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TF2 fixes. #130

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TF2 fixes. #130

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10 changes: 8 additions & 2 deletions dopamine/discrete_domains/atari_lib.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,8 +51,14 @@ class has two main functions: `.__init__` and `.call`. When we create our
import tensorflow.compat.v1 as tf

import cv2
from tensorflow.contrib import layers as contrib_layers
from tensorflow.contrib import slim as contrib_slim
from tensorflow.compat.v1 import layers as contrib_layers

# Allow failure on this import (not in tf2). This means atari won't be
# available but other domains will.
try:
from tensorflow.contrib import slim as contrib_slim
except:
pass


NATURE_DQN_OBSERVATION_SHAPE = (84, 84) # Size of downscaled Atari 2600 frame.
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4 changes: 2 additions & 2 deletions dopamine/replay_memory/circular_replay_buffer.py
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Expand Up @@ -34,7 +34,7 @@
import tensorflow.compat.v1 as tf

import gin.tf
from tensorflow.contrib import staging as contrib_staging
from tensorflow.python.ops import data_flow_ops

# Defines a type describing part of the tuple returned by the replay
# memory. Each element of the tuple is a tensor of shape [batch, ...] where
Expand Down Expand Up @@ -855,7 +855,7 @@ def _set_up_staging(self, transition):
transition_type = self.memory.get_transition_elements()

# Create the staging area in CPU.
prefetch_area = contrib_staging.StagingArea(
prefetch_area = data_flow_ops.StagingArea(
[shape_with_type.type for shape_with_type in transition_type])

# Store prefetch op for tests, but keep it private -- users should not be
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