/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | resize_nearest_neighbor.mod.py | 36 Example(test1, model=model_shape).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… 37 Example(test1, model=model_scale).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… 57 Example(test2, model=model_shape).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… 58 Example(test2, model=model_scale).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… 78 Example(test3, model=model_shape).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… 79 Example(test3, model=model_scale).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… 99 Example(test4, model=model_shape).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… 100 Example(test4, model=model_scale).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… 120 Example(test5, model=model_shape).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… 121 Example(test5, model=model_scale).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16… [all …]
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D | resize_bilinear_v1_2.mod.py | 39 Example(test1, model=model_shape).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant… 40 Example(test1, model=model_scale).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant… 63 Example(test2, model=model_shape).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant… 64 Example(test2, model=model_scale).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant… 87 Example(test3, model=model_shape).AddVariations("float16", quant8, includeDefault=False) 88 Example(test3, model=model_scale).AddVariations("float16", quant8, includeDefault=False) 127 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16") 166 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
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D | conv2d_v1_2.mod.py | 44 }).AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations("relaxed", quant8, channelQuant8, "float1… 72 }).AddNchw(i2, o2, layout).AddInput(f2, b2).AddVariations("relaxed", quant8, channelQuant8, "float1… 100 }).AddNchw(i3, o3, layout).AddInput(f3, b3).AddVariations("relaxed", quant8, channelQuant8, "float1… 140 }).AddNchw(i4, o4, layout).AddInput(f4, b4).AddVariations("relaxed", quant8, channelQuant8, channel… 158 }, model=model_1_same).AddNchw(i5, o5, layout).AddVariations("relaxed", "float16") 166 }, model=model_1_valid).AddNchw(i5, o6, layout).AddVariations("relaxed", "float16") 184 }, model=model_3_same).AddNchw(i7, o7, layout).AddVariations("relaxed", "float16") 192 }, model=model_3_valid).AddNchw(i7, o8, layout).AddVariations("relaxed", "float16") 211 }, model=model9).AddInput(f9, b9).AddVariations("relaxed") 254 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16") [all …]
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D | softmax_v1_2.mod.py | 44 Example(example1).AddVariations("relaxed", "float16", quant8).AddDims([1, 3], i, o) 47 Example(example2).AddVariations("relaxed", "float16", quant8).AddDims([1, 3], i, o) 52 Example(example1).AddVariations("relaxed", "float16", quant8).AddAllDimsAndAxis(i, o, axis) 55 Example(example2).AddVariations("relaxed", "float16", quant8).AddAllDimsAndAxis(i, o, axis) 99 }).AddVariations("relaxed", quant8, "float16")
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D | local_response_normalization_v1_2.mod.py | 26 })).AddRelaxed().AddAllDimsAndAxis(i, o, axis).AddVariations("float16") 32 })).AddRelaxed().AddAllDimsAndAxis(i, o, axis).AddVariations("float16") 38 })).AddRelaxed().AddAllDimsAndAxis(i, o, axis).AddVariations("float16") 44 })).AddRelaxed().AddDims([1, 2, 3], i, o, includeDefault=False).AddVariations("float16")
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D | roi_align.mod.py | 51 }).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16") 118 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16") 171 }).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8, "float16") 211 }).AddNchw(i4, o4, layout).AddVariations("relaxed", quant8, "float16") 245 }).AddNchw(i1, zero_sized, layout).AddVariations("relaxed", quant8, "float16") 265 }).AddNchw(i4, o4, layout).AddVariations("relaxed", quant8, "float16")
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D | l2_pool_v1_2.mod.py | 28 }).AddNchw(i1, o1, layout).AddRelaxed().AddVariations("float16") 40 }).AddNchw(i2, o2, layout).AddRelaxed().AddVariations("float16") 52 }).AddNchw(i3, o3, layout).AddRelaxed().AddVariations("float16") 81 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", "float16") 110 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", "float16")
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D | conv2d_dilation.mod.py | 38 }).AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations("relaxed", quant8, "float16") 68 }).AddNchw(i2, o2, layout).AddInput(f2, b2).AddVariations("relaxed", quant8, "float16") 89 }, name="valid_padding").AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations("relaxed", quant8, … 119 }, name="valid_padding").AddNchw(i2, o2, layout).AddInput(f2, b2).AddVariations("relaxed", quant8, … 146 }).AddNchw(i3, o3, layout).AddInput(f3, b3).AddVariations("relaxed", quant8, "float16")
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D | space_to_batch_v1_2.mod.py | 35 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8) 53 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8) 73 }).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8) 94 }).AddNchw(i4, o4, layout).AddVariations("relaxed", "float16", quant8)
