| /frameworks/ml/nn/runtime/test/specs/V1_3/ |
| D | box_with_nms_limit_quant8_signed.mod.py | 19 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
116 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
205 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
293 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
379 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
474 i2 = Input("roi", "TENSOR_FLOAT32", "{19, 12}") # roi variable
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| D | mul_quant8_signed.mod.py | 19 i2 = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 2}, 1.0, -128") variable
40 i2 = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128") variable
76 i2 = Parameter("op", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [1, 2, 3, 4]) # weights variable
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| D | add_quant8_signed.mod.py | 19 i2 = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, 0") variable
40 i2 = Input("op2", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 2}, 1.0, 0") variable
76 i2 = Parameter("op", "TENSOR_FLOAT32", "{1, 2, 2, 1}", [1, 2, 3, 4]) # weights variable
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| D | generate_proposals_quant8_signed.mod.py | 21 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 | dequantize_quant8_signed.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
63 i2 = Output("op2", "TENSOR_FLOAT16", "{1, 2, 2, 1}") variable
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| /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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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/ml/nn/runtime/test/specs/V1_0/ |
| D | l2_normalization.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 3}") 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_large.mod.py | 19 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 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 | floor.mod.py | 4 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 2}") 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 | relu1_float_1.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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| D | relu_float_1.mod.py | 20 i2 = Output("op2", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
|