本文整理汇总了Python中tensorflow.python.ops.resource_variable_ops.read_variable_op函数的典型用法代码示例。如果您正苦于以下问题：Python read_variable_op函数的具体用法？Python read_variable_op怎么用？Python read_variable_op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read_variable_op函数的20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: testManyAssigns
def testManyAssigns(self):
with self.test_session() as session:
handle = resource_variable_ops.var_handle_op(dtype=dtypes.int32, shape=[])
create = resource_variable_ops.assign_variable_op(handle, constant_op.constant(1, dtype=dtypes.int32))
with ops.control_dependencies([create]):
first_read = resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32)
with ops.control_dependencies([first_read]):
write = resource_variable_ops.assign_variable_op(handle, constant_op.constant(2, dtype=dtypes.int32))
with ops.control_dependencies([write]):
second_read = resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32)
f, s = session.run([first_read, second_read])
self.assertEqual(f, 1)
self.assertEqual(s, 2)
开发者ID:kdavis-mozilla，项目名称:tensorflow，代码行数:13，代码来源:resource_variable_ops_test.py
示例2: testSharedName
def testSharedName(self):
v = resource_variable_ops.ResourceVariable(300.0, name="var4")
self.evaluate(variables.global_variables_initializer())
w = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="var4")
w_read = resource_variable_ops.read_variable_op(w, v.dtype.base_dtype)
self.assertEqual(300.0, self.evaluate(w_read))
x = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="var5")
with self.assertRaisesOpError("Resource .*/var5/.* does not exist"):
x_read = resource_variable_ops.read_variable_op(x, v.dtype.base_dtype)
self.evaluate(x_read)
开发者ID:1000sprites，项目名称:tensorflow，代码行数:14，代码来源:resource_variable_ops_test.py
示例3: testSharedName
def testSharedName(self):
with self.test_session():
v = resource_variable_ops.ResourceVariable(300.0, name="var1")
v.initializer.run()
w = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="var1")
w_read = resource_variable_ops.read_variable_op(w, v.dtype.base_dtype)
self.assertEqual(300.0, w_read.eval())
x = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="var1/")
x_read = resource_variable_ops.read_variable_op(x, v.dtype.base_dtype)
with self.assertRaisesOpError("Resource .*/var1//.* does not exist"):
_ = x_read.eval()
开发者ID:piyushjaiswal98，项目名称:tensorflow，代码行数:15，代码来源:resource_variable_ops_test.py
示例4: testCreateRead
def testCreateRead(self):
handle = resource_variable_ops.var_handle_op(dtype=dtypes.int32, shape=[])
self.evaluate(resource_variable_ops.assign_variable_op(
handle, constant_op.constant(1, dtype=dtypes.int32)))
value = self.evaluate(
resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32))
self.assertAllEqual(1, value)
开发者ID:aeverall，项目名称:tensorflow，代码行数:7，代码来源:resource_variable_ops_test.py
示例5: testAssignAdd
def testAssignAdd(self):
with self.test_session():
handle = resource_variable_ops.var_handle_op(dtype=dtypes.int32, shape=[])
resource_variable_ops.assign_variable_op(handle, constant_op.constant(1, dtype=dtypes.int32)).run()
resource_variable_ops.assign_add_variable_op(handle, constant_op.constant(1, dtype=dtypes.int32)).run()
read = resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32)
self.assertEqual(read.eval(), 2)
开发者ID:kdavis-mozilla，项目名称:tensorflow，代码行数:7，代码来源:resource_variable_ops_test.py
示例6: testReadVariableDtypeMismatchEager
def testReadVariableDtypeMismatchEager(self):
with context.eager_mode():
handle = resource_variable_ops.var_handle_op(
dtype=dtypes.int32, shape=[1], name="foo")
with self.assertRaisesRegexp(errors.InvalidArgumentError,
"Trying to read variable with wrong dtype. "
"Expected float got int32."):
_ = resource_variable_ops.read_variable_op(handle, dtype=dtypes.float32)
开发者ID:AbhinavJain13，项目名称:tensorflow，代码行数:8，代码来源:resource_variable_ops_test.py
示例7: testCreateRead
def testCreateRead(self):
with self.test_session():
handle = resource_variable_ops.var_handle_op(dtype=dtypes.int32, shape=[])
resource_variable_ops.assign_variable_op(
handle, constant_op.constant(1, dtype=dtypes.int32)).run()
value = resource_variable_ops.read_variable_op(
handle, dtype=dtypes.int32).eval()
self.assertAllEqual(1, value)
开发者ID:AutumnQYN，项目名称:tensorflow，代码行数:8，代码来源:resource_variable_ops_test.py
示例8: testSharedName
def testSharedName(self):
with self.cached_session():
v = resource_variable_ops.ResourceVariable(300.0, name="var4")
variables.global_variables_initializer().run()
w = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="var4",
# Needed in Eager since we get a unique container name by default.
container=ops.get_default_graph()._container)
w_read = resource_variable_ops.read_variable_op(w, v.dtype.base_dtype)
self.assertEqual(300.0, self.evaluate(w_read))
x = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="var5",
container=ops.get_default_graph()._container)
with self.assertRaisesOpError("Resource .*/var5/.* does not exist"):
resource_variable_ops.read_variable_op(x, v.dtype.base_dtype).eval()
开发者ID:aeverall，项目名称:tensorflow，代码行数:17，代码来源:resource_variable_ops_test.py
示例9: testSharedNameWithNamescope
def testSharedNameWithNamescope(self):
with ops.name_scope("foo"):
v = resource_variable_ops.ResourceVariable(300.0, name="var3")
self.evaluate(variables.global_variables_initializer())
w = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="foo/var3")
w_read = resource_variable_ops.read_variable_op(w, v.dtype.base_dtype)
self.assertEqual(300.0, self.evaluate(w_read))
开发者ID:chdinh，项目名称:tensorflow，代码行数:9，代码来源:resource_variable_ops_test.py
示例10: testScatterAdd
def testScatterAdd(self):
handle = resource_variable_ops.var_handle_op(
dtype=dtypes.int32, shape=[1, 1])
self.evaluate(resource_variable_ops.assign_variable_op(
handle, constant_op.constant([[1]], dtype=dtypes.int32)))
self.evaluate(resource_variable_ops.resource_scatter_add(
handle, [0], constant_op.constant([[2]], dtype=dtypes.int32)))
read = resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32)
self.assertEqual(self.evaluate(read), [[3]])
开发者ID:AbhinavJain13，项目名称:tensorflow，代码行数:9，代码来源:resource_variable_ops_test.py
示例11: testReturnMultipleResourceHandles
def testReturnMultipleResourceHandles(self):
with self.test_scope():
v1 = resource_variable_ops.ResourceVariable(1.25)
v2 = resource_variable_ops.ResourceVariable(2.0)
def f(v):
return v.handle, 3.0 * v, v2.handle, v + v2
f = function.defun(f)
v1_handle, v1_times_3, v2_handle, variable_sum = f(v1)
self.assertAllEqual(v1.numpy(),
resource_variable_ops.read_variable_op(
v1_handle, dtypes.float32).numpy())
self.assertEqual(3.75, v1_times_3.numpy())
self.assertAllEqual(v2.numpy(),
resource_variable_ops.read_variable_op(
v2_handle, dtypes.float32).numpy())
self.assertEqual(3.25, variable_sum.numpy())
开发者ID:JonathanRaiman，项目名称:tensorflow，代码行数:18，代码来源:eager_test.py
示例12: testScatterAdd
def testScatterAdd(self):
with self.test_session():
handle = resource_variable_ops.var_handle_op(dtype=dtypes.int32, shape=[1, 1])
resource_variable_ops.assign_variable_op(handle, constant_op.constant([[1]], dtype=dtypes.int32)).run()
resource_variable_ops.resource_scatter_add(
handle, [0], constant_op.constant([[2]], dtype=dtypes.int32)
).run()
read = resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32)
self.assertEqual(read.eval(), [[3]])
开发者ID:kdavis-mozilla，项目名称:tensorflow，代码行数:9，代码来源:resource_variable_ops_test.py
示例13: testAssignAdd
def testAssignAdd(self):
handle = resource_variable_ops.var_handle_op(dtype=dtypes.int32, shape=[])
self.evaluate(resource_variable_ops.assign_variable_op(
handle, constant_op.constant(1, dtype=dtypes.int32)))
self.evaluate(resource_variable_ops.assign_add_variable_op(
handle, constant_op.constant(1, dtype=dtypes.int32)))
read = self.evaluate(
resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32))
self.assertEqual(read, 2)
开发者ID:aeverall，项目名称:tensorflow，代码行数:9，代码来源:resource_variable_ops_test.py
示例14: testSharedNameWithNamescope
def testSharedNameWithNamescope(self):
with self.test_session():
with ops.name_scope("foo"):
v = resource_variable_ops.ResourceVariable(300.0, name="var1")
v.initializer.run()
w = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="foo/var1")
w_read = resource_variable_ops.read_variable_op(w, v.dtype.base_dtype)
self.assertEqual(300.0, w_read.eval())
开发者ID:piyushjaiswal98，项目名称:tensorflow，代码行数:10，代码来源:resource_variable_ops_test.py
