| /frameworks/ml/nn/common/operations/ |
| D | Normalization.cpp | 30 int32_t radius, float bias, float alpha, float beta, in localResponseNormFloat32Impl()
60 float bias, float alpha, float beta, int32_t axis, in localResponseNormFloat16()
75 float bias, float alpha, float beta, int32_t axis, float* outputData, in localResponseNormFloat32()
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | local_response_norm_float_1.model.cpp | 10 auto bias = model->addOperand(&type2); in CreateModel() local
44 auto bias = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
|
| D | local_response_norm_float_2_relaxed.model.cpp | 10 auto bias = model->addOperand(&type2); in CreateModel() local
46 auto bias = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
|
| D | local_response_norm_float_4_relaxed.model.cpp | 10 auto bias = model->addOperand(&type2); in CreateModel() local
46 auto bias = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
|
| D | local_response_norm_float_2.model.cpp | 10 auto bias = model->addOperand(&type2); in CreateModel() local
44 auto bias = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
|
| D | local_response_norm_float_3_relaxed.model.cpp | 10 auto bias = model->addOperand(&type2); in CreateModel() local
46 auto bias = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
|
| D | local_response_norm_float_1_relaxed.model.cpp | 10 auto bias = model->addOperand(&type2); in CreateModel() local
46 auto bias = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
|
| D | local_response_norm_float_3.model.cpp | 10 auto bias = model->addOperand(&type2); in CreateModel() local
44 auto bias = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
|
| D | rnn_state.model.cpp | 14 auto bias = model->addOperand(&type3); in CreateModel() local
47 auto bias = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
|
| D | rnn.model.cpp | 14 auto bias = model->addOperand(&type3); in CreateModel() local
47 auto bias = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
|
| D | rnn_state_relaxed.model.cpp | 14 auto bias = model->addOperand(&type3); in CreateModel() local
49 auto bias = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
|
| D | rnn_relaxed.model.cpp | 14 auto bias = model->addOperand(&type3); in CreateModel() local
49 auto bias = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
|
| D | rnn_float16.model.cpp | 14 auto bias = model->addOperand(&type3); in CreateModel() local
47 auto bias = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| D | fully_connected_float_2.mod.py | 42 bias = Parameter("b0", "TENSOR_FLOAT32", "{16}", variable
|
| D | fully_connected_quant8_2.mod.py | 23 bias = Parameter("b0", "TENSOR_INT32", "{3}, 0.25f, 0", [4, 8, 12]) variable
|
| D | fully_connected_quant8.mod.py | 20 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.25f, 0", [4]) variable
|
| D | fully_connected_quant8_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.25f, 0") variable
|
| D | fully_connected_float_large_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
|
| D | fully_connected_float_large.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [900000]) variable
|
| D | fully_connected_quant8_large_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0") variable
|
| D | fully_connected_float_3.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [1]) variable
|
| D | fully_connected_quant8_large.mod.py | 20 bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.04, 0", [10]) variable
|
| D | fully_connected_float_weights_as_inputs.mod.py | 20 bias = Input("b0", "TENSOR_FLOAT32", "{1}") variable
|
| D | fully_connected_float.mod.py | 20 bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [4]) variable
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| D | fully_connected_float_4d_simple.mod.py | 28 bias = Parameter("b0", "TENSOR_FLOAT32", "{3}", [1, 2, 3]) variable
|