Searched refs:input3 (Results 1 – 4 of 4) sorted by relevance
| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | concat_mixed_quant.mod.py | 22 input3 = Input("input3", "TENSOR_FLOAT32", "{2, 1, 2}") variable
26 model = Model().Operation("CONCATENATION", input0, input1, input2, input3, axis).To(output0)
33 input3: [1.3, 3.3, 4.3, 7.3],
39 input3: ["TENSOR_QUANT8_ASYMM", 0.029, 0],
48 input3: [1.3, 3.3, 4.3, 7.3],
54 input3: ["TENSOR_QUANT8_ASYMM", 0.029, 0],
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| /frameworks/ml/nn/runtime/test/specs/V1_3/ |
| D | concat_quant8_signed.mod.py | 22 input3 = Input("input3", "TENSOR_FLOAT32", "{2, 1, 2}") variable
26 model = Model().Operation("CONCATENATION", input0, input1, input2, input3, axis).To(output0)
33 input3: [1.3, 3.3, 4.3, 7.3],
39 input3: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.029, -128],
48 input3: [1.3, 3.3, 4.3, 7.3],
54 input3: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.029, -128],
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| /frameworks/ml/nn/runtime/test/ |
| D | TestValidateOperations.cpp | 3774 ANeuralNetworksOperandType input3 = getOpType(ANEURALNETWORKS_BOOL, 0); in reduceOpTest() local
3776 OperationTestBase test(operationCode, {input1, input2, input3}, {output}, in reduceOpTest()
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| /frameworks/ml/nn/tools/api/ |
| D | types.spec | 4050 * * 1: A tensor of the same {@link %{OperandType}} as input3, of shape
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