title: Translating Conv1D Layer from pytorch to tensorflow/keras
body: <p>I want to create an equal keras layer from this source:</p>
  <pre><code>Layer=torch.nn.Conv1d(in_features, out_features, 1)
  </code></pre>
  <p>My Input is shaped (Batch_size,Channel,Width)
  This Layer is compiled to:</p>
  <pre><code>Conv1d(10, 256, kernel_size=(1,), stride=(1,))
  </code></pre>
  <p>By pytorch.
  How can I express this Layer in tensorflow?
  I have so far this:</p>
  <pre><code>layer1 = tf.keras.layers.Conv1D(in_features-out_features+1, kernel_size=1)
  </code></pre>
  <p>But I am not confident that this will is the right approach.</p>