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[2023 January] Changes required to run installation on macosx #381

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[2023 January] Changes required to run installation on macosx #381

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4 changes: 2 additions & 2 deletions setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,8 +26,8 @@
'psutil',
'scipy',
'seaborn==0.8.1',
'tensorflow>=1.8.0,<2.0',
'torch==1.3.1',
'tensorflow>=1.8.0,<3.0',
'torch==1.13.1',
'tqdm'
],
description="Teaching tools for introducing people to deep RL.",
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6 changes: 3 additions & 3 deletions spinup/utils/mpi_tf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@ def sync_all_params():
return sync_params(tf.global_variables())


class MpiAdamOptimizer(tf.train.AdamOptimizer):
class MpiAdamOptimizer(tf.compat.v1.train.AdamOptimizer):
"""
Adam optimizer that averages gradients across MPI processes.

Expand All @@ -40,7 +40,7 @@ class MpiAdamOptimizer(tf.train.AdamOptimizer):

def __init__(self, **kwargs):
self.comm = MPI.COMM_WORLD
tf.train.AdamOptimizer.__init__(self, **kwargs)
tf.compat.v1.train.AdamOptimizer.__init__(self, **kwargs)

def compute_gradients(self, loss, var_list, **kwargs):
"""
Expand Down Expand Up @@ -75,4 +75,4 @@ def apply_gradients(self, grads_and_vars, global_step=None, name=None):
opt = super().apply_gradients(grads_and_vars, global_step, name)
with tf.control_dependencies([opt]):
sync = sync_params([v for g,v in grads_and_vars])
return tf.group([opt, sync])
return tf.group([opt, sync])