Home
last modified time | relevance | path

Searched refs:input_weights (Results 1 – 5 of 5) sorted by relevance

/aosp12/packages/modules/NeuralNetworks/common/operations/
H A DRNN.cpp54 const RunTimeOperandInfo* input_weights = GetInput(operation, operands, kWeightsTensor); in Prepare() local
62 const uint32_t num_units = SizeOfDimension(input_weights, 0); in Prepare()
63 NN_CHECK_EQ(SizeOfDimension(input, 1), SizeOfDimension(input_weights, 1)); in Prepare()
64 NN_CHECK_EQ(SizeOfDimension(input_weights, 0), SizeOfDimension(bias, 0)); in Prepare()
/aosp12/hardware/interfaces/neuralnetworks/1.0/
H A Dtypes.hal1242 * outputs = state = activation(inputs * input_weights +
1246 * * “input_weights” is a weight matrix that multiplies the inputs;
/aosp12/hardware/interfaces/neuralnetworks/1.2/
H A Dtypes.hal1610 * outputs = state = activation(inputs * input_weights +
1614 * * “input_weights” is a weight matrix that multiplies the inputs;
4573 * outputs[s] = state = activation(inputs[s] * input_weights’ + state *
4577 * * “input_weights” is a weight matrix that multiplies the inputs;
/aosp12/hardware/interfaces/neuralnetworks/1.3/
H A Dtypes.hal1648 * outputs = state = activation(inputs * input_weights +
1652 * * “input_weights” is a weight matrix that multiplies the inputs;
4844 * outputs[s] = state = activation(inputs[s] * input_weights’ + state *
4848 * * “input_weights” is a weight matrix that multiplies the inputs;
/aosp12/packages/modules/NeuralNetworks/tools/api/
H A Dtypes.spec2174 * outputs = state = activation(inputs * input_weights +
2178 * * “input_weights” is a weight matrix that multiplies the inputs;