/frameworks/ml/nn/tools/test_generator/tests/P_float/ |
D | addfloat.mod.py | 3 i2 = Input("operand2","TENSOR_FLOAT32", "{3,4}") variable
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/frameworks/ml/nn/tools/test_generator/tests/P_vts_operands/ |
D | addfloat.mod.py | 5 i2 = Input("operand2","TENSOR_FLOAT32", "{3,4}") variable
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/frameworks/ml/nn/runtime/test/specs/V1_0/ |
D | relu6_float_1.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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D | relu1_float_1.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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D | relu_float_1.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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D | tanh.mod.py | 5 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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D | dequantize.mod.py | 4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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D | floor.mod.py | 4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
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D | l2_normalization.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable
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D | l2_normalization_2.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
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D | l2_normalization_large.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}") variable
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D | reshape_quant8.mod.py | 5 i2 = Parameter("op2", "TENSOR_INT32", "{1}", [-1]) variable
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D | reshape_quant8_weights_as_inputs.mod.py | 5 i2 = Input("op2", "TENSOR_INT32", "{1}") variable
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D | reshape.mod.py | 4 i2 = Parameter("op2", "TENSOR_INT32", "{1}", [-1]) # another vector of 2 float32s variable
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D | reshape_weights_as_inputs.mod.py | 4 i2 = Input("op2", "TENSOR_INT32", "{1}") # another vector of 2 float32s variable
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/frameworks/ml/nn/tools/test_generator/tests/P_explicit/ |
D | explicit_add.mod.py | 2 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # output 0 variable
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | l2_normalization_2_relaxed.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
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D | relu1_float_1_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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D | relu_float_1_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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D | pad.mod.py | 4 i2 = Parameter("op2", "TENSOR_INT32", "{4, 2}", [0, 0, 1, 1, 1, 1, 0, 0]) variable
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D | dequantize_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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D | floor_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
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D | pad_float_1.mod.py | 4 i2 = Parameter("op2", "TENSOR_INT32", "{4, 2}", [0, 0, 0, 2, 1, 3, 0, 0]) variable
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D | tanh_relaxed.mod.py | 21 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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D | l2_normalization_large_relaxed.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}") variable
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