本文整理汇总了Python中tensorflow.python.ops.sparse_ops.sparse_reset_shape函数的典型用法代码示例。如果您正苦于以下问题:Python sparse_reset_shape函数的具体用法?Python sparse_reset_shape怎么用?Python sparse_reset_shape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sparse_reset_shape函数的15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: testInvalidRank
def testInvalidRank(self):
with self.test_session(use_gpu=False):
sp_input = self._SparseTensor_2x5x6()
new_shape = np.array([3, 7], dtype=np.int64)
with self.assertRaises(ValueError):
sparse_ops.sparse_reset_shape(sp_input, new_shape)
开发者ID:govindap,项目名称:tensorflow,代码行数:7,代码来源:sparse_ops_test.py
示例2: testInvalidRank
def testInvalidRank(self):
with test_util.force_cpu():
sp_input = self._SparseTensor_2x5x6()
new_shape = np.array([3, 7], dtype=np.int64)
with self.assertRaises(ValueError):
sparse_ops.sparse_reset_shape(sp_input, new_shape)
开发者ID:Wajih-O,项目名称:tensorflow,代码行数:7,代码来源:sparse_ops_test.py
示例3: testInvalidDimensionSizeInputUnavailableInGraphConstruction
def testInvalidDimensionSizeInputUnavailableInGraphConstruction(self):
sp_input = array_ops.sparse_placeholder(dtype=dtypes.int32)
with self.test_session(use_gpu=False) as sess:
new_shape = np.array([3, 7, 5], dtype=np.int64)
out = sparse_ops.sparse_reset_shape(sp_input, new_shape)
with self.assertRaisesOpError("x <= y did not hold element-wise"):
sess.run(out, feed_dict={sp_input: self._SparseTensorValue_2x5x6()})
开发者ID:govindap,项目名称:tensorflow,代码行数:8,代码来源:sparse_ops_test.py
示例4: testInvalidDimensionSize
def testInvalidDimensionSize(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensor_2x5x6()
new_shape = np.array([3, 7, 5], dtype=np.int64)
out = sparse_ops.sparse_reset_shape(sp_input, new_shape)
with self.assertRaisesOpError("x <= y did not hold element-wise"):
sess.run(out)
开发者ID:govindap,项目名称:tensorflow,代码行数:8,代码来源:sparse_ops_test.py
示例5: testInvalidRankNewShapeUnavaibleInGraphConstruction
def testInvalidRankNewShapeUnavaibleInGraphConstruction(self):
with self.test_session(use_gpu=False) as sess:
new_shape = array_ops.placeholder(dtype=dtypes.int64)
sp_input = self._SparseTensor_2x5x6()
out = sparse_ops.sparse_reset_shape(sp_input, new_shape)
with self.assertRaisesOpError("x == y did not hold element-wise"):
sess.run(out, feed_dict={new_shape: np.array([3, 7], dtype=np.int64)})
开发者ID:govindap,项目名称:tensorflow,代码行数:8,代码来源:sparse_ops_test.py
示例6: testInvalidDimensionSizeDynamic
def testInvalidDimensionSizeDynamic(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensor_2x5x6()
new_shape = array_ops.placeholder(dtype=dtypes.int32)
out = sparse_ops.sparse_reset_shape(sp_input, new_shape)
with self.assertRaisesOpError("x <= y did not hold element-wise"):
sess.run(out, feed_dict={new_shape: [3, 7, 5]})
开发者ID:jon-sch,项目名称:tensorflow,代码行数:8,代码来源:sparse_ops_test.py
示例7: testTightBoundingBoxEmpty
def testTightBoundingBoxEmpty(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensor_2x5x6_Empty()
sp_output = sparse_ops.sparse_reset_shape(sp_input)
output = sess.run(sp_output)
self.assertAllEqual(output.indices.shape, [0, 3])
self.assertAllEqual(output.values.shape, [0])
self.assertAllEqual(output.dense_shape, [0, 0, 0])
开发者ID:HughKu,项目名称:tensorflow,代码行数:10,代码来源:sparse_ops_test.py
示例8: testTightBoundingBoxEmpty
def testTightBoundingBoxEmpty(self):
with test_util.force_cpu():
sp_input = self._SparseTensor_2x5x6_Empty()
sp_output = sparse_ops.sparse_reset_shape(sp_input)
output = self.evaluate(sp_output)
self.assertAllEqual(output.indices.shape, [0, 3])
self.assertAllEqual(output.values.shape, [0])
self.assertAllEqual(output.dense_shape, [0, 0, 0])
