| /frameworks/ml/nn/runtime/test/specs/V1_3/ |
| D | pad_quant8_signed.mod.py | 24 output0 = Output("output0", "TENSOR_FLOAT32", "{4, 8, 8, 6}") variable
49 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{7}, 2.3, -128") variable
65 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 4, 7, 1}, 2.3, -128") variable
88 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 4, 7, 1}, 2.3, -119") variable
109 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 4, 7, 1}, 2.3, -124") variable
131 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{4, 8, 8, 6}, 2.3, -124") variable
153 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{7}, 2.3, -124") variable
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| D | argmax_quant8_signed.mod.py | 19 output0 = Output("output", "TENSOR_INT32", "{2}") variable
37 output0 = Output("output", "TENSOR_INT32", "{2}") variable
57 output0 = Output("output", "TENSOR_INT32", "{2}") variable
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| D | argmin_quant8_signed.mod.py | 20 output0 = Output("output", "TENSOR_INT32", "{2}") variable
38 output0 = Output("output", "TENSOR_INT32", "{2}") variable
56 output0 = Output("output", "TENSOR_INT32", "{2}") variable
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| D | strided_slice_quant8_signed.mod.py | 34 output0 = {output: # output 0 variable
59 output0 = {output: # output 0 variable
84 output0 = {output: # output 0 variable
109 output0 = {output: # output 0 variable
134 output0 = {output: # output 0 variable
159 output0 = {output: # output 0 variable
184 output0 = {output: # output 0 variable
209 output0 = {output: # output 0 variable
234 output0 = {output: # output 0 variable
259 output0 = {output: # output 0 variable
[all …]
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| D | split_quant8_signed.mod.py | 20 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128") variable
43 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3}, 2.0, -125") variable
64 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 1}, 2.0, -125") variable
87 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", variable
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| D | box_with_nms_limit_quant8_signed.mod.py | 81 output0 = { variable
178 output0 = { variable
267 output0 = { variable
355 output0 = { variable
441 output0 = { variable
536 output0 = { variable
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| D | fully_connected_quant8_signed.mod.py | 32 output0 = {out0: # output 0 variable
51 output0 = {out0: # output 0 variable
74 output0 = {out0: # output 0 variable
93 output0 = {out0: # output 0 variable
114 output0 = {out0: # output 0 variable
140 output0 = {out0: # output 0 variable
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| D | tile_quant8_signed.mod.py | 19 output0 = Output("output0", "TENSOR_FLOAT32", "{6}") variable
42 output0 = Output("output0", "TENSOR_FLOAT32", "{4, 3}") variable
69 output0 = Output("output0", "TENSOR_FLOAT32", "{2, 6, 3}") variable
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| D | minimum_quant8_signed.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
56 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 0.5f, 0") variable
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| D | maximum_quant8_signed.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
57 output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 0.5f, 0") variable
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| D | gather_quant8_signed.mod.py | 20 output0 = Output("output0", "TENSOR_FLOAT32", "{1, 3, 2, 2}") variable
46 def test(input0, axis, indices, output0, input_data, output_data): argument
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| D | dequantize_quant8_signed.mod.py | 26 output0 = {i2: # output 0 variable
34 def test(name, input0, output0, input0_data, output0_data): argument
70 output0 = {i2: # output 0 variable
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| D | space_to_batch_quant8_signed.mod.py | 34 output0 = { variable
61 output0 = { variable
89 output0 = { variable
121 output0 = { variable
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| D | mean_quant8_signed.mod.py | 31 output0 = { variable
55 output0 = { variable
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| D | relu_quant8_signed.mod.py | 27 output0 = {o: # output 0 variable
64 output0 = {output: output_values} variable
67 output0 = {output: [value - 128 for value in output_values]} variable
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| D | concat_quant8_signed.mod.py | 24 output0 = Output("output0", "TENSOR_FLOAT32", "{2, 1, 8}") variable
70 output0 = {r: [1, 2, 3, 7, 8, 9, 4, 5, 6, 10, 11, 12]} variable
97 output0 = {output: output_values} variable
130 output0 = {output: output_values} variable
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| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | detection_postprocess.mod.py | 55 output0 = { variable
106 output0 = { variable
157 output0 = { variable
208 output0 = { variable
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| D | cast.mod.py | 52 output0 = operand2.as_output variable
89 output0 = Output("output0", "TENSOR_QUANT8_ASYMM", "{2}, 4.0, 100") variable
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| D | maximum.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
57 output0 = Output("output0", "TENSOR_QUANT8_ASYMM", "{2}, 0.5f, 128") variable
|
| D | minimum.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
57 output0 = Output("output0", "TENSOR_QUANT8_ASYMM", "{2}, 0.5f, 128") variable
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| D | sub_v1_2_broadcast.mod.py | 21 output0 = Output("output0", "TENSOR_FLOAT32", "{2, 2}") variable
42 output0 = Output("output0", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0") variable
|
| D | box_with_nms_limit_gaussian.mod.py | 81 output0 = { variable
177 output0 = { variable
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| D | box_with_nms_limit_linear.mod.py | 81 output0 = { variable
175 output0 = { variable
|
| D | box_with_nms_limit_hard.mod.py | 81 output0 = { variable
168 output0 = { variable
|
| D | generate_proposals.mod.py | 55 output0 = { variable
167 output0 = { variable
|