| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | resize_nearest_neighbor.mod.py | 26 quant8 = DataTypeConverter().Identify({ variable
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…
47 quant8 = DataTypeConverter().Identify({ variable
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…
68 quant8 = DataTypeConverter().Identify({ variable
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…
89 quant8 = DataTypeConverter().Identify({ variable
[all …]
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| D | transpose_conv2d.mod.py | 29 quant8 = DataTypeConverter().Identify({ variable
65 }).AddNchw(i1, o1, s1, layout).AddAllActivations(o1, act).AddVariations("relaxed", quant8, quant8_m…
77 quant8 = DataTypeConverter().Identify({ variable
97 }).AddNchw(i2, o2, s2, layout).AddVariations("relaxed", quant8, channelQuant8, "float16")
109 quant8 = DataTypeConverter().Identify({ variable
123 }).AddNchw(i3, o3, s3, layout).AddVariations("relaxed", quant8, "float16")
135 quant8 = DataTypeConverter().Identify({ variable
151 }).AddNchw(i4, o4, s4, layout).AddVariations("relaxed", quant8, "float16")
162 quant8 = DataTypeConverter().Identify({ variable
175 }).AddNchw(i5, o5, layout).AddVariations("relaxed", quant8, "float16")
[all …]
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| D | roi_align.mod.py | 25 quant8 = DataTypeConverter().Identify({ variable
51 }).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16")
60 quant8 = DataTypeConverter().Identify({ variable
118 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
127 quant8 = DataTypeConverter().Identify({ variable
171 }).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8, "float16")
180 quant8 = DataTypeConverter().Identify({ variable
211 }).AddNchw(i4, o4, layout).AddVariations("relaxed", quant8, "float16")
230 quant8 = DataTypeConverter().Identify({ variable
244 }).AddNchw(i1, zero_sized, layout).AddVariations("relaxed", quant8, "float16")
[all …]
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| D | resize_bilinear_v1_2.mod.py | 26 quant8 = DataTypeConverter().Identify({ variable
39 …ample(test1, model=model_shape).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
40 …ample(test1, model=model_scale).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
50 quant8 = DataTypeConverter().Identify({ variable
63 …ample(test2, model=model_shape).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
64 …ample(test2, model=model_scale).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
74 quant8 = DataTypeConverter().Identify({ variable
87 Example(test3, model=model_shape).AddVariations("float16", quant8, includeDefault=False)
88 Example(test3, model=model_scale).AddVariations("float16", quant8, includeDefault=False)
111 quant8 = DataTypeConverter().Identify({ variable
[all …]
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| D | avg_pool_v1_2.mod.py | 25 quant8 = DataTypeConverter().Identify({ variable
34 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
55 quant8 = DataTypeConverter().Identify({ variable
64 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
83 quant8 = DataTypeConverter().Identify({ variable
92 }).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
111 quant8 = DataTypeConverter().Identify({ variable
120 }).AddNchw(i4, o4, layout).AddVariations("relaxed", "float16", quant8)
129 quant8 = DataTypeConverter().Identify({ variable
138 }).AddNchw(i5, o5, layout).AddVariations("relaxed", "float16", quant8)
[all …]
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| D | conv2d_dilation.mod.py | 27 quant8 = DataTypeConverter().Identify({ variable
38 }).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16")
49 quant8 = DataTypeConverter().Identify({ variable
68 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
78 quant8 = DataTypeConverter().Identify({ variable
89 }, name="valid_padding").AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16")
100 quant8 = DataTypeConverter().Identify({ variable
119 }, name="valid_padding").AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
130 quant8 = DataTypeConverter().Identify({ variable
146 }).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8, "float16")
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| D | max_pool_v1_2.mod.py | 25 quant8 = DataTypeConverter().Identify({ variable
