| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| mobilenet_quantized.mod.py | 4 i104 = Int32Scalar("b104", 1)
5 i105 = Int32Scalar("b105", 2)
6 i106 = Int32Scalar("b106", 2)
7 i107 = Int32Scalar("b107", 0)
8 i108 = Int32Scalar("b108", 1)
9 i109 = Int32Scalar("b109", 1)
10 i110 = Int32Scalar("b110", 1)
11 i111 = Int32Scalar("b111", 1)
12 i112 = Int32Scalar("b112", 0)
13 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)
|
| mobilenet_224_gender_basic_fixed.mod.py | 4 i87 = Int32Scalar("b87", 1)
5 i88 = Int32Scalar("b88", 2)
6 i89 = Int32Scalar("b89", 2)
7 i90 = Int32Scalar("b90", 3)
8 i91 = Int32Scalar("b91", 1)
9 i92 = Int32Scalar("b92", 1)
10 i93 = Int32Scalar("b93", 1)
11 i94 = Int32Scalar("b94", 1)
12 i95 = Int32Scalar("b95", 3)
13 i96 = Int32Scalar("b96", 1
[all...] |
| conv_quant8_2.mod.py | 21 pad_valid = Int32Scalar("pad_valid", 2)
22 act_none = Int32Scalar("act_none", 0)
23 stride1 = Int32Scalar("stride1", 1)
24 stride3 = Int32Scalar("stride3", 3)
|
| 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_2.mod.py | 21 pad_valid = Int32Scalar("pad_valid", 2)
22 act_none = Int32Scalar("act_none", 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_2.mod.py | 21 pad_valid = Int32Scalar("pad_valid", 2)
22 act_none = Int32Scalar("act_none", 0)
23 stride = Int32Scalar("stride", 1)
24 cm = Int32Scalar("channelMultiplier", 2)
|
| 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_5.mod.py | 20 cons2 = Int32Scalar("cons2", 2)
21 pad_same = Int32Scalar("pad_same", 1)
22 act_none = Int32Scalar("act_none", 0)
|
| avg_pool_quant8_5.mod.py | 20 cons2 = Int32Scalar("cons2", 2)
21 pad_same = Int32Scalar("pad_same", 1)
22 act_none = Int32Scalar("act_none", 0)
|
| l2_pool_float_2.mod.py | 20 cons2 = Int32Scalar("cons2", 2)
21 pad_same = Int32Scalar("pad_same", 1)
22 act_none = Int32Scalar("act_none", 0)
|
| max_pool_float_4.mod.py | 20 cons2 = Int32Scalar("cons2", 2)
21 pad_same = Int32Scalar("pad_same", 1)
22 act_none = Int32Scalar("act_none", 0)
|
| max_pool_quant8_4.mod.py | 20 cons2 = Int32Scalar("cons2", 2)
21 pad_same = Int32Scalar("pad_same", 1)
22 act_none = Int32Scalar("act_none", 0)
|
| depthwise_conv.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)
|
| 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)
|
| /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)
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| l2_pool_float_large_relaxed.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)
|
| mobilenet_224_gender_basic_fixed_relaxed.mod.py | 20 i87 = Int32Scalar("b87", 1)
21 i88 = Int32Scalar("b88", 2)
22 i89 = Int32Scalar("b89", 2)
23 i90 = Int32Scalar("b90", 3)
24 i91 = Int32Scalar("b91", 1)
25 i92 = Int32Scalar("b92", 1)
26 i93 = Int32Scalar("b93", 1)
27 i94 = Int32Scalar("b94", 1)
28 i95 = Int32Scalar("b95", 3)
29 i96 = Int32Scalar("b96", 1
[all...] |
| depthwise_conv_relaxed.mod.py | 18 i4 = Int32Scalar("b4", 1)
19 i5 = Int32Scalar("b5", 1)
20 i6 = Int32Scalar("b6", 1)
21 i7 = Int32Scalar("b7", 1)
22 i8 = Int32Scalar("b8", 0)
|