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D | transpose_conv2d.mod.py | 65 }).AddNchw(i1, o1, s1, layout).AddAllActivations(o1, act).AddVariations("relaxed", quant8, quant8_m… 97 }).AddNchw(i2, o2, s2, layout).AddVariations("relaxed", quant8, channelQuant8, "float16").AddInput(… 123 }).AddNchw(i3, o3, s3, layout).AddVariations("relaxed", quant8, "float16").AddInput(w3, b3) 151 }).AddNchw(i4, o4, s4, layout).AddVariations("relaxed", quant8, "float16").AddInput(w4, b4) 175 }).AddNchw(i5, o5, layout).AddVariations("relaxed", quant8, "float16").AddInput(w5, b5) 219 }).AddNchw(i1, zero_sized, o3, s, layout).AddVariations("relaxed", quant8, "float16") 262 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16") 284 }).AddNchw(i8, o8, s8, layout).AddVariations("relaxed", quant8, "float16").AddInput(w8, b8)
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D | avg_pool_v1_2.mod.py | 34 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8) 62 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8) 90 }).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8) 118 }).AddNchw(i4, o4, layout).AddVariations("relaxed", "float16", quant8) 136 }).AddNchw(i5, o5, layout).AddVariations("relaxed", "float16", quant8) 175 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16") 214 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
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D | max_pool_v1_2.mod.py | 34 }).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16") 62 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16") 90 }).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8, "float16") 108 }).AddNchw(i4, o4, layout).AddVariations("relaxed", quant8, "float16") 147 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16") 186 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
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D | detection_postprocess.mod.py | 66 Example((input0, output0)).AddVariations("relaxed", "float16") 117 Example((input0, output0)).AddVariations("relaxed", "float16") 168 Example((input0, output0)).AddVariations("relaxed", "float16") 219 Example((input0, output0)).AddVariations("relaxed", "float16")
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D | depthwise_conv2d_v1_2.mod.py | 55 }).AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations("relaxed", "float16", channelQuant8, chan… 83 }).AddNchw(i2, o2, layout).AddInput(f2, b2).AddVariations("relaxed", "float16", quant8, channelQuan… 111 }).AddNchw(i3, o3, layout).AddInput(f3, b3).AddVariations("relaxed", "float16", quant8, channelQuan… 142 }).AddNchw(i4, o4, layout).AddInput(f4, b4).AddVariations("relaxed", "float16", quant8, channelQuan… 167 }, model=model9).AddInput(f9, b9).AddVariations("relaxed")
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D | space_to_depth_v1_2.mod.py | 34 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8) 52 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8) 76 }).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
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D | depth_to_space_v1_2.mod.py | 34 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8) 52 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8) 76 }).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
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D | roi_pooling.mod.py | 53 }).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16") 112 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16") 152 }).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8, "float16")
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D | heatmap_max_keypoint.mod.py | 78 }).AddNchw(heatmap1, layout).AddVariations("relaxed", "float16") 131 }).AddNchw(heatmap2, layout).AddVariations("relaxed", "float16", quant8) 193 }).AddNchw(heatmap3, layout).AddVariations(quant8, includeDefault=False)
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D | instance_normalization.mod.py | 36 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16") 56 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16")
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D | depthwise_conv2d_dilation.mod.py | 43 }).AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations("relaxed", "float16", quant8) 98 }, name="valid_padding").AddNchw(i1, o1, layout).AddInput(f1, b1).AddVariations("relaxed", "float16… 154 }, name="same_padding_stride_2").AddNchw(i2, o2, layout).AddInput(f2, b2).AddVariations("relaxed", …
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/frameworks/ml/nn/tools/test_generator/ |
D | README.md | 210 Use `AddVariations` to add a group of variations to the example 214 example.AddVariations(nchw).AddVariations(relaxed, quant8) 220 example.AddVariations(nchw, defaultName="nhwc").AddVariations(relaxed, quant8) 227 example.AddVariations(nchw, includeDefault=False).AddVariations(relaxed, quant8) 240 example.AddVariations(DataTypeConverter().Identify({op1: "TENSOR_FLOAT16", ...})) 241 example.AddVariations("float16") # will apply to every TENSOR_FLOAT32 operands 243 example.AddVariations(DataTypeConverter().Identify({op1: "TENSOR_INT32", ...})) 244 example.AddVariations("int32") # will apply to every TENSOR_FLOAT32 operands 247 example.AddVariations(DataLayoutConverter("nchw").Identify(op_list)) 248 example.AddVariations(("nchw", op_list)) [all …]
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/frameworks/ml/nn/tools/test_generator/tests/P_vts_implicit_variation/ |
D | conv_float.mod.py | 42 ).AddVariations( 44 ).AddVariations( 48 ).AddVariations( 50 ).AddVariations(
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/frameworks/ml/nn/tools/test_generator/tests/P_implicit_variation/ |
D | conv_float.mod.py | 42 ).AddVariations( 44 ).AddVariations( 48 ).AddVariations( 50 ).AddVariations(
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/frameworks/ml/nn/tools/test_generator/tests/P_vts_naming/ |
D | conv_float.mod.py | 53 ).AddVariations( 55 ).AddVariations( 57 ).AddVariations( 59 ).AddVariations(
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/frameworks/ml/nn/tools/test_generator/tests/P_naming/ |
D | conv_float.mod.py | 53 ).AddVariations( 55 ).AddVariations( 57 ).AddVariations( 59 ).AddVariations(
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