model.add(
          conv1d(
              filters=32,
              kernel_size=kernels,
              strides=strides,
              padding=padds,
              input_shape=input_shape,
              kernel_initializer="normal",
              use_bias=bias,
              data_format=chans,
          )
      )
  
      model.compile(optimizer="adam", loss="mse")
      X_input = np.random.rand(100, *input_shape)
      keras_prediction = model.predict(X_input)
      config = hls4ml.utils.config_from_keras_model(
          model, default_precision="ap_fixed<32,16>"
      )
      stride_cfg = (
          str(strides)
          .replace(", ", "_")
          .replace("(", "")
          .replace(")", "")
      )
      kernel_cfg = (
          str(kernels)
          .replace(", ", "_")
          .replace("(", "")
          .replace(")", "")
      )
      output_dir = str(
          test_root_path
          / "hls4mlprj_{}_{}_strides_{}_kernels_{}_{}_padding_{}_{}".format(
              conv1d.__name__.lower(),
              chans,
              stride_cfg,
              kernel_cfg,
              padds,
              backend,
              io_type,
          )
      )
      hls_model = hls4ml.converters.convert_from_keras_model(
          model,
          hls_config=config,
          output_dir=output_dir,
          io_type=io_type,
          backend=backend,
      )
      hls_model.compile()
      hls_prediction = hls_model.predict(X_input).reshape(
          keras_prediction.shape
      )
  
      np.testing.assert_allclose(
          hls_prediction, keras_prediction, rtol=0, atol=0.001
      )
  
imports: from pathlib import Path
  import numpy
  import pytest
  import tensorflow
  from tensorflow.keras.layers import SeparableConv1D
  import hls4ml
label_desc: Use image node_id 1 for calling a global function with example usage: test_sepconv1d(conv1d, chans, padds, strides, kernels, bias, io_type, backend) without return types