34 }).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16")
53 quant8 = DataTypeConverter().Identify({ variable
62 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
81 quant8 = DataTypeConverter().Identify({ variable
90 }).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8, "float16")
99 quant8 = DataTypeConverter().Identify({ variable
108 }).AddNchw(i4, o4, layout).AddVariations("relaxed", quant8, "float16")
131 quant8 = DataTypeConverter().Identify({ variable
146 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
[all …]
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| D | space_to_batch_v1_2.mod.py | 26 quant8 = DataTypeConverter().Identify({ variable
35 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
44 quant8 = DataTypeConverter().Identify({ variable
53 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
63 quant8 = DataTypeConverter().Identify({ variable
73 }).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
83 quant8 = DataTypeConverter().Identify({ variable
94 }).AddNchw(i4, o4, layout).AddVariations("relaxed", "float16", quant8)
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| D | conv2d_v1_2.mod.py | 27 quant8 = DataTypeConverter().Identify({ variable
44 }).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, channelQuant8, "float16")
55 quant8 = DataTypeConverter().Identify({ variable
72 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, channelQuant8, "float16")
83 quant8 = DataTypeConverter().Identify({ variable
100 }).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8, channelQuant8, "float16")
111 quant8 = DataTypeConverter().Identify({ variable
140 }).AddNchw(i4, o4, layout).AddVariations("relaxed", quant8, channelQuant8, channelQuant8_mult_gt_1,…
236 quant8 = DataTypeConverter().Identify({ variable
253 }).AddNchw(i1, zero_sized, o3, layout).AddVariations("relaxed", quant8, "float16")
[all …]
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| D | depthwise_conv2d_dilation.mod.py | 27 quant8 = DataTypeConverter().Identify({ variable
43 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
54 quant8 = DataTypeConverter().Identify({ variable
82 quant8 = DataTypeConverter().Identify({ variable
98 }, name="valid_padding").AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
109 quant8 = DataTypeConverter().Identify({ variable
136 quant8 = DataTypeConverter().Identify({ variable
154 }, name="same_padding_stride_2").AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
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| D | softmax_v1_2.mod.py | 22 quant8 = DataTypeConverter().Identify({ variable
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)
90 quant8 = DataTypeConverter().Identify({ variable
105 }).AddVariations("relaxed", quant8, "float16")
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| D | depthwise_conv2d_v1_2.mod.py | 27 quant8 = DataTypeConverter().Identify({ variable
55 …i1, o1, layout).AddVariations("relaxed", "float16", channelQuant8, channelQuant8_mult_gt_1, quant8)
66 quant8 = DataTypeConverter().Identify({ variable
83 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8, channelQuant8)
94 quant8 = DataTypeConverter().Identify({ variable
111 }).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8, channelQuant8)
122 quant8 = DataTypeConverter().Identify({ variable
142 }).AddNchw(i4, o4, layout).AddVariations("relaxed", "float16", quant8, channelQuant8)
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| D | depth_to_space_v1_2.mod.py | 25 quant8 = DataTypeConverter().Identify({ variable
34 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
43 quant8 = DataTypeConverter().Identify({ variable
52 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
61 quant8 = DataTypeConverter().Identify({ variable
76 }).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
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| D | space_to_depth_v1_2.mod.py | 25 quant8 = DataTypeConverter().Identify({ variable
34 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
43 quant8 = DataTypeConverter().Identify({ variable
52 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
61 quant8 = DataTypeConverter().Identify({ variable
76 }).AddNchw(i3, o3, layout).AddVariations("relaxed", "float16", quant8)
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| D | roi_pooling.mod.py | 25 quant8 = DataTypeConverter().Identify({ variable
