def test_fuse_swapin_ops(self, identity, ctrl_dep, connect, sgv):
lms_test = lms.LMS({'s1'}, graph=mock.Mock(), lb=5, ub=500)
lms_test._topo_sort = mock.Mock()
# Mock get_order to return the "order" value from the mock op
lms_test._topo_sort.get_order = lambda x: x.order
lms_test._topo_sort.size = 200
swap_in = mock.Mock(name='swapin_ts', op=mock.Mock(name='swapin_op'))
identity.return_value = swap_in
sgv.return_value.input_index.return_value = 123
src_op = mock.Mock(name='src_op')
swapout_op = mock.Mock(name='swapout_op')
bw_fr_ops = [mock.Mock(name='op1', order=15),
mock.Mock(name='op2', order=-1),
mock.Mock(name='op3', order=10),
mock.Mock(name='op4-earliest', order=5),
mock.Mock(name='op5', order=8),
mock.Mock(name='op6', order=-2)]
ts0 = mock.Mock(name='ts0')
earliest_op = bw_fr_ops[3]
ret = lms_test._fuse_swapin_ops(src_op, swapout_op, set(bw_fr_ops),
ts0)
self.assertEqual(ret, {bw_fr_ops[1], bw_fr_ops[5]})
connect_calls = [mock.call(swapout_op, swap_in.op),
mock.call(swap_in.op, bw_fr_ops[0], remap_inputs=True,
idx=123),
mock.call(swap_in.op, bw_fr_ops[2], remap_inputs=True,
idx=123),
mock.call(swap_in.op, bw_fr_ops[3], remap_inputs=True,
idx=123),
mock.call(swap_in.op, bw_fr_ops[4], remap_inputs=True,
idx=123)]
connect.assert_has_calls(connect_calls, any_order=True)
self.assertEqual(lms_test._excl_ops, {swap_in.op})
ctrl_dep.assert_called_once_with(src_op, earliest_op, swap_in.op)
def test_filter_scopes_and_types(self, get_name_scope_ops):
op1 = mock.Mock(type='a')
op2 = mock.Mock(type='b')
op3 = mock.Mock(type='a')
op4 = mock.Mock(type='d')
op5 = mock.Mock(type='c')
within_ops = {op1, op2, op3, op4, op5}
lms_test = lms.LMS({'s1'})
get_name_scope_ops.return_value = [op4]
ret = lms_test._filter_scopes_and_types(within_ops, {'s1', 's2'},
{'a', 'c'})
get_name_scope_ops.assert_has_calls([mock.call(within_ops, 's1'),
mock.call(within_ops, 's2')],
any_order=True)
assertCountEqual(self, ret, {op1, op3, op4, op5})
# Test no ops found for scope (test more than 1 scope)
get_name_scope_ops.reset_mock()
get_name_scope_ops.return_value = None
get_name_scope_ops.side_effect = [[op4], []]
self.assertRaisesRegex(ValueError,
'No operations were found with scope',
lms_test._filter_scopes_and_types,
within_ops, {'s1', 's2'}, {})
# Test no ops found for type (test more than 1 type)
self.assertRaisesRegex(ValueError,
'No operations were found with types: ',
lms_test._filter_scopes_and_types,
within_ops, {}, {'a', 'c', 'z'})
