1 files changed, 42 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_0/mul_broadcast_3D_1D_1_nnfw.mod.py b/tests/nnapi/specs/V1_0/mul_broadcast_3D_1D_1_nnfw.mod.py
new file mode 100644
index 000000000..49729eb8c
--- /dev/null
+++ b/tests/nnapi/specs/V1_0/mul_broadcast_3D_1D_1_nnfw.mod.py
@@ -0,0 +1,42 @@
+# ------ file: report/tensor_mul_1.log ------
+tensor_shape_gen = []
+tensor_value_gen = []
+
+# input tensors
+# tensor name: left
+# tflite::interpreter.tensor(1) -> tensor_value_gen[0]
+tensor_shape_gen.append('{3, 1, 4}')
+tensor_value_gen.append([0.8364028931, 0.6620308161, 1.1811592579, 0.4827561378, -0.3846270740, -1.7236120701, 3.5318591595, 0.2959995866, 1.6260499954, -0.7885181308, -0.8246002197, -1.1367146969, ])
+
+# input tensors
+# tensor name: right
+# tflite::interpreter.tensor(2) -> tensor_value_gen[1]
+tensor_shape_gen.append('{4}')
+tensor_value_gen.append([0.8364028931, -0.3846270740, 1.6260499954, 0.6620308161, ])
+
+# output tensors
+# tensor name: output
+# tflite::interpreter.tensor(0) -> tensor_value_gen[2]
+tensor_shape_gen.append('{3, 1, 4}')
+tensor_value_gen.append([0.6995698214, -0.2546349764, 1.9206240177, 0.3195994496, -0.3217031956, 0.6629478931, 5.7429795265, 0.1959608495, 1.3600329161, 0.3032854199, -1.3408411741, -0.7525401711, ])
+
+# --------- tensor shape and value defined above ---------
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT32", tensor_shape_gen[0])
+i2 = Input("op2", "TENSOR_FLOAT32", tensor_shape_gen[1])
+act = Int32Scalar("act", 0) # an int32_t scalar fuse_activation
+i3 = Output("op3", "TENSOR_FLOAT32", tensor_shape_gen[2])
+model = model.Operation("MUL", i1, i2, act).To(i3)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          tensor_value_gen[0],
+          i2: # input 1
+          tensor_value_gen[1]}
+
+output0 = {i3: # output 0
+           tensor_value_gen[2]}
+
+# Instantiate an example
+Example((input0, output0))