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Update random_variables.py #908

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22 changes: 10 additions & 12 deletions edward/util/random_variables.py
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Original file line number Diff line number Diff line change
Expand Up @@ -359,18 +359,24 @@ def copy(org_instance, dict_swap=None, scope="copied",
# It is unique to every Operation type.
op_def = deepcopy(op.op_def)

# If it has inputs, copy them.
inputs = []
for x in op.inputs:
elem = copy(x, dict_swap, scope, True, copy_q, False)
if not isinstance(elem, tf.Operation):
elem = tf.convert_to_tensor(elem)

inputs.append(elem)

new_op = tf.Operation(node_def,
graph,
[], # inputs; will add them afterwards
inputs,
output_types,
[], # control inputs; will add them afterwards
[], # input types; will add them afterwards
original_op,
op_def)

# advertise op early to break recursions
graph._add_op(new_op)

# If it has control inputs, copy them.
control_inputs = []
for x in op.control_inputs:
Expand All @@ -382,14 +388,6 @@ def copy(org_instance, dict_swap=None, scope="copied",

new_op._add_control_inputs(control_inputs)

# If it has inputs, copy them.
for x in op.inputs:
elem = copy(x, dict_swap, scope, True, copy_q, False)
if not isinstance(elem, tf.Operation):
elem = tf.convert_to_tensor(elem)

new_op._add_input(elem)

# Copy the control flow context.
control_flow_context = _copy_context(op._get_control_flow_context(), {},
dict_swap, scope, copy_q)
Expand Down