/frameworks/ml/nn/runtime/test/specs/V1_3/ |
D | pad_quant8_signed.mod.py | 19 input0 = Input("input0", "TENSOR_FLOAT32", "{1, 1, 2, 3}") variable 47 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 2.3, -128") variable 60 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 3, 1}, 2.3, -128") variable 83 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 3, 1}, 2.3, -119") variable 103 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 2, 3, 1}, 2.3, -124") variable 125 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 1, 2, 3}, 2.3, -124") variable 150 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{3}, 2.3, -124") variable
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D | argmin_quant8_signed.mod.py | 18 input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}") variable 36 input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}") variable 54 input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}") variable
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D | argmax_quant8_signed.mod.py | 17 input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}") variable 35 input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}") variable 55 input0 = Input("input0", "TENSOR_FLOAT32", "{2, 2}") variable
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D | strided_slice_quant8_signed.mod.py | 31 input0 = {i1: # input 0 variable 56 input0 = {i1: # input 0 variable 81 input0 = {i1: # input 0 variable 106 input0 = {i1: # input 0 variable 131 input0 = {i1: # input 0 variable 156 input0 = {i1: # input 0 variable 181 input0 = {i1: # input 0 variable 206 input0 = {i1: # input 0 variable 231 input0 = {i1: # input 0 variable 256 input0 = {i1: # input 0 variable [all …]
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D | split_quant8_signed.mod.py | 17 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{6}, 1.0, -128") variable 40 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 2.0, -125") variable 61 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 2.0, -125") variable 84 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 2, 2}, 1.0, -128") variable
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D | box_with_nms_limit_quant8_signed.mod.py | 35 input0 = { variable 132 input0 = { variable 221 input0 = { variable 309 input0 = { variable 395 input0 = { variable 490 input0 = { variable
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D | fully_connected_quant8_signed.mod.py | 29 input0 = {in0: # input 0 variable 49 input0 = {in0: # input 0 variable 68 input0 = {in0: # input 0 variable 91 input0 = {in0: # input 0 variable 110 input0 = {in0: # input 0 variable 138 input0 = {in0: # input 0 variable
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D | tile_quant8_signed.mod.py | 17 input0 = Input("input0", "TENSOR_FLOAT32", "{3}") variable 40 input0 = Input("input0", "TENSOR_FLOAT32", "{2, 3}") variable 67 input0 = Input("input0", "TENSOR_FLOAT32", "{1, 2, 3}") variable
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D | div_int32.mod.py | 17 input0 = Input("input0", "TENSOR_INT32", "{2, 2, 4, 6}") variable 81 input0 = Input("input0", "TENSOR_INT32", "{1}") 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 55 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0f, 0") 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 54 input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0f, 0") variable
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D | gather_quant8_signed.mod.py | 17 input0 = Input("input0", "TENSOR_FLOAT32", "{1, 3, 2}") variable 46 def test(input0, axis, indices, output0, input_data, output_data): argument
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D | dequantize_quant8_signed.mod.py | 23 input0 = {i1: # input 0 variable 34 def test(name, input0, output0, input0_data, output0_data): argument 67 input0 = {i1: # input 0 variable
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D | space_to_batch_quant8_signed.mod.py | 26 input0 = { variable 56 input0 = { variable 84 input0 = { variable 116 input0 = { variable
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D | mean_quant8_signed.mod.py | 24 input0 = { variable 48 input0 = { variable
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D | relu_quant8_signed.mod.py | 25 input0 = {i1: # input 0 variable 62 input0 = {i0: input_values} variable 66 input0 = {i0: [value - 128 for value in input_values]} variable
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | detection_postprocess.mod.py | 28 input0 = { variable 79 input0 = { variable 130 input0 = { variable 181 input0 = { variable
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D | cast.mod.py | 51 input0 = operand1.as_input variable 88 input0 = operand1.as_input variable
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D | maximum.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument 55 input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{2}, 1.0f, 128") variable
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D | minimum.mod.py | 17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument 55 input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{2}, 1.0f, 128") variable
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D | div_v1_2.mod.py | 27 input0 = {i1: # input 0 variable 48 input0 = {i1: # input 0 variable 92 input0 = Input("input0", "TENSOR_FLOAT16", "{1}") variable
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D | sub_v1_2_broadcast.mod.py | 18 input0 = Input("input0", "TENSOR_FLOAT32", "{1, 2}") variable 39 input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{1, 2}, 1.0, 0") variable
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D | box_with_nms_limit_gaussian.mod.py | 35 input0 = { variable 131 input0 = { variable
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D | box_with_nms_limit_linear.mod.py | 35 input0 = { variable 129 input0 = { variable
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | div.mod.py | 10 input0 = {i1: # input 0 variable 24 input0 = Input("input0", "TENSOR_FLOAT32", "{1}") variable
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