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Python array_ops.parallel_stack函数代码示例

原作者: [db:作者] 来自: [db:来源] 收藏 邀请

本文整理汇总了Python中tensorflow.python.ops.array_ops.parallel_stack函数的典型用法代码示例。如果您正苦于以下问题:Python parallel_stack函数的具体用法?Python parallel_stack怎么用?Python parallel_stack使用的例子?那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。



在下文中一共展示了parallel_stack函数的7个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于我们的系统推荐出更棒的Python代码示例。

示例1: testConst

  def testConst(self):
    np.random.seed(7)
    with self.test_session(use_gpu=True):
      for shape in (2,), (3,), (2, 3), (3, 2), (4, 3, 2):
        data = np.random.randn(*shape).astype(np.float32)
        # Pack back into a single tensorflow tensor directly using np array
        c = array_ops.stack(data)
        # This is implemented via a Const:
        self.assertEqual(c.op.type, "Const")
        self.assertAllEqual(c.eval(), data)

        c = array_ops.parallel_stack(data)
        self.assertAllEqual(c.eval(), data)

        # Python lists also work for 1-D case:
        if len(shape) == 1:
          data_list = list(data)
          cl = array_ops.stack(data_list)
          self.assertEqual(cl.op.type, "Const")
          self.assertAllEqual(cl.eval(), data)

          cl = array_ops.parallel_stack(data_list)
          self.assertAllEqual(cl.eval(), data)

      # Verify that shape induction works with shapes produced via const stack
      a = constant_op.constant([1, 2, 3, 4, 5, 6])
      b = array_ops.reshape(a, array_ops.stack([2, 3]))
      self.assertAllEqual(b.get_shape(), [2, 3])
开发者ID:AlbertXiebnu,项目名称:tensorflow,代码行数:28,代码来源:stack_op_test.py


示例2: testConstParallelGPU

  def testConstParallelGPU(self):
    np.random.seed(7)
    with self.session(use_gpu=True):
      for shape in (2,), (3,), (2, 3), (3, 2), (4, 3, 2):
        data = np.random.randn(*shape).astype(np.float32)
        if len(shape) == 1:
          data_list = list(data)
          cl = array_ops.parallel_stack(data_list)
          self.assertAllEqual(cl.eval(), data)

        data = np.random.randn(*shape).astype(np.float32)
        c = array_ops.parallel_stack(data)
        self.assertAllEqual(c.eval(), data)
开发者ID:Wajih-O,项目名称:tensorflow,代码行数:13,代码来源:stack_op_test.py


示例3: testSimpleParallelGPU

 def testSimpleParallelGPU(self):
   np.random.seed(7)
   with self.session(use_gpu=True):
     for shape in (2,), (3,), (2, 3), (3, 2), (4, 3, 2):
       data = np.random.randn(*shape).astype(np.float32)
       xs = list(map(constant_op.constant, data))
       c = array_ops.parallel_stack(xs)
       self.assertAllEqual(c.eval(), data)
开发者ID:Wajih-O,项目名称:tensorflow,代码行数:8,代码来源:stack_op_test.py


示例4: testAxis0Default

  def testAxis0Default(self):
    with self.test_session(use_gpu=True):
      t = [constant_op.constant([1, 2, 3]), constant_op.constant([4, 5, 6])]
      stacked = array_ops.stack(t).eval()
      parallel_stacked = array_ops.parallel_stack(t).eval()

    self.assertAllEqual(stacked, np.array([[1, 2, 3], [4, 5, 6]]))
    self.assertAllEqual(parallel_stacked, np.array([[1, 2, 3], [4, 5, 6]]))
开发者ID:LiorPe,项目名称:tensorflow,代码行数:8,代码来源:stack_op_test.py


示例5: testAxis0DefaultCPU

  def testAxis0DefaultCPU(self):
    with self.session(use_gpu=False):
      t = [constant_op.constant([1, 2, 3]), constant_op.constant([4, 5, 6])]
      stacked = array_ops.stack(t).eval()
      parallel_stacked = array_ops.parallel_stack(t).eval()

    expected = np.array([[1, 2, 3], [4, 5, 6]])
    self.assertAllEqual(stacked, expected)
    self.assertAllEqual(parallel_stacked, expected)
开发者ID:Wajih-O,项目名称:tensorflow,代码行数:9,代码来源:stack_op_test.py


示例6: testZeroSizeGPU

  def testZeroSizeGPU(self):
    # Verify that stack doesn't crash for zero size inputs
    with self.session(use_gpu=True):
      for shape in (0,), (3, 0), (0, 3):
        x = np.zeros((2,) + shape).astype(np.int32)
        p = array_ops.stack(list(x)).eval()
        self.assertAllEqual(p, x)

        p = array_ops.parallel_stack(list(x)).eval()
        self.assertAllEqual(p, x)
开发者ID:Wajih-O,项目名称:tensorflow,代码行数:10,代码来源:stack_op_test.py


示例7: testSimple

  def testSimple(self):
    np.random.seed(7)
    with self.test_session(use_gpu=True):
      for shape in (2,), (3,), (2, 3), (3, 2), (4, 3, 2):
        data = np.random.randn(*shape)
        # Convert [data[0], data[1], ...] separately to tensorflow
        # TODO(irving): Remove list() once we handle maps correctly
        xs = list(map(constant_op.constant, data))
        # Pack back into a single tensorflow tensor
        c = array_ops.stack(xs)
        self.assertAllEqual(c.eval(), data)

        c = array_ops.parallel_stack(xs)
        self.assertAllEqual(c.eval(), data)
开发者ID:AlbertXiebnu,项目名称:tensorflow,代码行数:14,代码来源:stack_op_test.py



注:本文中的tensorflow.python.ops.array_ops.parallel_stack函数示例由纯净天空整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。


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