/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
H A D | box_with_nms_limit_quant8_signed.mod.py | 24 o3 = Output("classesOut", "TENSOR_INT32", "{18}") # classes out variable 121 o3 = Output("classesOut", "TENSOR_INT32", "{10}") # classes out variable 210 o3 = Output("classesOut", "TENSOR_INT32", "{12}") # classes out variable 298 o3 = Output("classesOut", "TENSOR_INT32", "{10}") # classes out variable 384 o3 = Output("classesOut", "TENSOR_INT32", "{16}") # classes out variable 479 o3 = Output("classesOut", "TENSOR_INT32", "{15}") # classes out variable
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H A D | generate_proposals_quant8_signed.mod.py | 26 o3 = Output("batchSplit", "TENSOR_INT32", "{4}") # batch split out variable 76 o3 = Output("batchSplit", "TENSOR_INT32", "{30}") # batch split out variable
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H A D | resize_quant8_signed.mod.py | 69 o3 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable 108 o3 = Output("out", "TENSOR_FLOAT32", "{0, 3, 3, 1}") # out variable 146 o3 = Output("out", "TENSOR_FLOAT32", "{0, 3, 3, 1}") # out variable 356 o3 = Output("out", "TENSOR_FLOAT32", "{0, 3, 3, 1}") # out variable 394 o3 = Output("out", "TENSOR_FLOAT32", "{0, 3, 3, 1}") # out variable
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H A D | transpose_quant8_signed.mod.py | 141 o3 = Output("op4", "TENSOR_FLOAT32", "{1, 4, 4, 1}") # output variable 234 o3 = Output("out", "TENSOR_FLOAT32", "{0, 5, 5, 2}") # out variable 276 o3 = Output("out", "TENSOR_FLOAT32", "{0, 3, 3, 1}") # out variable 397 o3 = Output("out", "TENSOR_FLOAT32", "{0, 1, 2, 2}") # out variable
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H A D | transpose_conv2d_quant8_signed.mod.py | 140 o3 = Output("op4", "TENSOR_FLOAT32", "{1, 4, 4, 1}") # output variable 233 o3 = Output("out", "TENSOR_FLOAT32", "{0, 5, 5, 2}") # out variable 275 o3 = Output("out", "TENSOR_FLOAT32", "{0, 3, 3, 1}") # out variable
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H A D | roi_pooling_quant8_signed.mod.py | 118 o3 = Output("out", "TENSOR_FLOAT32", "{5, 2, 2, 1}") variable
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/aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
H A D | detection_postprocess.mod.py | 24 o3 = Output("classesOut", "TENSOR_INT32", "{1, 3}") # classes out variable 75 o3 = Output("classesOut", "TENSOR_INT32", "{1, 3}") # classes out variable 126 o3 = Output("classesOut", "TENSOR_INT32", "{1, 3}") # classes out variable 177 o3 = Output("classesOut", "TENSOR_INT32", "{1, 3}") # classes out variable
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H A D | l2_pool_v1_2.mod.py | 45 o3 = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable 72 o3 = Output("out", "TENSOR_FLOAT32", "{0, 1, 1, 1}") # out variable 100 o3 = Output("out", "TENSOR_FLOAT32", "{0, 2, 2, 1}") # out variable
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H A D | resize_bilinear_v1_2.mod.py | 69 o3 = Output("op4", "TENSOR_FLOAT32", "{1, 3, 3, 1}") variable 108 o3 = Output("out", "TENSOR_FLOAT32", "{0, 3, 3, 1}") # out variable 146 o3 = Output("out", "TENSOR_FLOAT32", "{0, 3, 3, 1}") # out variable
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H A D | box_with_nms_limit_gaussian.mod.py | 24 o3 = Output("classesOut", "TENSOR_INT32", "{18}") # classes out variable 120 o3 = Output("classesOut", "TENSOR_INT32", "{10}") # classes out variable
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H A D | box_with_nms_limit_hard.mod.py | 24 o3 = Output("classesOut", "TENSOR_INT32", "{12}") # classes out variable 111 o3 = Output("classesOut", "TENSOR_INT32", "{10}") # classes out variable
