explicit_add.mod.py « P_explicit « tests « android-p « nnapi_test_generator « nnapi « tests - platform/core/ml/nnfw - Domain: Machine Learning / ML Framework; Licenses: Apache-2.0;

index : platform/core/ml/nnfw

Domain: Machine Learning / ML Framework; Licenses: Apache-2.0;

Sangmin Seo <sangmin7.seo@samsung.com>, Sung-Jae Lee <sjlee@mail.com>

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path: root/tests/nnapi/nnapi_test_generator/android-p/tests/P_explicit/explicit_add.mod.py

blob: b1c8f99a4422d6609f40dce1fd7a4a6fcf71a515 (plain)

i1 = Input("op1", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # input 0
i2 = Output("op2", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # output 0
i0 = Internal("op0", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # intermediate result
model = Model()
model = model.RawAdd(i1, i1).To(i0)
model = model.RawAdd(i0, i1).To(i2)