# Test atomic types. The method should not throw errors
# if an atomic type operation is not found.
input_types = {'a', 'c'} | lms.lms.ATOMIC_TYPES
ret = lms_test._filter_scopes_and_types(within_ops, {}, input_types)
assertCountEqual(self, ret, {op1, op3, op5})
def test_get_forward_walk_ops(self, fwd_walk):
lms_test = lms.LMS({'s1'})
ops_dict = {mock.sentinel.op1: [mock.sentinel.op1, mock.sentinel.op10],
mock.sentinel.op2: [mock.sentinel.op2, mock.sentinel.op20],
mock.sentinel.op3: [mock.sentinel.op3, mock.sentinel.op30]}
lms_test._ops_dict = ops_dict
# Test op in ops_dict
ret = lms_test._get_forward_walk_ops(mock.sentinel.op1)
self.assertEqual(ret, [mock.sentinel.op1, mock.sentinel.op10])
# Test inclusive=False
ret = lms_test._get_forward_walk_ops(mock.sentinel.op1,
inclusive=False)
self.assertEqual(ret, [mock.sentinel.op10])
# Test op not in ops_dict
fwd_walk.return_value = [mock.sentinel.op, mock.sentinel.ret]
ret = lms_test._get_forward_walk_ops(mock.sentinel.op)
self.assertEqual(ret, [mock.sentinel.op, mock.sentinel.ret])
# Test inclusive=False
lms_test._ops_dict = ops_dict
fwd_walk.return_value = [mock.sentinel.op, mock.sentinel.ret]
ret = lms_test._get_forward_walk_ops(mock.sentinel.op,
inclusive=False)
self.assertEqual(ret, [mock.sentinel.ret])
def test_connect_ops(self, sgv, connect):
graph = mock.Mock()
lms_test = lms.LMS({'s1'}, graph=graph)
src_op = mock.Mock()
dest_op = mock.Mock()
dcf = mock.Mock()
sgv.side_effect = ['a', 'b']
lms_test._connect_ops(src_op, dest_op, remap_inputs=False,
remap_outputs=False, disconnect_first=dcf)
sgv_calls = [mock.call(src_op, graph=graph),
mock.call(dest_op, graph=graph)]
sgv.assert_has_calls(sgv_calls)
connect.assert_called_once_with('a', 'b', dcf)
# Test remaps
connect.reset_mock()
sgv.reset_mock()
src_sgv = mock.Mock()
dest_sgv = mock.Mock()
sgv.side_effect = [src_sgv, dest_sgv]
lms_test._connect_ops(src_op, dest_op, remap_inputs=True,
remap_outputs=True, idx=2, disconnect_first=dcf)
src_sgv.remap_outputs.assert_called_once_with([2])
dest_sgv.remap_inputs.assert_called_once_with([2])
connect.assert_called_once_with(src_sgv.remap_outputs.return_value,
dest_sgv.remap_inputs.return_value,
dcf)
def test_do_action(self, get_cons, swap):
lms_test = lms.LMS({'s1'})
src_ops = [mock.Mock() for x in range(2)]
grad_op1 = mock.Mock()
lms_test._grad_ops = {grad_op1}
for op in src_ops:
op.outputs = ['o' for x in range(2)]
dup_op = mock.Mock()
get_cons_side_effect = [[mock.Mock() for x in range(3)] + [dup_op],
[mock.Mock() for x in range(2)] + [dup_op],
[mock.Mock() for x in range(2)],
[mock.Mock() for x in range(3)]]
# Set outputs of first level consuming ops
for op_list in get_cons_side_effect:
for op in op_list:
op.outputs = ['a']
for x in range(11):
get_cons_side_effect.append([grad_op1])
get_cons.side_effect = get_cons_side_effect
# Now add gradient ops for the remaining calls to get_consuming_ops
# Set all consuming ops to have a gradient as
lms_test._do_action(src_ops)
# There should be 13 calls to _insert_swap_nodes. The original 2
# nodes, the 10 from the side_effect ranges above and ONE call on the
# dup_op
self.assertEqual(swap.call_count, 13)
self.assertEqual(get_cons.call_count, 15)
# Test when NOT swapping all possible tensors
swap.reset_mock()
get_cons.reset_mock()
lms_test = lms.LMS(optimizer_scopes={'s1'}, n_tensors=7)
def fake_swap(op):
lms_test._incpu_count += len(op.outputs)
swap.side_effect = fake_swap
lms_test._grad_ops = {grad_op1}
get_cons.side_effect = get_cons_side_effect
lms_test._do_action(src_ops)
# There should only be 5 calls to insert swap nodes. The first
# seed ops will swap 2 tensors each, and 3 other ops will each swap 1
self.assertEqual(swap.call_count, 5)
def test_run(self, grad, seed, fwd_walk, tf_fwd_walk, filter, build, action):
# Test mainline through
seed_ops = [mock.Mock() for x in range(5)]
grad_ops = [mock.MagicMock() for x in range(6)]
fwd_walk.return_value = [mock.MagicMock() for x in range(3)] + grad_ops
seed.return_value = seed_ops
lms_test = lms.LMS({'s1'}, graph=mock.Mock())
def fake_build_gradient_ops():
lms_test._grad_ops = set(grad_ops)
grad.side_effect = fake_build_gradient_ops
lms_test.topos = mock.Mock()
lms_test.run()
self.assertTrue(grad.called)
self.assertTrue(seed.called)
self.assertTrue(fwd_walk.call_count, len(seed_ops))
reachable = set(fwd_walk.return_value) - set(grad_ops)
filter.assert_has_calls([mock.call(reachable, mock.ANY, mock.ANY),
mock.call(reachable, mock.ANY, mock.ANY)])
self.assertTrue(build.called)
action.assert_called_once_with(seed_ops)
# Test passing a graph in run and verify it overwrites a graph passed
# on the constructor
new_graph = mock.Mock()
lms_test.run(graph=new_graph)
self.assertEqual(lms_test._graph, new_graph)
# Test no graph
grad.reset_mock()
lms_test = lms.LMS({'s1'})
self.assertRaises(ValueError, lms_test.run)
# Test n_tensors = 0
lms_test = lms.LMS({'s1'}, n_tensors=0)
lms_test.run(new_graph)
self.assertFalse(grad.called)
# Test n_tensors = -1
action.reset_mock()
lms_test = lms.LMS({'s1'}, n_tensors=-1)
lms_test.run(new_graph)
self.assertTrue(action.called)
# n_tensors gets set to when passed as -1
self.assertEqual(lms_test._n_tensors, 0)
def test_get_branch_ops(self):
lms_test = lms.LMS({'s1'})
lms_test._topo_sort = mock.Mock()
lms_test._topo_sort.size = 6
threshold = 3
within_ops = {'f1', 'f2', 'f3', 'f4', 'f5', 'f6'}
common_orders = {'f1': 1, 'f2': 2, 'f3': 3, 'f4': 4, 'f5': 5, 'f6': 6}
lms_test._topo_sort.get_order = lambda x: common_orders.get(x, -1)
ret = lms_test._get_branch_ops(within_ops, threshold)
self.assertEqual(ret, {'f5', 'f6'})
def test_build_gradient_ops(self, filter_ops, make_list):
graph = mock.Mock()
filter_ops.side_effect = [['a', 'b', 'c'], ['d']]
lms_test = lms.LMS({'s1', 's2'}, graph=graph)
lms_test._build_gradient_ops()
self.assertEqual(lms_test._grad_ops, {'a', 'b', 'c', 'd'})
self.assertEqual(2, make_list.call_count)
self.assertEqual(2, filter_ops.call_count)
# Test ops found for 's1' but not 's2'
filter_ops.reset_mock()
make_list.reset_mock()
def filter_fake(x, y):
if 's1' in y:
return ['a', 'b', 'c']
return set()
filter_ops.side_effect = filter_fake
lms_test = lms.LMS({'s1', 's2'}, graph=graph)
self.assertRaisesRegex(ValueError, 'optimizer scope s2',
lms_test._build_gradient_ops)
def test_find_new_src_op(self, get_cons):
ts = mock.Mock()
lms_test = lms.LMS({'s1'})
lms_test._topo_sort = ts
ts.bw_starting_order = 5
ts.get_order.side_effect = lambda x: x.order
get_cons.side_effect = lambda x: x.consumers
op_w_order = mock.Mock(name='op_w_order', order=45, outputs=[])
frontier1 = mock.Mock(name='fwd1', order=-1, outputs=[])
frontier2_out = mock.Mock(name='fwd2_out', consumers=[op_w_order])
frontier2 = mock.Mock(name='fwd2', order=-1, outputs=[frontier2_out])
orig_src_out = mock.Mock(name='orig_out', consumers=[frontier1,
frontier2])
original_op = mock.Mock(name='original_op', outputs=[orig_src_out])
new_src_ops = lms_test._find_new_src_op(original_op)
self.assertEqual(new_src_ops, {frontier2})
def test_do_direct_order(self, get_fwd_walk):
lms_test = lms.LMS({'s1'})
lms_test._topo_sort = mock.Mock()
# Mock get_order to return the "order" value from the mock op
lms_test._topo_sort.get_order.side_effect = lambda x: x.order
expected_ret = mock.Mock(name='expected_op')
expected_ret.name = "expected_op_name"
get_ops = mock.Mock(name='get_ops')
gor = [[]]
get_ops.side_effect = [[1, 2, 3], [4, 5], [6, expected_ret]]
lms_test._topo_sort.get_ops = get_ops
fw_op = mock.Mock(name='fwd_op', order=5)
src_op = mock.Mock(name='src_op', order=50)
get_fwd_walk.side_effect = lambda x: ({'a', src_op}
if x is expected_ret
else {'b', 'c'})
ret = lms_test._do_direct_order(fw_op, src_op, 3, 100)
self.assertEqual(ret, (expected_ret, 44))
def test_add_swapout(self, identity, sgv, connect_ops):
graph = mock.Mock()
lms_modifier = lms.LMS(graph=graph,
optimizer_scopes={'s1'})
src_op = mock.Mock()
ts0 = mock.Mock()
swap_out = mock.Mock()
sgv_ret = mock.Mock()
sgv_ret.output_index.return_value = 123
sgv.return_value = sgv_ret
identity.return_value = swap_out
ret = lms_modifier._add_swapout(src_op, ts0)
identity.assert_called_once_with(ts0, name='lms/swapout')
sgv.assert_called_once_with(src_op, graph=graph)
connect_ops.assert_called_once_with(src_op, swap_out.op,
remap_outputs=True, idx=123)
self.assertEqual(ret, swap_out.op)
self.assertEqual(lms_modifier._excl_ops, {swap_out.op})
def test_do_chain_rule(self, direct_order, cons_ops):
lms_test = lms.LMS({'s1'})
lms_test._topo_sort = mock.Mock()
# Test calling _do_direct_order when the bw_op is close to the
# boundary
lms_test._topo_sort.get_order.side_effect = [1, 5]
lms_test._topo_sort.bw_starting_order = 10
fwd_op = mock.Mock(name='fwdop')
bw_op = mock.Mock(name='bwop')
lms_test._do_chain_rule(fwd_op, bw_op, 4, 10)
direct_order.assert_called_once_with(fwd_op, bw_op, 4, 10)
# Test going through one layer
lms_test._topo_sort = mock.Mock()
# Mock get_order to return the "order" value from the mock op
lms_test._topo_sort.get_order = lambda x: x.order
# Mock get_consuming_ops to return the mock outputs' consumers
cons_ops.side_effect = lambda x: x.consumers
grad_op = mock.Mock(name='grad', order=7)
grad_op.name = 'gradop_name'
lms_test._grad_ops = {grad_op}
layer2 = [mock.Mock(name='l2a',
outputs=[mock.Mock(name='secondToLast',
outputs=['a'],
consumers=[grad_op])]),
mock.Mock(name='l2b', outputs=[])]
layer2[0].name = 'l2a_name'
layer2[1].name = 'l2b_name'
layer2b = mock.Mock(outputs=[])
layer1 = [mock.Mock(name='l1a', outputs=[mock.Mock(consumers=layer2)]),
mock.Mock(name='l1b',
outputs=[mock.Mock(consumers=[layer2b])])]
fwd_op = mock.Mock(name='fwdop', order=5,
outputs=[mock.Mock(name='fwdop_out1',
consumers=layer1),
mock.Mock(name='fwdop_out2',
consumers=[], outputs=[])])
bw_op = mock.Mock(name='bwop', order=50)
lms_test._topo_sort.bw_starting_order = 1
ret = lms_test._do_chain_rule(fwd_op, bw_op, 1, 10)
self.assertEqual(ret, (grad_op, 7))
def test_add_swapin(self, identity, sgv, connect_ops):
graph = mock.Mock()
lms_modifier = lms.LMS({'s1'}, graph=graph)
lms_modifier._topo_sort = mock.Mock()
dest_op = mock.Mock()
swapout_op = mock.Mock()
ts0 = mock.Mock()
swapin = mock.Mock()
sgv_ret = mock.Mock()
sgv_ret.input_index.return_value = 123
sgv.return_value = sgv_ret
identity.return_value = swapin
ret = lms_modifier._add_swapin(swapout_op, dest_op, ts0)
identity.assert_called_once_with(ts0, name='lms/swapin')
sgv.assert_called_once_with(dest_op, graph=graph)
connect_calls = [mock.call(swapout_op, swapin.op),
mock.call(swapin.op, dest_op,
remap_inputs=True, idx=123)]
connect_ops.assert_has_calls(connect_calls)
self.assertEqual(ret, swapin.op)
self.assertEqual(lms_modifier._excl_ops, {swapin.op})
def test_add_control_dependency(self, do_chain, do_direct, add_ctrl_input):
# Test when lb is reset and chain rule
lms_test = lms.LMS({'s1'}, ctrld_strategy="chain_rule", lb=10, ub=20)
lms_test._topo_sort = mock.Mock()
lms_test._topo_sort.get_order.side_effect = [24, 15]
fw_op = mock.sentinel.fw_op
bw_op = mock.sentinel.orig_bw_op
swapin_op = mock.Mock()
do_chain.return_value = [mock.sentinel.ctl_op, 123]
lms_test._add_control_dependency(fw_op, bw_op, swapin_op)
do_chain.assert_called_once_with(fw_op, bw_op, 1, 20)
add_ctrl_input.assert_called_once_with(swapin_op,
mock.sentinel.ctl_op)
# Test chain rule
lms_test._topo_sort.get_order.side_effect = [26, 15]
do_chain.reset_mock()
add_ctrl_input.reset_mock()
lms_test._add_control_dependency(fw_op, bw_op, swapin_op)
do_chain.assert_called_once_with(fw_op, bw_op,
10, 20)
add_ctrl_input.assert_called_once_with(swapin_op,
mock.sentinel.ctl_op)
# Test with direct_order
do_chain.reset_mock()
add_ctrl_input.reset_mock()
lms_test = lms.LMS({'s1'}, ctrld_strategy="direct_order", lb=10, ub=20)
lms_test._topo_sort = mock.Mock()
lms_test._topo_sort.get_order.side_effect = [26, 15]
do_chain.return_value = None
do_direct.return_value = [mock.sentinel.ctl_op, 567]
lms_test._add_control_dependency(fw_op, bw_op, swapin_op)
add_ctrl_input.assert_called_once_with(swapin_op,
mock.sentinel.ctl_op)
do_direct.assert_called_once_with(fw_op, mock.sentinel.orig_bw_op,
10, 20)
# Test direct order when fw_op is a gradient op
do_direct.reset_mock()
do_chain.reset_mock()
add_ctrl_input.reset_mock()
lms_test = lms.LMS({'s1'}, ctrld_strategy="chain_rule", lb=10, ub=20)
lms_test._grad_ops = {fw_op}
lms_test._topo_sort = mock.Mock()
lms_test._topo_sort.get_order.side_effect = [26, 15]
do_chain.return_value = None
do_direct.return_value = [mock.sentinel.ctl_op, 567]
lms_test._add_control_dependency(fw_op, bw_op, swapin_op)
add_ctrl_input.assert_called_once_with(swapin_op,
mock.sentinel.ctl_op)
# Note we expect _do_direct_order to be called even though the
# control dependency strategy was set to "chain_rule" because fw_op is
# a gradient op.
do_direct.assert_called_once_with(fw_op, mock.sentinel.orig_bw_op,
10, 20)
self.assertEqual(do_chain.call_count, 0)
# Test direct order when fw_op is a gradient op
do_direct.reset_mock()
do_chain.reset_mock()
add_ctrl_input.reset_mock()
lms_test = lms.LMS({'s1'}, ctrld_strategy="chain_rule", lb=10, ub=20)
lms_test._grad_ops = {fw_op}
lms_test._topo_sort = mock.Mock()
lms_test._topo_sort.get_order.side_effect = [26, 15]
do_chain.return_value = None
do_direct.return_value = [mock.sentinel.ctl_op, 567]
lms_test._add_control_dependency(fw_op, bw_op, swapin_op)
add_ctrl_input.assert_called_once_with(swapin_op,
mock.sentinel.ctl_op)
# Note we expect _do_direct_order to be called even though the
# control dependency strategy was set to "chain_rule" because fw_op is
# a gradient op.
do_direct.assert_called_once_with(fw_op, mock.sentinel.orig_bw_op,
10, 20)
self.assertEqual(do_chain.call_count, 0)
def test_get_seed_ops(self, get_consuming, get_fwd_walk, make_list,
filter_ops):
graph = mock.Mock()
filter_ops.return_value = [mock.Mock()]
filter_ops.return_value = [mock.Mock()]
# Test with starting scope
lms_test = lms.LMS({'s1'}, graph=graph, starting_scope='sc')
ret = lms_test._get_seed_ops()
filter_ops.assert_called_once_with(make_list.return_value, "^sc")
make_list.assert_called_once_with(graph)
self.assertEqual(ret, filter_ops.return_value)
# Test with starting op names
filter_ops.reset_mock()
make_list.reset_mock()
name_ops = [mock.Mock(name='op1'), mock.Mock(name='op2')]
filter_ops.side_effect = [[name_ops[0]], [name_ops[1]]]
lms_test = lms.LMS({'s1'}, graph=graph, starting_op_names={'a', 'b'})
ret = lms_test._get_seed_ops()
filter_ops.assert_has_calls([mock.call(make_list.return_value, "^a$"),
mock.call(make_list.return_value, "^b$")],
any_order=True)
make_list.assert_called_once_with(graph)
assertCountEqual(self, ret, name_ops)
# Test building seed ops with graph traversal
# setup graph operations and their outputs
graph_ops = [mock.Mock() for x in range(6)]
for op in graph_ops:
op.outputs = ['mock_output']
graph.get_operations.return_value = graph_ops
# Test when both starting scope and starting op names are passed
filter_ops.reset_mock()
make_list.reset_mock()
name_ops = [mock.Mock(name='op1'), mock.Mock(name='op2'),
mock.Mock(name='op3')]
filter_ops.side_effect = [[name_ops[0]], [name_ops[1]], [name_ops[2]]]
lms_test = lms.LMS({'s1'}, graph=graph, starting_op_names={'a', 'b'},
starting_scope='sc')
ret = lms_test._get_seed_ops()
filter_ops.assert_has_calls([mock.call(make_list.return_value, "^a$"),
mock.call(make_list.return_value, "^b$"),
mock.call(make_list.return_value, "^sc")],
any_order=True)
make_list.assert_called_once_with(graph)
assertCountEqual(self, ret, name_ops)
# Test no ops for scope
filter_ops.side_effect = [[]]
lms_test = lms.LMS({'s1'}, graph=graph, starting_scope='sc')
self.assertRaisesRegex(ValueError, 'starting scope sc',
lms_test._get_seed_ops)
# Test no ops for names
# make filter_ops return an op for op 'b' but not op 'a'
filter_ops.side_effect = lambda x, y: {"^b$": ['abc']}.get(y, [])
lms_test = lms.LMS({'s1'}, graph=graph, starting_op_names={'a', 'b'})
self.assertRaisesRegex(ValueError, 'No starting operation was found '
'with name a', lms_test._get_seed_ops)
# Consuming ops for the graph operations, make most of them have a
# gradient op consuming.
grad_ops = {mock.sentinel.gradient1, mock.sentinel.gradient2}
non_grad_ops = graph_ops
get_consuming.side_effect = [[mock.sentinel.gradient1],
[mock.sentinel.gradient1],
[mock.sentinel.gradient2],
['nothing'],
[mock.sentinel.gradient2],
['nothing2']]
get_fwd_walk.side_effect = [[],
[graph_ops[0], graph_ops[2], graph_ops[4]],
[graph_ops[0], graph_ops[1], graph_ops[4]],
[graph_ops[1], graph_ops[2]]]
lms_test = lms.LMS({'s1'}, graph=graph)
lms_test._grad_ops = grad_ops
ret = lms_test._get_seed_ops()
self.assertEqual(get_consuming.call_count, 6)
walk_calls = [mock.call(graph_ops[0], within_ops=non_grad_ops, inclusive=False),
mock.call(graph_ops[1], within_ops=non_grad_ops, inclusive=False),
mock.call(graph_ops[2], within_ops=non_grad_ops, inclusive=False),
mock.call(graph_ops[4], within_ops=non_grad_ops, inclusive=False)]
get_fwd_walk.assert_has_calls(walk_calls, any_order=True)
# There will be two seed ops. However, since sets are used in
# _get_seed_ops and we are mocking get_forward_walk_ops, we can't
# check for specific mock operations.
self.assertEqual(len(ret), 2)
def test_insert_swap_nodes(self, consuming_ops, fwd_walk_ops, swapout,
swapin, ctrldep, fuse_swapins, find_new_src):
graph = mock.Mock()
lms_test = lms.LMS({'s1'}, graph=graph, fuse_swapins=False)
# Test op is excluded.
# _insert_swap_nodes should return before accessing methods on
# src_op which would blow up the test
lms_test._excl_ops = {'a'}
lms_test._insert_swap_nodes('a')
lms_test._excl_ops = {}
# Test included ops but op is not included.
# _insert_swap_nodes should return before accessing methods on
# src_op which would blow up the test
inc_op = mock.Mock()
lms_test._incl_ops = {inc_op}
lms_test._insert_swap_nodes('a')
# Test included ops and op is included.
# _insert_swap_nodes should start iterating on the src outputs
inc_op = mock.Mock()
inc_op.outputs = ['a']
lms_test._incl_ops = {inc_op}
lms_test._grad_ops = {'b', 'c'}
consuming_ops.return_value = {'b'}
fwd_walk_ops.return_value = {}
lms_test._insert_swap_nodes(inc_op)
consuming_ops.assert_called_once_with('a')
fwd_walk_ops.assert_called_once_with('b', inclusive=False)
lms_test._incl_ops = {}
consuming_ops.reset_mock()
fwd_walk_ops.reset_mock()
# Test creating swap out and swap in nodes
src_op = mock.Mock()
src_op.outputs = ['a', 'z']
lms_test._grad_ops = {'b', 'c', 'g1', 'g2'}
consuming_ops.side_effect = [{'b', 'f2', 'g2'}, {'c', 'g1', 'f3'}]
swapout.side_effect = ['swapout_op1', 'swapout_op2']
swap_in_node_map = {'b': 'swapin_op1',
'g2': 'swapin_op2',
'c': 'swapin_op3',
'g1': 'swapin_op4'}
def swap_in_fake(source_op, destination_op, tensor):
return swap_in_node_map[destination_op]
swapin.side_effect = swap_in_fake
fwd_walk_ops.return_value = {'d'}
lms_test._topo_sort = mock.Mock()
lms_test._topo_sort.get_order.side_effect = lambda x: 0
lms_test._insert_swap_nodes(src_op)
consuming_ops.assert_has_calls([mock.call('a'), mock.call('z')])
fwd_calls = [mock.call('b', inclusive=False),
mock.call('g2', inclusive=False)]
fwd_walk_ops.assert_has_calls(fwd_calls, any_order=True)
swapout_calls = [mock.call(src_op, 'a'),
mock.call(src_op, 'z')]
swapout.assert_has_calls(swapout_calls)
swapin_calls = [mock.call('swapout_op1', 'b', 'a'),
mock.call('swapout_op1', 'g2', 'a'),
mock.call('swapout_op2', 'c', 'z'),
mock.call('swapout_op2', 'g1', 'z')]
swapin.assert_has_calls(swapin_calls, any_order=True)
ctrldep_calls = [mock.call(src_op, 'b', 'swapin_op1'),
mock.call(src_op, 'g2', 'swapin_op2'),
mock.call(src_op, 'c', 'swapin_op3'),
mock.call(src_op, 'g1', 'swapin_op4')]
ctrldep.assert_has_calls(ctrldep_calls, any_order=True)
self.assertEqual(lms_test._incpu_count, 2)
# Test calling _find_new_src_op
lms_test = lms.LMS({'s1'}, graph=graph, fuse_swapins=False)
src_op = mock.Mock()
src_op.outputs = ['a', 'z']
lms_test._grad_ops = {'b', 'c', 'g1', 'g2'}
consuming_ops.side_effect = [{'b', 'f2', 'g2'}, {'c', 'g1', 'f3'}]
swapout.side_effect = ['swapout_op1', 'swapout_op2']
swapin.side_effect = ['swapin_op1', 'swapin_op4']
fwd_walk_ops.return_value = {'d'}
lms_test._topo_sort = mock.Mock()
op_orders = {'b': 1, 'g2': -1, 'c': -1, 'g1': 1}
lms_test._topo_sort.get_order.side_effect = (lambda x:
op_orders.get(x, 1))
# New src ops for recursion
find_new_src.side_effect = [{'z1'}, {'z2'}]
# Put ops 'z1' and 'z2' into excluded ops so the recursive call to
# _insert_swap_nodes stops early.
lms_test._excl_ops = {'z1', 'z2'}
lms_test._insert_swap_nodes(src_op)
consuming_ops.assert_has_calls([mock.call('a'), mock.call('z')])
fwd_calls = [mock.call('b', inclusive=False),
mock.call('g2', inclusive=False)]
fwd_walk_ops.assert_has_calls(fwd_calls, any_order=True)
swapout_calls = [mock.call(src_op, 'a'),
mock.call(src_op, 'z')]
swapout.assert_has_calls(swapout_calls)
swapin_calls = [mock.call('swapout_op1', 'b', 'a'),
mock.call('swapout_op2', 'g1', 'z')]
swapin.assert_has_calls(swapin_calls, any_order=True)
ctrldep_calls = [mock.call(src_op, 'b', 'swapin_op1'),
mock.call(src_op, 'g1', 'swapin_op4')]
ctrldep.assert_has_calls(ctrldep_calls, any_order=True)
find_new_src.assert_has_calls([mock.call('g2'),
mock.call('c')], any_order=True)
self.assertEqual(lms_test._incpu_count, 2)
# Test calling fuse_swapins
consuming_ops.reset_mock()
swapout.reset_mock()
swapin.reset_mock()
fwd_walk_ops.reset_mock()
graph = mock.Mock()
lms_test = lms.LMS({'s1'}, graph=graph, fuse_swapins=True)
lms_test._topo_sort = mock.Mock()
lms_test._topo_sort.get_order.side_effect = lambda x: 0
lms_test._grad_ops = {'b', 'c', 'g1', 'g2'}
consuming_ops.side_effect = [{'b', 'f2', 'g2'}, {'c', 'g1', 'f3'}]
swapout.side_effect = ['swapout_op1', 'swapout_op2']
swapin.side_effect = ['swapin_op1', 'swapin_op2', 'swapin_op3',
'swapin_op4']
fwd_walk_ops.return_value = {'d'}
fuse_swapins.return_value = ['fuse1', 'fuse2']
lms_test._insert_swap_nodes(src_op)
fuse_calls = [mock.call(src_op, "swapout_op1", {'b', 'g2'}, 'a'),
mock.call(src_op, "swapout_op2", {'c', 'g1'}, 'z')]
fuse_swapins.assert_has_calls(fuse_calls)
# Test stop swapping out once max number of tensors to swap is hit
consuming_ops.reset_mock()
lms_test = lms.LMS({'s1'}, graph=graph, fuse_swapins=False)
lms_test._n_tensors = 10
lms_test._incpu_count = 10
lms_test._insert_swap_nodes(src_op)
self.assertFalse(consuming_ops.called)