Searched refs:quant8_asymm (Results 1 – 12 of 12) sorted by relevance
/packages/modules/NeuralNetworks/runtime/test/specs/AIDL_V3/ |
D | mirror_pad_tensorflow.mod.py | 28 quant8_asymm = DataTypeConverter(name="quant8_asymm").Identify({ 40 … }, model=model, name=name).AddVariations("float16", quant8_asymm, quant8_asymm_signed, "int32")
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D | reverse.mod.py | 22 quant8_asymm = DataTypeConverter(name="quant8_asymm").Identify({ 34 … }, model=model, name=name).AddVariations("float16", quant8_asymm, quant8_asymm_signed, "int32")
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D | mirror_pad.mod.py | 59 quant8_asymm = DataTypeConverter(name="quant8_asymm").Identify({ 72 …}, model=model, name=name + "_" + numpy_mode).AddVariations("float16", quant8_asymm, quant8_asymm_…
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/packages/modules/NeuralNetworks/runtime/test/specs/experimental/ |
D | densify_1.mod.py | 29 quant8_asymm = DataTypeConverter().Identify({ variable 51 quant8_asymm, quant8_asymm_signed, quant16_symm,
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D | densify_5.mod.py | 32 quant8_asymm = DataTypeConverter().Identify({ variable 54 quant8_asymm, quant8_asymm_signed, quant16_symm,
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D | densify_4.mod.py | 31 quant8_asymm = DataTypeConverter().Identify({ variable 53 quant8_asymm, quant8_asymm_signed, quant16_symm,
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D | densify_6.mod.py | 34 quant8_asymm = DataTypeConverter().Identify({ variable 56 quant8_asymm, quant8_asymm_signed, quant16_symm,
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D | densify_3.mod.py | 35 quant8_asymm = DataTypeConverter().Identify({ variable 57 quant8_asymm, quant8_asymm_signed, quant16_symm,
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D | densify_2.mod.py | 34 quant8_asymm = DataTypeConverter().Identify({ variable 56 quant8_asymm, quant8_asymm_signed, quant16_symm,
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D | densify_8.mod.py | 39 quant8_asymm = DataTypeConverter().Identify({ variable 61 quant8_asymm, quant8_asymm_signed, quant16_symm,
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D | densify_7.mod.py | 38 quant8_asymm = DataTypeConverter().Identify({ variable 60 quant8_asymm, quant8_asymm_signed, quant16_symm,
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/packages/modules/NeuralNetworks/runtime/test/specs/AIDL_V2/ |
D | pack.mod.py | 20 quant8_asymm = DataTypeConverter(name="quant8_asymm").Identify(quant8_asymm_dict) 24 …nsor: output_data}), model=model, name=name).AddVariations("float16", quant8_asymm, quant8_asymm_s…
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