Python ops.IndexedSlicesValue方法代碼示例

本文整理匯總了Python中tensorflow.python.framework.ops.IndexedSlicesValue方法的典型用法代碼示例。如果您正苦於以下問題：Python ops.IndexedSlicesValue方法的具體用法？Python ops.IndexedSlicesValue怎麽用？Python ops.IndexedSlicesValue使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.framework.ops的用法示例。

在下文中一共展示了ops.IndexedSlicesValue方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: _get_indexed_slices_value_from_fetches

# 需要導入模塊: from tensorflow.python.framework import ops [as 別名]
# 或者: from tensorflow.python.framework.ops import IndexedSlicesValue [as 別名]
def _get_indexed_slices_value_from_fetches(fetched_vals):
  return ops.IndexedSlicesValue(fetched_vals[0], fetched_vals[1],
                                fetched_vals[2]
                                if len(fetched_vals) == 3 else None)

開發者ID:ryfeus，項目名稱:lambda-packs，代碼行數:6，代碼來源:session.py

示例2: testFetchIndexedSlices

# 需要導入模塊: from tensorflow.python.framework import ops [as 別名]
# 或者: from tensorflow.python.framework.ops import IndexedSlicesValue [as 別名]
def testFetchIndexedSlices(self):
    with session.Session() as s:
      indices = np.array([[3, 2, 0], [4, 5, 1]]).astype(np.int64)
      values = np.array([1.0, 2.0]).astype(np.float32)
      dense_shape = np.array([7, 9, 2]).astype(np.int64)
      ind = ops.IndexedSlices(
          constant_op.constant(values), constant_op.constant(indices),
          constant_op.constant(dense_shape))
      # Single fetch, use as tuple
      ind_out = s.run(ind)
      values_out, indices_out, dense_shape_out = ind_out
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      self.assertAllEqual(dense_shape_out, dense_shape)
      # Single fetch, use as IndexedSlicesValue
      ind_out = s.run(ind)
      self.assertAllEqual(ind_out.values, values)
      self.assertAllEqual(ind_out.indices, indices)
      self.assertAllEqual(ind_out.dense_shape, dense_shape)
      # Tuple fetch, use as tuple
      values_out, indices_out, dense_shape_out = s.run(ind)
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      self.assertAllEqual(dense_shape_out, dense_shape)
      # List fetch, use as tuple
      (values_out, indices_out, dense_shape_out), = s.run([ind])
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      self.assertAllEqual(dense_shape_out, dense_shape)
      # List fetch, use as IndexedSlicesValue
      ind_out, = s.run([ind])
      self.assertAllEqual(ind_out.values, values)
      self.assertAllEqual(ind_out.indices, indices)
      self.assertAllEqual(ind_out.dense_shape, dense_shape)

開發者ID:tobegit3hub，項目名稱:deep_image_model，代碼行數:36，代碼來源:session_test.py

示例3: testFeedIndexedSlices

# 需要導入模塊: from tensorflow.python.framework import ops [as 別名]
# 或者: from tensorflow.python.framework.ops import IndexedSlicesValue [as 別名]
def testFeedIndexedSlices(self):
    with session.Session() as s:
      values = np.array([1.0, 2.0]).astype(np.float32)
      indices = np.array([[3, 2, 0], [4, 5, 1]]).astype(np.int64)
      dense_shape = np.array([7, 9, 2]).astype(np.int64)
      ind = ops.IndexedSlices(
          array_ops.placeholder(dtype=np.float32,
                                shape=(2,)),
          array_ops.placeholder(dtype=np.int64,
                                shape=(2, 3)),
          array_ops.placeholder(dtype=np.int64,
                                shape=(3,)),)
      ind_values = array_ops.identity(ind.values)
      ind_indices = array_ops.identity(ind.indices)
      ind_dense_shape = array_ops.identity(ind.dense_shape)
      ind2 = ops.IndexedSlices(ind_values, ind_indices, ind_dense_shape)
      # Feed with tuple
      values_out, indices_out, dense_shape_out = s.run(
          [ind_values, ind_indices, ind_dense_shape],
          {ind: (values, indices, dense_shape)})
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      self.assertAllEqual(dense_shape_out, dense_shape)
      # Feed with IndexedSlicesValue
      values_out, indices_out, dense_shape_out = s.run(
          [ind_values, ind_indices, ind_dense_shape],
          {ind: ops.IndexedSlicesValue(values, indices, dense_shape)})
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      self.assertAllEqual(dense_shape_out, dense_shape)
      # Feed with IndexedSlicesValue, fetch IndexedSlicesValue
      ind2_out = s.run(ind2, {ind: ops.IndexedSlicesValue(values, indices,
                                                          dense_shape)})
      self.assertAllEqual(ind2_out.values, values)
      self.assertAllEqual(ind2_out.indices, indices)
      self.assertAllEqual(ind2_out.dense_shape, dense_shape)

