def test_round_trip():
# set up an op and Assign a value to it so we can read it out
axes = ng.make_axes([
ng.make_axis(name='A', length=2),
ng.make_axis(name='B', length=3),
])
x_op = ng.variable(axes)
assign_op = ng.AssignOp(x_op, 1)
with executor(assign_op) as assign_computation:
t = assign_computation.transformer
# Set initial value
assign_computation()
# Test value
np.testing.assert_allclose(serde_weights.extract_op(t, x_op), 1)
# write out values in x and graph
f = BytesIO()
# ## EXAMPLE OF HOW TO FULLY SERIALIZE A GRAPH ###
serde_weights.serialize_weights(t, [x_op], f)
graph_string = serde.serialize_graph([x_op])
# ## /EXAMPLE OF HOW TO FULLY SERIALIZE A GRAPH ###
f.seek(0)
# ## EXAMPLE OF HOW TO FULLY DESERIALIZE A GRAPH ###
new_ops = serde.deserialize_graph(graph_string)
serde_weights.deserialize_weights(t, new_ops, f)
# ## /EXAMPLE OF HOW TO FULLY DESERIALIZE A GRAPH ###
np.testing.assert_allclose(serde_weights.extract_op(t, new_ops[0]), 1)
def test_extract_op():
# set up an op and Assign a value to it so we can read it out
axes = ng.make_axes([
ng.make_axis(name='A', length=2),
ng.make_axis(name='B', length=3),
])
x_op = ng.variable(axes)
assign_op = ng.AssignOp(x_op, 1)
# extract values out of it and make sure they match expected results
with executor(assign_op) as comp_assignment:
t = comp_assignment.transformer
comp_assignment()
x_out = serde_weights.extract_op(t, x_op)
assert (x_out == np.ones(axes.lengths)).all()
def test_extract_op(transformer_factory):
# set up an op and Assign a value to it so we can read it out
axes = ng.make_axes([
ng.make_axis(name='A', length=2),
ng.make_axis(name='B', length=3),
])
x_op = ng.variable(axes)
assign_op = ng.AssignOp(x_op, 1)
# extract values out of it and make sure they match expected results
with closing(ngt.make_transformer()) as t:
comp_assignment = t.computation(assign_op)
comp_assignment()
x_out = serde_weights.extract_op(t, x_op)
assert (x_out == np.ones(axes.lengths)).all()
def test_set_op_value(transformer_factory):
"""
set up a variable, then use serde_weights.set_op_value to inject a value
into the graph. Then double check that the value was injected.
"""
axes = ng.make_axes([
ng.make_axis(name='A', length=2),
ng.make_axis(name='B', length=3),
])
x_op = ng.variable(axes)
with closing(ngt.make_transformer()) as t:
value = np.ones(axes.lengths)
serde_weights.set_op_value(t, x_op, value)
# extract values out of it and make sure they match expected results
x_out = serde_weights.extract_op(t, x_op)
assert (x_out == value).all()