forked from mindspore-Ecosystem/mindspore
!282 fix conv2d performance is worse than pytorch
Merge pull request !282 from chujinjin/fix_pynative_conv_pf
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c3525d0cf7
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@ -65,7 +65,7 @@ MsContext::MsContext(const std::string& policy, const std::string& target) {
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}
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backend_policy_ = policy_map_[policy];
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device_target_ = target;
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execution_mode_ = kGraphMode;
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execution_mode_ = kPynativeMode;
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enable_task_sink_ = true;
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ir_fusion_flag_ = true;
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enable_hccl_ = false;
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@ -122,8 +122,9 @@ class GradWrap(nn.Cell):
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@pytest.mark.level0
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_single
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@pytest.mark.env_onecard
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def test_ascend_pynative_lenet():
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context.set_context(mode=context.PYNATIVE_MODE, device_target="Ascend")
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@ -152,6 +153,5 @@ def test_ascend_pynative_lenet():
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total_time = total_time + cost_time
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print("======epoch: ", epoch, " loss: ", loss_output.asnumpy(), " cost time: ", cost_time)
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assert(total_time < 20.0)
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assert(loss_output.asnumpy() < 0.01)
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assert(loss_output.asnumpy() < 0.1)
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