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H A D | box_with_nms_limit_linear.mod.py | 24 o3 = Output("classesOut", "TENSOR_INT32", "{16}") # classes out variable 118 o3 = Output("classesOut", "TENSOR_INT32", "{15}") # classes out variable
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H A D | generate_proposals.mod.py | 27 o3 = Output("batchSplit", "TENSOR_INT32", "{4}") # batch split out variable 76 o3 = Output("batchSplit", "TENSOR_INT32", "{30}") # batch split out variable
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H A D | concat_zero_sized.mod.py | 35 o3 = Output("out", "TENSOR_FLOAT32", "{0, 2, 2, 2}") # out variable 75 o3 = Output("out", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # out variable
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H A D | max_pool_v1_2.mod.py | 77 o3 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) variable 128 o3 = Output("out", "TENSOR_FLOAT32", "{0, 1, 1, 1}") # out variable 166 o3 = Output("out", "TENSOR_FLOAT32", "{0, 2, 2, 1}") # out variable
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H A D | instance_normalization.mod.py | 61 o3 = Output("out", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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H A D | avg_pool_v1_2.mod.py | 79 o3 = Output("op4", ("TENSOR_FLOAT32", [bat, output_row, output_col, chn])) variable 158 o3 = Output("out", "TENSOR_FLOAT32", "{0, 1, 1, 1}") # out variable 196 o3 = Output("out", "TENSOR_FLOAT32", "{0, 2, 2, 1}") # out variable
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H A D | transpose_conv2d.mod.py | 105 o3 = Output("op4", "TENSOR_FLOAT32", "{1, 4, 4, 1}") # output variable 198 o3 = Output("out", "TENSOR_FLOAT32", "{0, 5, 5, 2}") # out variable 240 o3 = Output("out", "TENSOR_FLOAT32", "{0, 3, 3, 1}") # out variable
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H A D | conv2d_v1_2.mod.py | 79 o3 = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 3}") variable 233 o3 = Output("out", "TENSOR_FLOAT32", "{0, 2, 2, 2}") # out variable 275 o3 = Output("out", "TENSOR_FLOAT32", "{0, 2, 2, 2}") # out variable
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H A D | depth_to_space_v1_2.mod.py | 57 o3 = Output("op4", "TENSOR_FLOAT32", "{1, 4, 4, 2}") variable
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H A D | depthwise_conv2d_per_channel.mod.py | 57 o3 = Output("op4", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 4}, 1.f, 128") variable
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H A D | roi_pooling.mod.py | 118 o3 = Output("out", "TENSOR_FLOAT32", "{5, 2, 2, 1}") variable
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H A D | space_to_depth_v1_2.mod.py | 57 o3 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 8}") variable
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/aosp12/frameworks/base/services/tests/servicestests/src/com/android/server/om/ |
H A D | OverlayManagerServiceImplRebootTests.java | 88 final OverlayInfo o3 = impl.getOverlayInfo(IDENTIFIER, USER); in testImmutableEnabledChange() local 119 final OverlayInfo o3 = impl.getOverlayInfo(IDENTIFIER, USER); in testMutableEnabledChangeHasNoEffect() local 206 final OverlayInfo o3 = impl.getOverlayInfo(IDENTIFIER, USER); in testMutablePriorityChange() local 245 final OverlayInfo o3 = impl.getOverlayInfo(IDENTIFIER, USER); in testImmutablePriorityChange() local
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/aosp12/packages/modules/NeuralNetworks/tools/test_generator/tests/P_implicit_parameter/ |
H A D | mean_implicit.mod.py | 19 o3 = Output("o3", ("TENSOR_FLOAT32", [1])) # output for model3 variable
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