| /frameworks/ml/nn/runtime/test/specs/ |
| mobilenet_quantized.mod.py | 2 i104 = Int32Scalar("b104", 1)
3 i105 = Int32Scalar("b105", 2)
4 i106 = Int32Scalar("b106", 2)
5 i107 = Int32Scalar("b107", 3)
6 i108 = Int32Scalar("b108", 1)
7 i109 = Int32Scalar("b109", 1)
8 i110 = Int32Scalar("b110", 1)
9 i111 = Int32Scalar("b111", 1)
10 i112 = Int32Scalar("b112", 3)
11 i113 = Int32Scalar("b113", 1
[all...] |
| l2_pool_float_large.mod.py | 19 filter_width = Int32Scalar("filter_width", 2)
20 filter_height = Int32Scalar("filter_height", 2)
21 stride_width = Int32Scalar("stride_width", 1)
22 stride_height = Int32Scalar("stride_height", 1)
23 pad0 = Int32Scalar("pad0", 0)
24 act = Int32Scalar("act", 0)
|
| depthwise_conv2d_float.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
24 cm = Int32Scalar("channelMultiplier", 2)
|
| depthwise_conv2d_float_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
24 cm = Int32Scalar("channelMultiplier", 1)
|
| depthwise_conv2d_float_large_2.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
24 cm = Int32Scalar("channelMultiplier", 1)
|
| depthwise_conv2d_quant8.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
24 cm = Int32Scalar("channelMultiplier", 1)
|
| depthwise_conv2d_quant8_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
24 cm = Int32Scalar("channelMultiplier", 1)
|
| avg_pool_float_1.mod.py | 20 cons1 = Int32Scalar("cons1", 1)
21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
|
| avg_pool_quant8_1.mod.py | 20 cons1 = Int32Scalar("cons1", 1)
21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
|
| avg_pool_quant8_4.mod.py | 20 cons1 = Int32Scalar("cons1", 1)
21 pad0 = Int32Scalar("pad0", 0)
22 act2 = Int32Scalar("relu1_activitation", 2)
|
| conv_float.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_float_channels.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_float_channels_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_float_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_float_large_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_float_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_quant8.mod.py | 23 pad0 = Int32Scalar("pad0", 0)
24 act = Int32Scalar("act", 0)
25 stride = Int32Scalar("stride", 1)
|
| conv_quant8_channels.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_quant8_channels_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_quant8_large.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_quant8_large_weights_as_inputs.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| conv_quant8_overflow.mod.py | 21 pad0 = Int32Scalar("pad0", 0)
22 act = Int32Scalar("act", 0)
23 stride = Int32Scalar("stride", 1)
|
| /frameworks/ml/nn/tools/test_generator/tests/P_conv/ |
| conv_1_h3_w2_SAME.mod.py | 1 i4 = Int32Scalar("b4", 1)
2 i5 = Int32Scalar("b5", 1)
3 i6 = Int32Scalar("b6", 1)
4 i7 = Int32Scalar("b7", 0)
|
| /frameworks/ml/nn/tools/test_generator/tests/P_quantized_conv/ |
| quantized.mod.py | 1 i4 = Int32Scalar("b4", 2)
2 i5 = Int32Scalar("b5", 2)
3 i6 = Int32Scalar("b6", 2)
4 i7 = Int32Scalar("b7", 0)
|
| /frameworks/ml/nn/tools/test_generator/tests/P_depthwise_conv/ |
| depthwise_conv.bin.mod.py | 2 i4 = Int32Scalar("b4", 1)
3 i5 = Int32Scalar("b5", 1)
4 i6 = Int32Scalar("b6", 1)
5 i7 = Int32Scalar("b7", 1)
6 i8 = Int32Scalar("b8", 0)
|