開發者ID:tobegit3hub，項目名稱:deep_image_model，代碼行數:38，代碼來源:session_test.py

示例4: testFetchIndexedSlicesWithoutDenseShape

# 需要導入模塊: from tensorflow.python.framework import ops [as 別名]
# 或者: from tensorflow.python.framework.ops import IndexedSlicesValue [as 別名]
def testFetchIndexedSlicesWithoutDenseShape(self):
    with session.Session() as s:
      indices = np.array([[3, 2, 0], [4, 5, 1]]).astype(np.int64)
      values = np.array([1.0, 2.0]).astype(np.float32)
      dense_shape = None
      ind = ops.IndexedSlices(
          constant_op.constant(values), constant_op.constant(indices), None)
      # Single fetch, use as tuple
      ind_out = s.run(ind)
      values_out, indices_out, dense_shape_out = ind_out
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      self.assertAllEqual(dense_shape_out, dense_shape)
      # Single fetch, use as IndexedSlicesValue
      ind_out = s.run(ind)
      self.assertAllEqual(ind_out.values, values)
      self.assertAllEqual(ind_out.indices, indices)
      self.assertAllEqual(ind_out.dense_shape, dense_shape)
      # Tuple fetch, use as tuple
      values_out, indices_out, dense_shape_out = s.run(ind)
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      self.assertAllEqual(dense_shape_out, dense_shape)
      # List fetch, use as tuple
      (values_out, indices_out, dense_shape_out), = s.run([ind])
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      self.assertAllEqual(dense_shape_out, dense_shape)
      # List fetch, use as IndexedSlicesValue
      ind_out, = s.run([ind])
      self.assertAllEqual(ind_out.values, values)
      self.assertAllEqual(ind_out.indices, indices)
      self.assertAllEqual(ind_out.dense_shape, dense_shape)

開發者ID:tobegit3hub，項目名稱:deep_image_model，代碼行數:35，代碼來源:session_test.py

示例5: testFeedIndexedSlicesWithoutDenseShape

# 需要導入模塊: from tensorflow.python.framework import ops [as 別名]
# 或者: from tensorflow.python.framework.ops import IndexedSlicesValue [as 別名]
def testFeedIndexedSlicesWithoutDenseShape(self):
    with session.Session() as s:
      values = np.array([1.0, 2.0]).astype(np.float32)
      indices = np.array([[3, 2, 0], [4, 5, 1]]).astype(np.int64)
      dense_shape = None
      ind = ops.IndexedSlices(
          array_ops.placeholder(dtype=np.float32,
                                shape=(2,)),
          array_ops.placeholder(dtype=np.int64,
                                shape=(2, 3)),
          None)
      ind_values = array_ops.identity(ind.values)
      ind_indices = array_ops.identity(ind.indices)
      ind2 = ops.IndexedSlices(ind_values, ind_indices)
      # Feed with tuple
      values_out, indices_out = s.run(
          [ind_values, ind_indices], {ind: (values, indices)})
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      # Feed with IndexedSlicesValue
      values_out, indices_out = s.run(
          [ind_values, ind_indices],
          {ind: ops.IndexedSlicesValue(values, indices, dense_shape)})
      self.assertAllEqual(values_out, values)
      self.assertAllEqual(indices_out, indices)
      # Feed with IndexedSlicesValue, fetch IndexedSlicesValue
      ind2_out = s.run(ind2, {ind: ops.IndexedSlicesValue(values, indices,
                                                          dense_shape)})
      self.assertAllEqual(ind2_out.values, values)
      self.assertAllEqual(ind2_out.indices, indices)
      self.assertAllEqual(ind2_out.dense_shape, dense_shape)

開發者ID:tobegit3hub，項目名稱:deep_image_model，代碼行數:33，代碼來源:session_test.py

注：本文中的tensorflow.python.framework.ops.IndexedSlicesValue方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。