Searched refs:input_size (Results 1 – 4 of 4) sorted by relevance
| /hardware/qcom/neuralnetworks/hvxservice/1.0/ |
| D | HexagonModel.cpp | 237 uint32_t input_size = dims[3]; in createFullyConnectedWeightTensor() local
240 num_units, input_size, reinterpret_cast<const float*>(operandInfo.buffer)); in createFullyConnectedWeightTensor()
241 return createTensorInternal(1, 1, input_size, num_units, in createFullyConnectedWeightTensor()
246 num_units, input_size, reinterpret_cast<const uint8_t*>(operandInfo.buffer)); in createFullyConnectedWeightTensor()
247 return createTensorInternal(1, 1, input_size, num_units, in createFullyConnectedWeightTensor()
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| /hardware/interfaces/neuralnetworks/1.0/ |
| D | types.hal | 549 * [batch_size, input_size], where "input_size" corresponds to the
552 * elements by "input_size".
554 * [num_units, input_size], where "num_units" corresponds to the number
929 * A 2-D tensor of shape [batch_size, input_size], where “batch_size”
930 * corresponds to the batching dimension, and “input_size” is the size
933 * A 2-D tensor of shape [num_units, input_size], where “num_units”
936 * A 2-D tensor of shape [num_units, input_size].
938 * A 2-D tensor of shape [num_units, input_size].
940 * A 2-D tensor of shape [num_units, input_size].
1260 * A 2-D tensor of shape [batch_size, input_size], where “batch_size”
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| /hardware/interfaces/neuralnetworks/1.2/ |
| D | types.hal | 766 * [batch_size, input_size], where "input_size" corresponds to the
769 * elements by "input_size".
772 * [num_units, input_size], where "num_units" corresponds to the number
1214 * A 2-D tensor of shape [batch_size, input_size], where “batch_size”
1215 * corresponds to the batching dimension, and “input_size” is the size
1218 * A 2-D tensor of shape [num_units, input_size], where “num_units”
1221 * A 2-D tensor of shape [num_units, input_size].
1223 * A 2-D tensor of shape [num_units, input_size].
1225 * A 2-D tensor of shape [num_units, input_size].
1628 * A 2-D tensor of shape [batch_size, input_size], where “batch_size”
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| /hardware/interfaces/neuralnetworks/1.3/ |
| D | types.hal | 752 * [batch_size, input_size], where "input_size" corresponds to the
755 * elements by "input_size".
758 * [num_units, input_size], where "num_units" corresponds to the number
1211 * A 2-D tensor of shape [batch_size, input_size], where “batch_size”
1212 * corresponds to the batching dimension, and “input_size” is the size
1215 * A 2-D tensor of shape [num_units, input_size], where “num_units”
1218 * A 2-D tensor of shape [num_units, input_size].
1220 * A 2-D tensor of shape [num_units, input_size].
1222 * A 2-D tensor of shape [num_units, input_size].
1664 * A 2-D tensor of shape [batch_size, input_size], where “batch_size”
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