| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | fully_connected_quant8_signed.mod.py | 19 weights = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{3, 10}, 0.5f, -1", variable
42 weights = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 5}, 0.2, -128", [-118, -108, -108, -1… variable
61 weights = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 5}, 0.2, -128") # num_units = 1, input_si… variable
84 weights = Parameter("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1}, 0.5f, -128", [-126]) variable
103 weights = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1}, 0.5f, -128") variable
124 weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 1}", [2]) variable
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| /packages/modules/NeuralNetworks/common/types/operations/src/ |
| D | FullyConnected.cpp | 26 bool validateShapes(const Shape& input, const Shape& weights, const Shape& bias, Shape* output) { in validateShapes()
124 Shape weights = context->getInputShape(kWeightsTensor); in validate() local
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | fully_connected_float_large.mod.py | 19 weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 5}", [2, 3, 4, 5, 6]) # num_units = 1, input_size… variable
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| D | fully_connected_float_weights_as_inputs.mod.py | 19 weights = Input("op2", "TENSOR_FLOAT32", "{1, 1}") variable
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| D | fully_connected_quant8.mod.py | 19 weights = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 1}, 0.5f, 0", [2]) variable
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| D | fully_connected_quant8_large.mod.py | 19 weights = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 5}, 0.2, 0", [10, 20, 20, 20, 10]) # num_uni… variable
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| D | fully_connected_quant8_weights_as_inputs.mod.py | 19 weights = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 1}, 0.5f, 0") variable
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| D | fully_connected_float_large_weights_as_inputs.mod.py | 19 weights = Input("op2", "TENSOR_FLOAT32", "{1, 5}") # num_units = 1, input_size = 5 variable
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| D | fully_connected_quant8_large_weights_as_inputs.mod.py | 19 weights = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 5}, 0.2, 0") # num_units = 1, input_size = 5 variable
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| D | fully_connected_float_2.mod.py | 19 weights = Parameter("op2", "TENSOR_FLOAT32", "{16, 8}", variable
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| D | fully_connected_float.mod.py | 19 weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 1}", [2]) variable
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| D | fully_connected_float_3.mod.py | 19 weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 2}", [2, 4]) variable
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| D | fully_connected_quant8_2.mod.py | 19 weights = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 10}, 0.5f, 127", variable
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| D | rnn_state.mod.py | 24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size)) variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | fully_connected_float_4d_simple.mod.py | 23 weights = Parameter("op2", "TENSOR_FLOAT32", "{3, 10}", [ variable
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| D | fully_connected_float_4d_simple_relaxed.mod.py | 23 weights = Parameter("op2", "TENSOR_FLOAT32", "{3, 10}", [ variable
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| D | fully_connected_float_large_weights_as_inputs_relaxed.mod.py | 19 weights = Input("op2", "TENSOR_FLOAT32", "{1, 5}") # num_units = 1, input_size = 5 variable
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| D | fully_connected_float_weights_as_inputs_relaxed.mod.py | 19 weights = Input("op2", "TENSOR_FLOAT32", "{1, 1}") variable
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| D | fully_connected_float_2_relaxed.mod.py | 19 weights = Parameter("op2", "TENSOR_FLOAT32", "{16, 8}", variable
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| D | fully_connected_float_relaxed.mod.py | 19 weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 1}", [2]) variable
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| D | fully_connected_float_large_relaxed.mod.py | 19 weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 5}", [2, 3, 4, 5, 6]) # num_units = 1, input_size… variable
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| D | rnn_state_relaxed.mod.py | 24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size)) variable
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| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | QuantizedLSTM.cpp | 212 uint8_t* weights) { in assignWeightsSubmatrix()
270 auto checkWeightsShape = [&](const RunTimeOperandInfo* weights, uint32_t columns) -> bool { in prepare()
354 uint8_t* weights) { in concatenateWeights()
384 std::vector<uint8_t> weights(getNumberOfElements(weightsShape)); in eval() local
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| D | UnidirectionalSequenceRNN.cpp | 56 const T* weights = context->getInputBuffer<T>(kWeightsTensor); in executeTyped() local
120 Shape weights = context->getInputShape(kWeightsTensor); in prepare() local
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| /packages/modules/NeuralNetworks/runtime/test/ |
| D | TestMemory.cpp | 61 WrapperMemory weights(offsetForMatrix3 + sizeof(matrix3), PROT_READ, fd, 0); in TEST_F() local
124 WrapperMemory weights(buffer); in TEST_F() local
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