Why the tensor allocation strategy is less when unet model using static shape?

[KotomiHacker]

I did an experiment of running unet model with static shape and dynamic shape and printing the tensor allocation strategy o each. The results are totally different.
For static shape, the comnmand line is onnxruntime_perf_test.exe -m times -r 1 -f unet_sample_batch:2 -f unet_sample_channels:4 -f unet_sample_width:64 -f unet_sample_height:64 -f unet_hidden_batch:2 -f unet_hidden_sequence:77 -e dml olive_sd1.5\unet\model.onnx . I only get four ortValue as below with static shape while there are more tensors about allocation information with dynamic_shape.

Tensor name	Index	Alloc type
ortshared_7_1_1_3_token_194_token_215	416	AllocateStatically
/Expand_output_0	4	Allocate