| /packages/modules/NeuralNetworks/runtime/test/specs/experimental/ |
| D | densify_1.mod.py | 3 sparseData = Input("sparseData", "TENSOR_FLOAT32", "{12}") variable
13 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap,
18 input0 = {sparseData: # input 0
25 sparseData: ("TENSOR_QUANT8_SYMM", 2.0),
30 sparseData: ("TENSOR_QUANT8_ASYMM", 0.5, 4),
35 sparseData: ("TENSOR_QUANT8_ASYMM_SIGNED", 2.5, -9),
40 sparseData: ("TENSOR_QUANT16_SYMM", 3.0),
45 sparseData: ("TENSOR_QUANT16_ASYMM", 2.0, 4),
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| D | densify_4.mod.py | 3 sparseData = Input("sparseData", "TENSOR_FLOAT32", "{5}") variable
15 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap, dimFormat,
20 input0 = {sparseData: # input 0
27 sparseData: ("TENSOR_QUANT8_SYMM", 4.375),
32 sparseData: ("TENSOR_QUANT8_ASYMM", 3.5, 5),
37 sparseData: ("TENSOR_QUANT8_ASYMM_SIGNED", 2.0, -3),
42 sparseData: ("TENSOR_QUANT16_SYMM", 3.25),
47 sparseData: ("TENSOR_QUANT16_ASYMM", 1.625, 10),
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| D | densify_5.mod.py | 3 sparseData = Input("sparseData", "TENSOR_FLOAT32", "{8}") variable
15 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap, dimFormat,
20 input0 = {sparseData: # input 0
28 sparseData: ("TENSOR_QUANT8_SYMM", 3.0),
33 sparseData: ("TENSOR_QUANT8_ASYMM", 2.25, 3),
38 sparseData: ("TENSOR_QUANT8_ASYMM_SIGNED", 2.875, -4),
43 sparseData: ("TENSOR_QUANT16_SYMM", 3.25),
48 sparseData: ("TENSOR_QUANT16_ASYMM", 6.0, 14),
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| D | densify_2.mod.py | 3 sparseData = Input("sparseData", "TENSOR_FLOAT32", "{16}") variable
17 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap,
23 input0 = {sparseData: # input 0
30 sparseData: ("TENSOR_QUANT8_SYMM", 7.0),
35 sparseData: ("TENSOR_QUANT8_ASYMM", 0.5, 3),
40 sparseData: ("TENSOR_QUANT8_ASYMM_SIGNED", 1.5, -5),
45 sparseData: ("TENSOR_QUANT16_SYMM", 6.0),
50 sparseData: ("TENSOR_QUANT16_ASYMM", 2.0, 3),
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| D | densify_6.mod.py | 3 sparseData = Input("sparseData", "TENSOR_FLOAT32", "{8}") variable
17 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap,
23 input0 = {sparseData: # input 0
30 sparseData: ("TENSOR_QUANT8_SYMM", 2.125),
35 sparseData: ("TENSOR_QUANT8_ASYMM", 4.5, 2),
40 sparseData: ("TENSOR_QUANT8_ASYMM_SIGNED", 2.5, 24),
45 sparseData: ("TENSOR_QUANT16_SYMM", 3.0),
50 sparseData: ("TENSOR_QUANT16_ASYMM", 2.3, 8),
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| D | densify_3.mod.py | 3 sparseData = Input("sparseData", "TENSOR_FLOAT32", "{16}") variable
17 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap,
23 input0 = {sparseData: # input 0
31 sparseData: ("TENSOR_QUANT8_SYMM", 7.0),
36 sparseData: ("TENSOR_QUANT8_ASYMM", 2.25, 3),
41 sparseData: ("TENSOR_QUANT8_ASYMM_SIGNED", 2.5, -4),
46 sparseData: ("TENSOR_QUANT16_SYMM", 3.125),
51 sparseData: ("TENSOR_QUANT16_ASYMM", 6.0, 1),
|
| D | densify_8.mod.py | 3 sparseData = Input("sparseData", "TENSOR_FLOAT32", "{4}") variable
17 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap,
23 input0 = {sparseData: # input 0
35 sparseData: ("TENSOR_QUANT8_SYMM", 3.0),
40 sparseData: ("TENSOR_QUANT8_ASYMM", 2.25, 3),
45 sparseData: ("TENSOR_QUANT8_ASYMM_SIGNED", 2.875, -4),
50 sparseData: ("TENSOR_QUANT16_SYMM", 3.25),
55 sparseData: ("TENSOR_QUANT16_ASYMM", 6.0, 14),
|
| D | densify_7.mod.py | 3 sparseData = Input("sparseData", "TENSOR_FLOAT32", "{210}") variable
17 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap,
25 input0 = {sparseData: # input 0
34 sparseData: ("TENSOR_QUANT8_SYMM", 2.0),
39 sparseData: ("TENSOR_QUANT8_ASYMM", 0.5, 4),
44 sparseData: ("TENSOR_QUANT8_ASYMM_SIGNED", 2.5, -9),
49 sparseData: ("TENSOR_QUANT16_SYMM", 3.0),
54 sparseData: ("TENSOR_QUANT16_ASYMM", 2.0, 4),
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| D | densify_bool8_2.mod.py | 3 sparseData = Input("sparseData", "TENSOR_BOOL8", "{8}") variable
15 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap, dimFormat,
20 input0 = {sparseData: # input 0
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| D | densify_bool8_1.mod.py | 3 sparseData = Input("sparseData", "TENSOR_BOOL8", "{16}") variable
17 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap,
23 input0 = {sparseData: # input 0
|