| /frameworks/base/libs/hwui/utils/ |
| D | Blur.cpp | 61 void Blur::generateGaussianWeights(float* weights, float radius) { in generateGaussianWeights()
94 void Blur::horizontal(float* weights, int32_t radius, const uint8_t* source, uint8_t* dest, in horizontal()
137 void Blur::vertical(float* weights, int32_t radius, const uint8_t* source, uint8_t* dest, in vertical()
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| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | rnn_state.model.cpp | 12 auto weights = model->addOperand(&type1); in CreateModel() local
45 auto weights = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
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| D | rnn.model.cpp | 12 auto weights = model->addOperand(&type1); in CreateModel() local
45 auto weights = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
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| D | rnn_state_relaxed.model.cpp | 12 auto weights = model->addOperand(&type1); in CreateModel() local
47 auto weights = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
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| D | rnn_float16.model.cpp | 12 auto weights = model->addOperand(&type1); in CreateModel() local
45 auto weights = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
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| D | rnn_relaxed.model.cpp | 12 auto weights = model->addOperand(&type1); in CreateModel() local
47 auto weights = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| 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_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_2.mod.py | 19 weights = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{3, 10}, 0.5f, 127", 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_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_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_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_3.mod.py | 19 weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 2}", [2, 4]) variable
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| 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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| /frameworks/ml/nn/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_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 | 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_4d_simple_relaxed.mod.py | 23 weights = Parameter("op2", "TENSOR_FLOAT32", "{3, 10}", [ 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_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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| /frameworks/ml/nn/runtime/test/ |
| D | TestMemory.cpp | 56 WrapperMemory weights(offsetForMatrix3 + sizeof(matrix3), PROT_READ, fd, 0); in TEST_F() local
114 WrapperMemory weights(buffer); in TEST_F() local
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