experiments/STT-tensorflow
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Boosted Trees: delay switching to version 2 cond (even when running in v1).

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This is breaking some tests. Delaying until we have a fix.

PiperOrigin-RevId: 257199240
This commit is contained in:
Peter Buchlovsky 2019-07-09 08:36:17 -07:00 committed by TensorFlower Gardener
parent f425b028ad
commit 8305f9319f
1 changed files with 5 additions and 5 deletions
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10
tensorflow/python/ops/data_flow_ops.py
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@ -1217,7 +1217,7 @@ class ConditionalAccumulatorBase(object):
if name is None:
name = "%s_NumAccumulated" % self._name
if compat.forward_compatible(2019, 7, 8):
if compat.forward_compatible(2019, 8, 8):
return gen_data_flow_ops.resource_accumulator_num_accumulated(
self._accumulator_ref, name=name)
@ -1237,7 +1237,7 @@ class ConditionalAccumulatorBase(object):
Returns:
Operation that sets the accumulator's time step.
"""
if compat.forward_compatible(2019, 7, 8):
if compat.forward_compatible(2019, 8, 8):
return gen_data_flow_ops.resource_accumulator_set_global_step(
self._accumulator_ref,
math_ops.cast(ops.convert_to_tensor(new_global_step), _dtypes.int64),
@ -1276,7 +1276,7 @@ class ConditionalAccumulator(ConditionalAccumulatorBase):
name: Optional name for the accumulator.
reduction_type: Reduction type to use when taking the gradient.
"""
if compat.forward_compatible(2019, 7, 8):
if compat.forward_compatible(2019, 8, 8):
accumulator_ref = gen_data_flow_ops.resource_conditional_accumulator(
dtype=dtype,
shape=shape,
@ -1316,7 +1316,7 @@ class ConditionalAccumulator(ConditionalAccumulatorBase):
grad.get_shape().assert_is_compatible_with(self._shape)
local_step = math_ops.cast(ops.convert_to_tensor(local_step), _dtypes.int64)
if compat.forward_compatible(2019, 7, 8):
if compat.forward_compatible(2019, 8, 8):
return gen_data_flow_ops.resource_accumulator_apply_gradient(
self._accumulator_ref,
local_step=local_step,
@ -1347,7 +1347,7 @@ class ConditionalAccumulator(ConditionalAccumulatorBase):
Raises:
InvalidArgumentError: If num_required < 1
"""
if compat.forward_compatible(2019, 7, 8):
if compat.forward_compatible(2019, 8, 8):
out = gen_data_flow_ops.resource_accumulator_take_gradient(
self._accumulator_ref, num_required, dtype=self._dtype, name=name)
else: