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!2413 [Auto parallel] Check 'CAST' from optimizers 

Merge pull request !2413 from Xiaoda/7-auto-parallel-check-optimizer-ops
This commit is contained in:
mindspore-ci-bot 2020-06-22 14:20:32 +08:00 committed by Gitee
parent 83b53559f5 3ff6e336c6
commit e9e4442dcb
4 changed files with 15 additions and 10 deletions
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1
mindspore/ccsrc/parallel/ops_info/ops_utils.h
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@ -130,6 +130,7 @@ constexpr char FORWARD_OP[] = "forward_op";
constexpr char REDISTRIBUTION_OP[] = "redistribution_op";
constexpr char DARA_PARALLEL[] = "data_parallel";
constexpr char FORWARD_REDUCE_SCATTER[] = "forward_reduce_scatter";
constexpr char OPTIMIZER_SUB_STRING[] = "optimizer";
// Operator
constexpr char VIRTUAL_DIV[] = "_VirtualDiv";

4
mindspore/ccsrc/parallel/step_auto_parallel.cc
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@ -283,6 +283,10 @@ bool IsAutoParallelCareNode(const CNodePtr &cnode) {
if (bool_result) {
MS_LOG(EXCEPTION) << "Should implementing OperatorInfo for: " << prim->name();
} else if (prim->name() == CAST) {
if (cnode->fullname_with_scope().find(OPTIMIZER_SUB_STRING) != std::string::npos) {
// Do not care CASTs from optimizer
return false;
}
return true;
}
return IsParallelCareNode(cnode) && IsSplittableOperator(prim->name());

8
tests/ut/python/parallel/test_auto_parallel_cast.py
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@ -80,9 +80,9 @@ def test_double_star_graph():
_executor.compile(net, x, y, z, w, phase='train')
strategies = _executor._get_strategy(net)
expected_strategies = {'Default/network-Net/Cast-op1': [[8, 1]],
'Default/network-Net/Cast-op3': [[1, 8]],
'Default/network-Net/MatMul-op2': [[8, 1], [1, 1]],
expected_strategies = {'Default/network-Net/Cast-op0': [[8, 1]],
'Default/network-Net/Cast-op1': [[1, 8]],
'Default/network-Net/MatMul-op3': [[8, 1], [1, 1]],
'Default/network-Net/MatMul-op4': [[1, 1], [1, 8]],
'Default/network-Net/MatMul-op0': [[1, 8], [8, 1]]}
'Default/network-Net/MatMul-op2': [[1, 8], [8, 1]]}
assert strategies == expected_strategies

12
tests/ut/python/parallel/test_auto_parallel_parameter_cast.py
View File

@ -12,6 +12,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import re
import numpy as np
import mindspore as ms
@ -69,9 +70,8 @@ def test_common_parameter():
_executor.compile(net, x, y, phase='train')
strategies = _executor._get_strategy(net)
expected_strategies = {'Default/network-Net/MatMul-op1': [[8, 1], [1, 1]],
'Default/network-Net/MatMul-op3': [[8, 1], [1, 1]],
'Default/network-Net/Cast-op2': [[1, 1]],
'Default/network-Net/MatMul-op0': [[8, 1], [1, 1]],
'Default/network-Net/Cast-op4': [[1, 1]]}
assert strategies == expected_strategies
for (k, v) in strategies.items():
if re.search('MatMul-op', k) is not None:
assert v == [[8, 1], [1, 1]]
elif re.search('Cast-op', k) is not None:
assert v == [[1, 1]]