!282 fix conv2d performance is worse than pytorch

Merge pull request !282 from chujinjin/fix_pynative_conv_pf
This commit is contained in:
mindspore-ci-bot 2020-04-15 16:35:58 +08:00 committed by Gitee
commit c3525d0cf7
2 changed files with 4 additions and 4 deletions

View File

@ -65,7 +65,7 @@ MsContext::MsContext(const std::string& policy, const std::string& target) {
}
backend_policy_ = policy_map_[policy];
device_target_ = target;
execution_mode_ = kGraphMode;
execution_mode_ = kPynativeMode;
enable_task_sink_ = true;
ir_fusion_flag_ = true;
enable_hccl_ = false;

View File

@ -122,8 +122,9 @@ class GradWrap(nn.Cell):
@pytest.mark.level0
@pytest.mark.platform_arm_ascend_training
@pytest.mark.platform_x86_ascend_training
@pytest.mark.env_single
@pytest.mark.env_onecard
def test_ascend_pynative_lenet():
context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
@ -152,6 +153,5 @@ def test_ascend_pynative_lenet():
total_time = total_time + cost_time
print("======epoch: ", epoch, " loss: ", loss_output.asnumpy(), " cost time: ", cost_time)
assert(total_time < 20.0)
assert(loss_output.asnumpy() < 0.01)
assert(loss_output.asnumpy() < 0.1)