| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | detection_postprocess.mod.py | 20 i3 = Input("anchors", "TENSOR_FLOAT32", "{6, 4}") # anchors variable
71 i3 = Input("anchors", "TENSOR_FLOAT32", "{6, 4}") # anchors variable
122 i3 = Input("anchors", "TENSOR_FLOAT32", "{6, 4}") # anchors variable
173 i3 = Input("anchors", "TENSOR_FLOAT32", "{6, 4}") # anchors variable
|
| D | box_with_nms_limit_linear.mod.py | 20 i3 = Input("batchSplit", "TENSOR_INT32", "{19}") # batchSplit variable
114 i3 = Input("batchSplit", "TENSOR_INT32", "{19}") # batchSplit variable
|
| D | box_with_nms_limit_gaussian.mod.py | 20 i3 = Input("batchSplit", "TENSOR_INT32", "{19}") # batchSplit variable
116 i3 = Input("batchSplit", "TENSOR_INT32", "{19}") # batchSplit variable
|
| D | box_with_nms_limit_hard.mod.py | 20 i3 = Input("batchSplit", "TENSOR_INT32", "{19}") # batchSplit variable
107 i3 = Input("batchSplit", "TENSOR_INT32", "{19}") # batchSplit variable
|
| D | generate_proposals.mod.py | 23 i3 = Input("anchors", "TENSOR_FLOAT32", "{2, 4}") # anchors variable
72 i3 = Input("anchors", "TENSOR_FLOAT32", "{4, 4}") # anchors variable
|
| D | div_v1_2.mod.py | 22 i3 = Output("op3", "TENSOR_FLOAT16", "{3}") variable
44 i3 = Output("op3", "TENSOR_FLOAT16", "{2, 2}") variable
|
| D | mul_v1_2.mod.py | 22 i3 = Output("op3", "TENSOR_FLOAT16", "{3}") variable
44 i3 = Output("op3", "TENSOR_FLOAT16", "{2, 2}") variable
|
| D | add_v1_2.mod.py | 22 i3 = Output("op3", "TENSOR_FLOAT16", "{3}") variable
44 i3 = Output("op3", "TENSOR_FLOAT16", "{2, 2}") variable
|
| D | reshape_float16.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT16", "{9}") variable
|
| D | pad_float16.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT16", "{1, 4, 4, 1}") variable
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| D | logistic_float_1.mod.py | 21 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
|
| D | logistic_quant8_1.mod.py | 21 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.00390625f, 0") variable
|
| D | reshape_weights_as_inputs.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT32", "{9}") variable
|
| D | reshape.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT32", "{9}") variable
|
| D | reshape_quant8_weights_as_inputs.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{9}, 1.f, 0") variable
|
| D | reshape_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{9}, 1.f, 0") variable
|
| D | mul_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2}, 2.0, 0") variable
|
| D | add.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{2}") variable
|
| D | mul_relu.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| D | pad.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 4, 4, 1}") variable
|
| D | logistic_float_1_relaxed.mod.py | 21 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
|
| D | pad_float_1.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 4, 7, 1}") variable
|
| D | pad_float_1_relaxed.mod.py | 21 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 4, 7, 1}") variable
|
| D | sub_broadcast_float.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{2, 2}") variable
|
| D | div_broadcast_float.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{2, 2}") variable
|