本文整理汇总了Python中object_detection.utils.ops.matmul_gather_on_zeroth_axis方法的典型用法代码示例。如果您正苦于以下问题：Python ops.matmul_gather_on_zeroth_axis方法的具体用法？Python ops.matmul_gather_on_zeroth_axis怎么用？Python ops.matmul_gather_on_zeroth_axis使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类object_detection.utils.ops的用法示例。
在下文中一共展示了ops.matmul_gather_on_zeroth_axis方法的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，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_gather_2d
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import matmul_gather_on_zeroth_axis [as 别名]
def test_gather_2d(self):
def graph_fn(params, indices):
return ops.matmul_gather_on_zeroth_axis(params, indices)
params = np.array([[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[0, 1, 0, 0]], dtype=np.float32)
indices = np.array([2, 2, 1], dtype=np.int32)
expected_output = np.array([[9, 10, 11, 12], [9, 10, 11, 12], [5, 6, 7, 8]])
gather_output = self.execute(graph_fn, [params, indices])
self.assertAllClose(gather_output, expected_output) 示例2: test_gather_3d
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import matmul_gather_on_zeroth_axis [as 别名]
def test_gather_3d(self):
def graph_fn(params, indices):
return ops.matmul_gather_on_zeroth_axis(params, indices)
params = np.array([[[1, 2], [3, 4]],
[[5, 6], [7, 8]],
[[9, 10], [11, 12]],
[[0, 1], [0, 0]]], dtype=np.float32)
indices = np.array([0, 3, 1], dtype=np.int32)
expected_output = np.array([[[1, 2], [3, 4]],
[[0, 1], [0, 0]],
[[5, 6], [7, 8]]])
gather_output = self.execute(graph_fn, [params, indices])
self.assertAllClose(gather_output, expected_output) 示例3: test_gather_with_many_indices
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import matmul_gather_on_zeroth_axis [as 别名]
def test_gather_with_many_indices(self):
def graph_fn(params, indices):
return ops.matmul_gather_on_zeroth_axis(params, indices)
params = np.array([[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[0, 1, 0, 0]], dtype=np.float32)
indices = np.array([0, 0, 0, 0, 0, 0], dtype=np.int32)
expected_output = np.array(6*[[1, 2, 3, 4]])
gather_output = self.execute(graph_fn, [params, indices])
self.assertAllClose(gather_output, expected_output) 示例4: test_gather_with_dynamic_shape_input
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import matmul_gather_on_zeroth_axis [as 别名]
def test_gather_with_dynamic_shape_input(self):
params_placeholder = tf.placeholder(tf.float32, shape=[None, 4])
indices_placeholder = tf.placeholder(tf.int32, shape=[None])
gather_result = ops.matmul_gather_on_zeroth_axis(
params_placeholder, indices_placeholder)
params = np.array([[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[0, 1, 0, 0]], dtype=np.float32)
indices = np.array([0, 0, 0, 0, 0, 0])
expected_output = np.array(6*[[1, 2, 3, 4]])
with self.test_session() as sess:
gather_output = sess.run(gather_result, feed_dict={
params_placeholder: params, indices_placeholder: indices})
self.assertAllClose(gather_output, expected_output) 示例5: test_gather_2d
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import matmul_gather_on_zeroth_axis [as 别名]
def test_gather_2d(self):
def graph_fn(params, indices):
return ops.matmul_gather_on_zeroth_axis(params, indices)
params = np.array([[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[0, 1, 0, 0]], dtype=np.float32)
indices = np.array([2, 2, 1])
expected_output = np.array([[9, 10, 11, 12], [9, 10, 11, 12], [5, 6, 7, 8]])
gather_output = self.execute(graph_fn, [params, indices])
self.assertAllClose(gather_output, expected_output) 示例6: test_gather_3d
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import matmul_gather_on_zeroth_axis [as 别名]
def test_gather_3d(self):
def graph_fn(params, indices):
return ops.matmul_gather_on_zeroth_axis(params, indices)
params = np.array([[[1, 2], [3, 4]],
[[5, 6], [7, 8]],
[[9, 10], [11, 12]],
[[0, 1], [0, 0]]], dtype=np.float32)
indices = np.array([0, 3, 1])
expected_output = np.array([[[1, 2], [3, 4]],
[[0, 1], [0, 0]],
[[5, 6], [7, 8]]])
gather_output = self.execute(graph_fn, [params, indices])
self.assertAllClose(gather_output, expected_output) 示例7: test_gather_with_many_indices
# 需要导入模块: from object_detection.utils import ops [as 别名]
# 或者: from object_detection.utils.ops import matmul_gather_on_zeroth_axis [as 别名]
def test_gather_with_many_indices(self):
def graph_fn(params, indices):
return ops.matmul_gather_on_zeroth_axis(params, indices)
params = np.array([[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[0, 1, 0, 0]], dtype=np.float32)
indices = np.array([0, 0, 0, 0, 0, 0])
expected_output = np.array(6*[[1, 2, 3, 4]])
gather_output = self.execute(graph_fn, [params, indices])
self.assertAllClose(gather_output, expected_output)