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/frameworks/ml/nn/tools/test_generator/tests/P_float/
Daddfloat.mod.py3 i2 = Input("operand2","TENSOR_FLOAT32", "{3,4}") variable
/frameworks/ml/nn/tools/test_generator/tests/P_vts_operands/
Daddfloat.mod.py5 i2 = Input("operand2","TENSOR_FLOAT32", "{3,4}") variable
/frameworks/ml/nn/runtime/test/specs/V1_0/
Drelu6_float_1.mod.py20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
Drelu1_float_1.mod.py20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
Drelu_float_1.mod.py20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
Dtanh.mod.py5 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
Ddequantize.mod.py4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
Dfloor.mod.py4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
Dl2_normalization.mod.py19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable
Dl2_normalization_2.mod.py19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
Dl2_normalization_large.mod.py19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}") variable
Dreshape_quant8.mod.py5 i2 = Parameter("op2", "TENSOR_INT32", "{1}", [-1]) variable
Dreshape_quant8_weights_as_inputs.mod.py5 i2 = Input("op2", "TENSOR_INT32", "{1}") variable
Dreshape.mod.py4 i2 = Parameter("op2", "TENSOR_INT32", "{1}", [-1]) # another vector of 2 float32s variable
Dreshape_weights_as_inputs.mod.py4 i2 = Input("op2", "TENSOR_INT32", "{1}") # another vector of 2 float32s variable
/frameworks/ml/nn/tools/test_generator/tests/P_explicit/
Dexplicit_add.mod.py2 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # output 0 variable
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dl2_normalization_2_relaxed.mod.py19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
Drelu1_float_1_relaxed.mod.py20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
Drelu_float_1_relaxed.mod.py20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
Dpad.mod.py4 i2 = Parameter("op2", "TENSOR_INT32", "{4, 2}", [0, 0, 1, 1, 1, 1, 0, 0]) variable
Ddequantize_relaxed.mod.py20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
Dfloor_relaxed.mod.py20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
Dpad_float_1.mod.py4 i2 = Parameter("op2", "TENSOR_INT32", "{4, 2}", [0, 0, 0, 2, 1, 3, 0, 0]) variable
Dtanh_relaxed.mod.py21 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
Dl2_normalization_large_relaxed.mod.py19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}") variable

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