def testBooleanScatterUpdate(self):
var = variables.Variable([True, False])
update0 = state_ops.batch_scatter_update(var, [1], [True])
update1 = state_ops.batch_scatter_update(
var, constant_op.constant([0], dtype=dtypes.int64), [False])
self.evaluate(variables.variables_initializer([var]))
self.evaluate([update0, update1])
self.assertAllEqual([False, True], self.evaluate(var))
def testBooleanScatterUpdate(self):
with self.test_session(use_gpu=False) as session:
var = variables.Variable([True, False])
update0 = state_ops.batch_scatter_update(var, [1], [True])
update1 = state_ops.batch_scatter_update(
var, constant_op.constant([0], dtype=dtypes.int64), [False])
var.initializer.run()
session.run([update0, update1])
self.assertAllEqual([False, True], var.eval())
def testBooleanScatterUpdate(self):
with self.test_session(use_gpu=False) as session:
var = variables.Variable([True, False])
update0 = state_ops.batch_scatter_update(var, [1], [True])
update1 = state_ops.batch_scatter_update(
var, constant_op.constant(
[0], dtype=dtypes.int64), [False])
var.initializer.run()
session.run([update0, update1])
self.assertAllEqual([False, True], var.eval())
def testScatterOutOfRange(self):
params = np.array([1, 2, 3, 4, 5, 6]).astype(np.float32)
updates = np.array([-3, -4, -5]).astype(np.float32)
ref = variables.Variable(params)
self.evaluate(variables.variables_initializer([ref]))
# Indices all in range, no problem.
indices = np.array([2, 0, 5])
self.evaluate(state_ops.batch_scatter_update(ref, indices, updates))
# Test some out of range errors.
indices = np.array([-1, 0, 5])
with self.assertRaisesOpError(
r'indices\[0\] = \[-1\] does not index into shape \[6\]'):
self.evaluate(state_ops.batch_scatter_update(ref, indices, updates))
indices = np.array([2, 0, 6])
with self.assertRaisesOpError(r'indices\[2\] = \[6\] does not index into '
r'shape \[6\]'):
self.evaluate(state_ops.batch_scatter_update(ref, indices, updates))
def testScatterOutOfRange(self):
params = np.array([1, 2, 3, 4, 5, 6]).astype(np.float32)
updates = np.array([-3, -4, -5]).astype(np.float32)
with self.test_session(use_gpu=False):
ref = variables.Variable(params)
ref.initializer.run()
# Indices all in range, no problem.
indices = np.array([2, 0, 5])
state_ops.batch_scatter_update(ref, indices, updates).eval()
# Test some out of range errors.
indices = np.array([-1, 0, 5])
with self.assertRaisesOpError(
r'indices\[0\] = \[-1\] does not index into shape \[6\]'):
state_ops.batch_scatter_update(ref, indices, updates).eval()
indices = np.array([2, 0, 6])
with self.assertRaisesOpError(r'indices\[2\] = \[6\] does not index into '
r'shape \[6\]'):
state_ops.batch_scatter_update(ref, indices, updates).eval()