| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | max_pool_quant8_3.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
41 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | max_pool_float_3_relaxed.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
43 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | max_pool_quant8_2.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
41 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | avg_pool_quant8_2.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
41 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | avg_pool_float_3_relaxed.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
43 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | avg_pool_float_2_relaxed.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
43 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | max_pool_float_2.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
41 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | avg_pool_quant8_3.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
41 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | max_pool_float_3.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
41 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | avg_pool_float_2.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
41 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | avg_pool_float_4_relaxed.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
43 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | max_pool_float_2_relaxed.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
43 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | avg_pool_float_4.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
41 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| D | avg_pool_float_3.model.cpp | 8 auto i0 = model->addOperand(&type0); in CreateModel() local
41 auto i0 = model->addOperand(&type0); in CreateModel_dynamic_output_shape() local
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| /frameworks/base/media/tests/audiotests/ |
| D | shared_mem_test.cpp | 137 for(int i0=0; i0<bufferSz; i0++) { in Generate() local
175 for(int i0 = 0; i0<SIN_SZ; i0++) { in InitSine() local
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| D | relu_quant8_2.mod.py | 25 i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 1.f, 128" % (d0, d1, d2, d3)) variable
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| D | logistic_quant8_2.mod.py | 25 i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, .5f, 0" % (d0, d1, d2, d3)) variable
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| D | logistic_float_2.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
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| D | relu6_float_2.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
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| D | relu1_float_2.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
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| D | relu_float_2.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
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| D | relu6_quant8_2.mod.py | 25 i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 1.f, 128" % (d0, d1, d2, d3)) variable
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| D | relu1_quant8_2.mod.py | 25 i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 1.f, 128" % (d0, d1, d2, d3)) variable
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| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| D | relu1_float_2_relaxed.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
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| D | relu_float_2_relaxed.mod.py | 25 i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3)) variable
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