示例15: testSharedName
def testSharedName(self):
v = resource_variable_ops.ResourceVariable(300.0, name="var1")
self.evaluate(variables.global_variables_initializer())
w = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="var1")
w_read = resource_variable_ops.read_variable_op(w, v.dtype.base_dtype)
self.assertEqual(300.0, self.evaluate(w_read))
x = resource_variable_ops.var_handle_op(
dtype=v.dtype.base_dtype, shape=v.get_shape(), shared_name="var2")
if context.in_graph_mode():
with self.assertRaisesOpError("Resource .*/var2/.* does not exist"):
x_read = resource_variable_ops.read_variable_op(x, v.dtype.base_dtype)
self.evaluate(x_read)
else:
with self.assertRaisesRegexp(errors.NotFoundError,
"Attempted to read a nonexistent variable."):
_ = resource_variable_ops.read_variable_op(x, v.dtype.base_dtype)
开发者ID:chdinh，项目名称:tensorflow，代码行数:19，代码来源:resource_variable_ops_test.py
示例16: testScatterUpdateString
def testScatterUpdateString(self):
handle = resource_variable_ops.var_handle_op(
dtype=dtypes.string, shape=[1, 1])
self.evaluate(resource_variable_ops.assign_variable_op(
handle, constant_op.constant([["a"]], dtype=dtypes.string)))
self.evaluate(resource_variable_ops.resource_scatter_update(
handle, [0], constant_op.constant([["b"]], dtype=dtypes.string)))
read = resource_variable_ops.read_variable_op(handle, dtype=dtypes.string)
self.assertEqual(compat.as_bytes(self.evaluate(read)[0][0]),
compat.as_bytes("b"))
开发者ID:aeverall，项目名称:tensorflow，代码行数:10，代码来源:resource_variable_ops_test.py
示例17: testScatterDiv
def testScatterDiv(self):
with self.test_session() as sess, self.test_scope():
handle = resource_variable_ops.var_handle_op(
dtype=dtypes.int32, shape=[1, 1])
sess.run(
resource_variable_ops.assign_variable_op(
handle, constant_op.constant([[6]], dtype=dtypes.int32)))
sess.run(
resource_variable_ops.resource_scatter_div(
handle, [0], constant_op.constant([[3]], dtype=dtypes.int32)))
read = resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32)
self.assertAllEqual(sess.run(read), [[2]])
开发者ID:AnishShah，项目名称:tensorflow，代码行数:12，代码来源:variable_ops_test.py
示例18: testReturnResourceHandle
def testReturnResourceHandle(self):
with self.test_scope():
v = resource_variable_ops.ResourceVariable([[1.0, 2.0], [3.0, 4.0]])
def f(v):
return v.handle
f = function.defun(f)
handle = f(v)
self.assertAllEqual(v.numpy(),
resource_variable_ops.read_variable_op(
handle, dtypes.float32).numpy())
开发者ID:JonathanRaiman，项目名称:tensorflow，代码行数:12，代码来源:eager_test.py
示例19: testScatterSub
def testScatterSub(self):
with self.test_session() as sess, self.test_scope():
handle = resource_variable_ops.var_handle_op(
dtype=dtypes.int32, shape=[2, 1])
sess.run(
resource_variable_ops.assign_variable_op(
handle, constant_op.constant([[4], [1]], dtype=dtypes.int32)))
sess.run(
resource_variable_ops.resource_scatter_sub(
handle, [1], constant_op.constant([[2]], dtype=dtypes.int32)))
read = resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32)
self.assertAllEqual(self.evaluate(read), [[4], [-1]])
开发者ID:Albert-Z-Guo，项目名称:tensorflow，代码行数:12，代码来源:variable_ops_test.py
示例20: testScatterMaxScalar
def testScatterMaxScalar(self):
with self.test_session() as sess, self.test_scope():
handle = resource_variable_ops.var_handle_op(
dtype=dtypes.int32, shape=[1, 1])
sess.run(
resource_variable_ops.assign_variable_op(
handle, constant_op.constant([[6]], dtype=dtypes.int32)))
sess.run(
resource_variable_ops.resource_scatter_max(
handle, [0], constant_op.constant(3, dtype=dtypes.int32)))
read = resource_variable_ops.read_variable_op(handle, dtype=dtypes.int32)
self.assertEqual(self.evaluate(read), [[6]])
开发者ID:Albert-Z-Guo，项目名称:tensorflow，代码行数:12，代码来源:variable_ops_test.py
注：本文中的tensorflow.python.ops.resource_variable_ops.read_variable_op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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