| /frameworks/ml/nn/tools/test_generator/tests/P_vts_operands/ |
| D | addfloat.mod.py | 6 i3 = Input("operand3","TENSOR_FLOAT32", "{3,4}") variable
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| /frameworks/ml/nn/tools/test_generator/tests/P_float/ |
| D | addfloat.mod.py | 4 i3 = Input("operand3","TENSOR_FLOAT32", "{3,4}") variable
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| /frameworks/ml/nn/runtime/test/specs/ |
| D | logistic_quant8_1.mod.py | 21 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.00390625f, 0") variable
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| D | logistic_float_1.mod.py | 21 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | reshape_weights_as_inputs.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT32", "{9}") variable
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| D | reshape_quant8_weights_as_inputs.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{9}, 1.f, 0") variable
|
| D | reshape_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{9}, 1.f, 0") variable
|
| D | reshape.mod.py | 5 i3 = Output("op3", "TENSOR_FLOAT32", "{9}") variable
|
| D | mul_relu.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | mul.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") variable
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| D | mul_broadcast_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2, 2}, 2.0, 0") variable
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| D | add.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{2}") variable
|
| D | add_broadcast_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2, 2}, 1.0, 0") variable
|
| D | add_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2}, 1.0, 0") variable
|
| D | mul_quant8.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{2}, 2.0, 0") variable
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| D | avg_pool_float_1.mod.py | 23 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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| D | l2_pool_float.mod.py | 22 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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| D | max_pool_float_1.mod.py | 23 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 2, 2, 1}") # output 0 variable
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| D | max_pool_quant8_1.mod.py | 23 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 0.5f, 0") # output 0 variable
|
| /frameworks/ml/nn/tools/test_generator/tests/P_full/ |
| D | addfloat.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{2}") variable
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | conv_1_h3_w2_VALID.model.py | 7 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 6, 7, 1}") # output 0 variable
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| D | conv_3_h3_w2_SAME.model.py | 7 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 8, 8, 3}") # output 0 variable
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| D | conv_1_h3_w2_SAME.model.py | 7 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 8, 8, 1}") # output 0 variable
|
| /frameworks/ml/nn/tools/test_generator/tests/P_conv/ |
| D | conv_1_h3_w2_SAME.mod.py | 6 i3 = Output("op3", "TENSOR_FLOAT32", "{1, 8, 8, 1}") # output 0 variable
|
| /frameworks/ml/nn/tools/test_generator/tests/P_quantized_conv/ |
| D | quantized.mod.py | 6 i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 1, 1, 1}") # output 0 variable
|