| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ | 
| D | fully_connected_quant8_signed.mod.py | 23 bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12])  variable 43 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.04, 0", [10])  variable 62 bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0")  variable 85 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.25f, 0", [4])  variable 104 bias = Input("b0", "TENSOR_INT32", "{1}, 0.25f, 0")  variable 125 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4])  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() 125     Shape bias = context->getInputShape(kBiasTensor);  in validate()  local
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| /packages/modules/NeuralNetworks/common/cpu_operations/ | 
| D | LocalResponseNormalization.cpp | 46                                          int32_t radius, float bias, float alpha, float beta,  in localResponseNormFloat32Impl() 81                               float bias, float alpha, float beta, int32_t axis, float* outputData,  in localResponseNorm() 103                                  _Float16 bias, _Float16 alpha, _Float16 beta, int32_t axis,  in localResponseNorm()
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ | 
| D | fully_connected_float_3.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [1])  variable
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| D | fully_connected_float.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4])  variable
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| D | fully_connected_quant8_2.mod.py | 23 bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12])  variable
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| D | fully_connected_quant8.mod.py | 20 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.25f, 0", [4])  variable
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| D | fully_connected_float_2.mod.py | 42 bias = Parameter("b0", "TENSOR_FLOAT32", "{16}",  variable
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| D | fully_connected_float_large_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}")  variable
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| D | fully_connected_quant8_large_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0")  variable
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| D | fully_connected_quant8_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.25f, 0")  variable
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| D | fully_connected_float_large.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [900000])  variable
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| D | fully_connected_quant8_large.mod.py | 20 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.04, 0", [10])  variable
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| D | fully_connected_float_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}")  variable
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| D | local_response_norm_float_1.mod.py | 4 bias = Float32Scalar("bias", 9.)  variable
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| D | local_response_norm_float_4.mod.py | 4 bias = Float32Scalar("bias", 9.)  variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ | 
| D | fully_connected_float_4d_simple.mod.py | 28 bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3])  variable
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| D | fully_connected_float_large_weights_as_inputs_relaxed.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}")  variable
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| D | fully_connected_float_4d_simple_relaxed.mod.py | 28 bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3])  variable
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| D | fully_connected_float_relaxed.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4])  variable
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| D | fully_connected_float_2_relaxed.mod.py | 42 bias = Parameter("b0", "TENSOR_FLOAT32", "{16}",  variable
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| D | fully_connected_float_weights_as_inputs_relaxed.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}")  variable
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| D | fully_connected_float_large_relaxed.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [900])  variable
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| D | local_response_norm_float_4_relaxed.mod.py | 20 bias = Float32Scalar("bias", 9.)  variable
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| D | local_response_norm_float_1_relaxed.mod.py | 20 bias = Float32Scalar("bias", 9.)  variable
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