53 }).AddNchw(i1, o1, layout).AddVariations("relaxed", quant8, "float16")
62 quant8 = DataTypeConverter().Identify({ variable
112 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, "float16")
121 quant8 = DataTypeConverter().Identify({ variable
152 }).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8, "float16")
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| D | heatmap_max_keypoint.mod.py | 26 quant8 = DataTypeConverter().Identify({ variable
78 }).AddNchw(heatmap1, layout).AddVariations("relaxed", "float16", quant8)
88 quant8 = DataTypeConverter().Identify({ variable
131 }).AddNchw(heatmap2, layout).AddVariations("relaxed", "float16", quant8)
141 quant8 = DataTypeConverter().Identify({ variable
163 }).AddNchw(heatmap3, layout).AddVariations("relaxed", "float16", quant8)
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| D | grouped_conv2d.mod.py | 28 quant8 = DataTypeConverter().Identify({ variable
65 }).AddNchw(i1, o1, layout).AddAllActivations(o1, act).AddVariations("relaxed", quant8, quant8_mult_…
76 quant8 = DataTypeConverter().Identify({ variable
101 }).AddNchw(i2, o2, layout).AddVariations("relaxed", quant8, channelQuant8, "float16")
112 quant8 = DataTypeConverter().Identify({ variable
135 }).AddNchw(i3, o3, layout).AddVariations("relaxed", quant8, channelQuant8, "float16")
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| D | batch_to_space_v1_2.mod.py | 25 quant8 = DataTypeConverter().Identify({ variable
34 }).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
43 quant8 = DataTypeConverter().Identify({ variable
52 }).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)
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| D | axis_aligned_bbox_transform.mod.py | 25 quant8 = DataTypeConverter().Identify({ variable
66 }), model=model1).AddVariations("relaxed", "float16", quant8)
77 quant8 = DataTypeConverter().Identify({ variable
121 }), model=model2).AddVariations("relaxed", "float16", quant8)
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| D | box_with_nms_limit_hard.mod.py | 28 quant8 = DataTypeConverter().Identify({ variable
101 Example((input0, output0)).AddVariations("relaxed", "float16", quant8)
115 quant8 = DataTypeConverter().Identify({ variable
186 Example((input0, output0)).AddVariations("relaxed", "float16", quant8)
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| D | transpose_v1_2.mod.py | 26 quant8 = DataTypeConverter().Identify({ variable
38 }).AddVariations("relaxed", quant8)
69 quant8 = DataTypeConverter().Identify({ variable
84 }).AddVariations("relaxed", quant8, "float16")
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| D | box_with_nms_limit_linear.mod.py | 28 quant8 = DataTypeConverter().Identify({ variable
108 Example((input0, output0)).AddVariations("relaxed", "float16", quant8)
122 quant8 = DataTypeConverter().Identify({ variable
201 Example((input0, output0)).AddVariations("relaxed", "float16", quant8)
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | while_fib.mod.py | 42 quant8 = DataTypeConverter().Identify({
49 return SubgraphReference("cond", model), quant8, quant8_signed
65 quant8 = DataTypeConverter().Identify({
78 return SubgraphReference("body", model), quant8, quant8_signed
93 quant8 = DataTypeConverter().Identify({
110 example.AddVariations("relaxed", "float16", quant8, quant8_signed)
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3_cts_only/ |
| D | while_fib_unknown_rank.mod.py | 44 quant8 = DataTypeConverter().Identify({
51 return SubgraphReference("cond", model), quant8, quant8_signed
76 quant8 = DataTypeConverter().Identify({
93 return SubgraphReference("body", model), quant8, quant8_signed
108 quant8 = DataTypeConverter().Identify({
125 example.AddVariations("relaxed", "float16", quant8, quant8_signed)
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| D | while_fib_unknown_dimension.mod.py | 44 quant8 = DataTypeConverter().Identify({
51 return SubgraphReference("cond", model), quant8, quant8_signed
76 quant8 = DataTypeConverter().Identify({
93 return SubgraphReference("body", model), quant8, quant8_signed
108 quant8 = DataTypeConverter().Identify({
125 example.AddVariations("relaxed", "float16", quant8, quant8_signed)
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