Lines Matching refs:bias
2106 ANeuralNetworksOperandType bias = {.type = inputOperandCode, in convOpTest() local
2112 bias.type = ANEURALNETWORKS_TENSOR_INT32; in convOpTest()
2113 bias.scale = 0.25f; in convOpTest()
2116 bias.type = ANEURALNETWORKS_TENSOR_INT32; in convOpTest()
2117 bias.scale = 0.25f; in convOpTest()
2120 bias.type = ANEURALNETWORKS_TENSOR_INT32; in convOpTest()
2121 bias.scale = 0.0f; in convOpTest()
2140 {input, filter, bias, padLeft, padRight, padTop, padBottom, in convOpTest()
2151 {input, filter, bias, padImplicit, strideWidth, strideHeight, activation}, {output}, in convOpTest()
2166 {input, filter, bias, padLeft, padRight, padTop, padBottom, strideWidth, strideHeight, in convOpTest()
2176 {input, filter, bias, padImplicit, strideWidth, strideHeight, activation, layout}, in convOpTest()
2185 {input, filter, bias, padLeft, padRight, padTop, padBottom, strideWidth, strideHeight, in convOpTest()
2195 {input, filter, bias, padImplicit, strideWidth, strideHeight, activation, layout, in convOpTest()
2244 ANeuralNetworksOperandType bias = {.type = inputOperandCode, in depthwiseConvOpTest() local
2251 bias.type = ANEURALNETWORKS_TENSOR_INT32; in depthwiseConvOpTest()
2252 bias.scale = 0.25f; in depthwiseConvOpTest()
2255 bias.type = ANEURALNETWORKS_TENSOR_INT32; in depthwiseConvOpTest()
2256 bias.scale = 0.0f; in depthwiseConvOpTest()
2275 {input, filter, bias, padLeft, padRight, padTop, padBottom, strideWidth, strideHeight, in depthwiseConvOpTest()
2286 {input, filter, bias, padImplicit, strideWidth, strideHeight, multiplier, activation}, in depthwiseConvOpTest()
2301 {input, filter, bias, padLeft, padRight, padTop, padBottom, strideWidth, strideHeight, in depthwiseConvOpTest()
2311 {input, filter, bias, padImplicit, strideWidth, in depthwiseConvOpTest()
2325 {input, filter, bias, padLeft, padRight, padTop, padBottom, strideWidth, strideHeight, in depthwiseConvOpTest()
2336 {input, filter, bias, padImplicit, strideWidth, strideHeight, multiplier, activation, in depthwiseConvOpTest()
2381 ANeuralNetworksOperandType bias = {.type = operandCode, in fullyConnectedOpTest() local
2388 bias.type = ANEURALNETWORKS_TENSOR_INT32; in fullyConnectedOpTest()
2389 bias.scale = 0.25f; in fullyConnectedOpTest()
2399 {input, weights, bias, activation}, {output}, in fullyConnectedOpTest()
3021 ANeuralNetworksOperandType bias = floatTensor1D; in TEST() local
3029 {input, weights, recurrentWeights, bias, hiddenStateIn, activation}, in TEST()
3056 ANeuralNetworksOperandType bias = floatTensor1D; in TEST() local
3064 {input, weights, recurrentWeights, bias, hiddenStateIn, activation}, in TEST()
3091 ANeuralNetworksOperandType bias = floatTensor1D; in TEST() local
3101 {input, weightsFeature, weightsTime, bias, stateIn, rank, activation}, in TEST()
3128 ANeuralNetworksOperandType bias = floatTensor1D; in TEST() local
3138 {input, weightsFeature, weightsTime, bias, stateIn, rank, activation}, in TEST()
3326 ANeuralNetworksOperandType bias = getOpType(inputOperandCode, 1, biasDim); in groupedConvOpTest() local
3329 bias.type = ANEURALNETWORKS_TENSOR_INT32; in groupedConvOpTest()
3330 bias.scale = 0.25f; in groupedConvOpTest()
3333 bias.type = ANEURALNETWORKS_TENSOR_INT32; in groupedConvOpTest()
3334 bias.scale = 0.0f; in groupedConvOpTest()
3343 {input, filter, bias, scalar, scalar, scalar, scalar, in groupedConvOpTest()
3353 {input, filter, bias, scalar, scalar, scalar, scalar, scalar, layout}, {output}); in groupedConvOpTest()
3400 ANeuralNetworksOperandType bias = getOpType(inputOperandCode, 1, biasDim); in transposeConvOpTest() local
3403 bias.type = ANEURALNETWORKS_TENSOR_INT32; in transposeConvOpTest()
3404 bias.scale = 0.25f; in transposeConvOpTest()
3407 bias.type = ANEURALNETWORKS_TENSOR_INT32; in transposeConvOpTest()
3408 bias.scale = 0.0f; in transposeConvOpTest()
3417 {input, filter, bias, scalar, scalar, scalar, scalar, scalar, scalar, scalar, layout}, in transposeConvOpTest()
3426 {input, filter, bias, getOpType(ANEURALNETWORKS_TENSOR_INT32, 1, outShapeDim), scalar, in transposeConvOpTest()
4028 ANeuralNetworksOperandType bias = {.type = inputOperandCode, in unidirectionlSequenceRNNTest() local
4053 {input, weights, recurrentWeights, bias, hiddenState, activation, timeMajor}, {output}); in unidirectionlSequenceRNNTest()