code: def testMultiplePlaceholdersWithNames(self):
      placeholder_context = trace_type.InternalPlaceholderContext(
          ops.get_default_graph()
      )
      spec1 = tensor.TensorSpec([1, 2], np.float32, name="test1")
      spec2 = tensor.TensorSpec([3], np.int32, name="test2")
      spec3 = tensor.TensorSpec(None, np.float32, name="test3")
      placeholder1 = spec1.placeholder_value(placeholder_context)
      placeholder2 = spec2.placeholder_value(placeholder_context)
      placeholder3 = spec3.placeholder_value(placeholder_context)
      self.assertEqual(placeholder1.name, f"{spec1.name}:0")
      self.assertEqual(placeholder2.name, f"{spec2.name}:0")
      self.assertEqual(placeholder3.name, f"{spec3.name}:0")
      self.assertEqual(placeholder1.dtype, spec1.dtype)
      self.assertEqual(placeholder2.dtype, spec2.dtype)
      self.assertEqual(placeholder3.dtype, spec3.dtype)
      self.assertEqual(placeholder1.shape, spec1.shape)
      self.assertEqual(placeholder2.shape, spec2.shape)
      self.assertEqual(placeholder3.shape, spec3.shape)
  
imports: import pickle
  from absl.testing import parameterized
  import numpy
  from tensorflow.core.framework import full_type_pb2
  from tensorflow.core.function import trace_type
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework import type_spec
  from tensorflow.python.framework.type_utils import fulltypes_for_flat_tensors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 24 for calling the TensorSpecTest obj's underlying member method code with example usage: obj.testMultiplePlaceholdersWithNames() without return types