提交 381bacaa 编写于 作者: F fengjiayi

Fix piecewise_decay and fix a unittest error

上级 982d4230
......@@ -277,7 +277,6 @@ def piecewise_decay(boundaries, values):
global_step = _decay_step_counter()
with init_on_cpu():
lr = tensor.create_global_var(
shape=[1],
value=0.0,
......@@ -288,15 +287,16 @@ def piecewise_decay(boundaries, values):
with control_flow.Switch() as switch:
for i in range(len(boundaries)):
boundary_val = tensor.fill_constant(
shape=[1], dtype='float32', value=float(boundaries[i]))
shape=[1],
dtype='float32',
value=float(boundaries[i]),
force_cpu=True)
value_var = tensor.fill_constant(
shape=[1], dtype='float32', value=float(values[i]))
with switch.case(global_step < boundary_val):
tensor.assign(value_var, lr)
last_value_var = tensor.fill_constant(
shape=[1],
dtype='float32',
value=float(values[len(values) - 1]))
shape=[1], dtype='float32', value=float(values[len(values) - 1]))
with switch.default():
tensor.assign(last_value_var, lr)
......
......@@ -91,20 +91,21 @@ class TestLearningRateDecay(unittest.TestCase):
def check_decay_with_place(self, place, python_decay_fn, fluid_decay_fn,
kwargs):
main_prog = fluid.Program()
startup_prog = fluid.Program()
with fluid.program_guard(main_prog, startup_prog):
decayed_lr = fluid_decay_fn(**kwargs)
place = fluid.CPUPlace()
exe = fluid.Executor(place)
exe.run(fluid.default_startup_program())
exe.run(startup_prog)
fluid.memory_optimize(fluid.default_main_program())
# fluid.memory_optimize(main_prog)
for step in range(10):
lr_val, = exe.run(fluid.default_main_program(),
feed={},
fetch_list=[decayed_lr])
lr_val, = exe.run(main_prog, feed={}, fetch_list=[decayed_lr])
python_decayed_lr = python_decay_fn(
global_step=float(step), **kwargs)
self.assertAlmostEqual(
......
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