| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | detection_postprocess.mod.py | 19 i2 = Input("roi", "TENSOR_FLOAT32", "{1, 6, 4}") # roi variable
70 i2 = Input("roi", "TENSOR_FLOAT32", "{1, 6, 4}") # roi variable
121 i2 = Input("roi", "TENSOR_FLOAT32", "{1, 6, 7}") # roi variable
172 i2 = Input("roi", "TENSOR_FLOAT32", "{1, 6, 7}") # roi variable
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| D | div_v1_2.mod.py | 20 i2 = Input("op2", "TENSOR_FLOAT16", "{3}") # another vector of 3 float16s variable
42 i2 = Input("op2", "TENSOR_FLOAT16", "{1, 2}") variable
78 i2 = Parameter("op", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [1, 2, 3, 4]) # weights variable
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| D | depthwise_conv2d_dilation.mod.py | 47 i2 = Input("op1", "TENSOR_FLOAT32", "{1, 4, 4, 2}") variable
102 i2 = Input("op1", "TENSOR_FLOAT32", "{1, 4, 4, 2}") variable
129 i2 = Input("op1", "TENSOR_FLOAT32", "{1, 6, 6, 1}") variable
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| D | mul_v1_2.mod.py | 20 i2 = Input("op2", "TENSOR_FLOAT16", "{3}") # another vector of 3 float16s variable
42 i2 = Input("op2", "TENSOR_FLOAT16", "{2, 2}") variable
78 i2 = Parameter("op", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [1, 2, 3, 4]) # weights variable
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| D | add_v1_2.mod.py | 20 i2 = Input("op2", "TENSOR_FLOAT16", "{3}") # another vector of 3 float16s variable
42 i2 = Input("op2", "TENSOR_FLOAT16", "{2, 2}") variable
78 i2 = Parameter("op", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [1, 2, 3, 4]) # weights variable
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| D | box_with_nms_limit_linear.mod.py | 19 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
113 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
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| D | box_with_nms_limit_hard.mod.py | 19 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
106 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
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| D | box_with_nms_limit_gaussian.mod.py | 19 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
115 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
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| D | generate_proposals.mod.py | 22 i2 = Input("bboxDeltas", "TENSOR_FLOAT32", "{1, 2, 2, 8}") # bounding box deltas variable
71 i2 = Input("bboxDeltas", "TENSOR_FLOAT32", "{2, 4, 4, 16}") # bounding box deltas variable
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| D | conv2d_dilation.mod.py | 42 i2 = Input("op1", "TENSOR_FLOAT32", "{1, 9, 9, 1}") variable
93 i2 = Input("op1", "TENSOR_FLOAT32", "{1, 9, 9, 1}") variable
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| D | instance_normalization.mod.py | 40 i2 = Input("in", "TENSOR_FLOAT32", "{2, 2, 2, 2}") variable
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| D | floor_float16.mod.py | 4 i2 = Output("op2", "TENSOR_FLOAT16", "{1, 2, 2, 2}") variable
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| /frameworks/native/libs/input/tests/ |
| D | InputWindow_test.cpp | 35 InputWindowInfo i2 = InputWindowInfo::read(p); in TEST() local
73 InputWindowInfo i2 = InputWindowInfo::read(p); in TEST() local
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| /frameworks/base/core/java/android/os/ |
| D | WorkSource.java | 558 int i1 = 0, i2 = 0; in removeUids() local
592 int i1 = 0, i2 = 0; in removeUidsAndNames() local
652 int i1 = 0, i2 = 0; in updateUidsLocked() local
722 private int compare(WorkSource other, int i1, int i2) { in compare()
743 int i1 = 0, i2 = 0; in updateUidsAndNamesLocked() local
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| D | relu_float_1.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 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 | l2_normalization.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 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 | dequantize.mod.py | 4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | l2_normalization_2.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 6}") variable
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| D | l2_normalization_large.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 3}") 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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| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| D | relu6_float_1_relaxed.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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| D | pad_float_1.mod.py | 4 i2 = Parameter("op2", "TENSOR_INT32", "{4, 2}", [0, 0, 0, 2, 1, 3, 0, 0]) variable
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