| /frameworks/ml/nn/tools/test_generator/tests/P_vts_operands/ |
| D | addfloat.mod.py | 5 i2 = Input("operand2","TENSOR_FLOAT32", "{3,4}") variable
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| /frameworks/ml/nn/tools/test_generator/tests/P_float/ |
| D | addfloat.mod.py | 3 i2 = Input("operand2","TENSOR_FLOAT32", "{3,4}") variable
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| /frameworks/ml/nn/runtime/test/specs/ |
| D | l2_normalization_large.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}") variable
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| D | relu1_float_1.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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| D | l2_normalization.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable
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| D | relu6_float_1.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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| D | dequantize.mod.py | 4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | tanh.mod.py | 5 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | floor.mod.py | 4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}") variable
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| D | relu_float_1.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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| D | reshape_weights_as_inputs.mod.py | 4 i2 = Input("op2", "TENSOR_INT32", "{1}") # another vector of 2 float32s variable
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| D | reshape_quant8_weights_as_inputs.mod.py | 5 i2 = Input("op2", "TENSOR_INT32", "{1}") variable
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| D | reshape_quant8.mod.py | 5 i2 = Parameter("op2", "TENSOR_INT32", "{1}", [-1]) variable
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| D | reshape.mod.py | 4 i2 = Parameter("op2", "TENSOR_INT32", "{1}", [-1]) # another vector of 2 float32s variable
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| D | mul_relu.mod.py | 4 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | mul.mod.py | 4 i2 = Input("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | concat_float_1.mod.py | 20 i2 = Input("op2", "TENSOR_FLOAT32", "{2, 3}") # input tensor 1 variable
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| D | mul_broadcast_quant8.mod.py | 4 i2 = Input("op2", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0") variable
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| D | add.mod.py | 4 i2 = Input("op2", "TENSOR_FLOAT32", "{2}") # another vector of 2 float32s variable
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| D | relu6_quant8_1.mod.py | 20 i2 = Output("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0") # output 0 variable
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| D | resize_bilinear.mod.py | 4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable
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| D | concat_quant8_1.mod.py | 20 i2 = Input("op2", "TENSOR_QUANT8_ASYMM", "{2, 3}, 0.5f, 0") # input 1 variable
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| /frameworks/ml/nn/tools/test_generator/tests/P_explicit/ |
| D | explicit_add.mod.py | 2 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # output 0 variable
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| /frameworks/base/core/java/android/os/ |
| D | WorkSource.java | 365 int i1 = 0, i2 = 0; in removeUids() local
399 int i1 = 0, i2 = 0; in removeUidsAndNames() local
459 int i1 = 0, i2 = 0; in updateUidsLocked() local
529 private int compare(WorkSource other, int i1, int i2) { in compare()
550 int i1 = 0, i2 = 0; in updateUidsAndNamesLocked() local
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| /frameworks/ml/nn/tools/test_generator/tests/P_full/ |
| D | addfloat.mod.py | 4 i2 = Input("op2", "TENSOR_FLOAT32", "{2}") # another vector of 2 float32s variable
|