开发者ID:Wajih-O,项目名称:tensorflow,代码行数:10,代码来源:sparse_ops_test.py
示例9: testTightBoundingBox
def testTightBoundingBox(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensor_2x5x6()
sp_output = sparse_ops.sparse_reset_shape(sp_input)
output = sess.run(sp_output)
self.assertAllEqual(output.indices, [[0, 0, 0], [0, 1, 0], [0, 1, 3], [1, 1, 4], [1, 3, 2], [1, 3, 3]])
self.assertAllEqual(output.values, [0, 10, 13, 14, 32, 33])
self.assertAllEqual(output.shape, [2, 4, 5])
开发者ID:tongwang01,项目名称:tensorflow,代码行数:10,代码来源:sparse_ops_test.py
示例10: testTightBoundingBox
def testTightBoundingBox(self):
with test_util.force_cpu():
sp_input = self._SparseTensor_2x5x6()
sp_output = sparse_ops.sparse_reset_shape(sp_input)
output = self.evaluate(sp_output)
self.assertAllEqual(output.indices, [[0, 0, 0], [0, 1, 0], [0, 1, 3],
[1, 1, 4], [1, 3, 2], [1, 3, 3]])
self.assertAllEqual(output.values, [0, 10, 13, 14, 32, 33])
self.assertAllEqual(output.dense_shape, [2, 4, 5])
开发者ID:Wajih-O,项目名称:tensorflow,代码行数:11,代码来源:sparse_ops_test.py
示例11: testInputUnavaibleInGraphConstructionOk
def testInputUnavaibleInGraphConstructionOk(self):
with self.test_session(use_gpu=False) as sess:
sp_input = array_ops.sparse_placeholder(dtype=dtypes.int32)
new_shape = np.array([3, 6, 7], dtype=np.int64)
sp_output = sparse_ops.sparse_reset_shape(sp_input, new_shape)
output = sess.run(sp_output, feed_dict={sp_input: self._SparseTensorValue_2x5x6()})
self.assertAllEqual(output.indices, [[0, 0, 0], [0, 1, 0], [0, 1, 3], [1, 1, 4], [1, 3, 2], [1, 3, 3]])
self.assertAllEqual(output.values, [0, 10, 13, 14, 32, 33])
self.assertAllEqual(output.shape, [3, 6, 7])
开发者ID:tongwang01,项目名称:tensorflow,代码行数:11,代码来源:sparse_ops_test.py
示例12: testBasic
def testBasic(self):
with self.test_session(use_gpu=False) as sess:
sp_input = self._SparseTensor_2x5x6()
new_shape = np.array([3, 6, 7], dtype=np.int64)
sp_output = sparse_ops.sparse_reset_shape(sp_input, new_shape)
output = sess.run(sp_output)
self.assertAllEqual(output.indices, [[0, 0, 0], [0, 1, 0], [0, 1, 3], [1, 1, 4], [1, 3, 2], [1, 3, 3]])
self.assertAllEqual(output.values, [0, 10, 13, 14, 32, 33])
self.assertAllEqual(output.shape, [3, 6, 7])
开发者ID:tongwang01,项目名称:tensorflow,代码行数:11,代码来源:sparse_ops_test.py
示例13: testInputUnavailableInGraphConstructionOk
def testInputUnavailableInGraphConstructionOk(self):
with test_util.force_cpu():
sp_input = self._SparseTensorValue_2x5x6()
new_shape = np.array([3, 6, 7], dtype=np.int64)
sp_output = sparse_ops.sparse_reset_shape(sp_input, new_shape)
output = self.evaluate(sp_output)
self.assertAllEqual(output.indices, [[0, 0, 0], [0, 1, 0], [0, 1, 3],
[1, 1, 4], [1, 3, 2], [1, 3, 3]])
self.assertAllEqual(output.values, [0, 10, 13, 14, 32, 33])
self.assertAllEqual(output.dense_shape, [3, 6, 7])
开发者ID:Wajih-O,项目名称:tensorflow,代码行数:12,代码来源:sparse_ops_test.py
示例14: testInvalidDimensionSizeStatic
def testInvalidDimensionSizeStatic(self):
sp_input = self._SparseTensor_2x5x6()
new_shape = np.array([3, 7, 5], dtype=np.int64)
with self.assertRaisesRegexp(ValueError, "should have dimension sizes"):
sparse_ops.sparse_reset_shape(sp_input, new_shape)
开发者ID:jon-sch,项目名称:tensorflow,代码行数:6,代码来源:sparse_ops_test.py
示例15: testStaticShapeInfoPreservedWhenNewShapeIsProvidedAndStatic
def testStaticShapeInfoPreservedWhenNewShapeIsProvidedAndStatic(self):
sp_input = self._SparseTensor_2x5x6()
new_shape = np.array([3, 6, 7], dtype=np.int64)
sp_output = sparse_ops.sparse_reset_shape(sp_input, new_shape)
self.assertAllEqual([3, 6, 7], sp_output.get_shape())
开发者ID:jon-sch,项目名称:tensorflow,代码行数:5,代码来源:sparse_ops_test.py
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