code: def test_reshape_with_zero(self, compute_unit, backend):
      t = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32)
      input_placeholders = {"x": mb.placeholder(shape=t.shape)}
      input_values = {"x": t}
  
      def build(x):
          return [
              mb.reshape(x=x, shape=[0, -1]),
              mb.reshape(x=x, shape=[0, 3]),
              mb.reshape(x=x, shape=[-1, 0]),
          ]
  
      expected_output_types = [
          (2, 3, types.fp32),
          (2, 3, types.fp32),
          (2, 3, types.fp32),
      ]
      expected_outputs = [
          np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32),
          np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32),
          np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32),
      ]
  
      run_compare_builder(
          build,
          input_placeholders,
          input_values,
          expected_output_types,
          expected_outputs,
          compute_unit=compute_unit,
          backend=backend,
      )
  
file_path: coremltools/coremltools/converters/mil/mil/ops/tests/iOS15/test_tensor_transformation.py
imports: import itertools
  import numpy
  import pytest
  import coremltools
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.mil.ops.tests.iOS15 import backends
  from coremltools.converters.mil.mil.ops.tests.testing_utils import mark_api_breaking, run_compare_builder
  from coremltools.converters.mil.testing_reqs import compute_units
label_desc: Use image node_id 1 for calling the TestReshape obj's underlying member method code with example usage: obj.test_reshape_with_zero(compute_unit, backend) and returns: list