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Erman Okman
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| --- | ||
| # HWC (little data) configuration for SVHN | ||
| # Parallel Model | ||
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| arch: ai85tinierssdqr | ||
| dataset: qrcode_160_120_kpts_ext | ||
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| layers: | ||
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| # Layer 0: fire1, inp: 3x320x240 | ||
| - out_offset: 0x1000 | ||
| in_offset: 0x0000 | ||
| processors: 0x0000000000000007 | ||
| output_processors: 0xffffffff00000000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
| streaming: true | ||
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| # Layer 1: fire2, inp: 32x320x240 | ||
| - out_offset: 0x1000 | ||
| in_offset: 0x1000 | ||
| processors: 0xffffffff00000000 | ||
| output_processors: 0x00000000ffffffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
| streaming: true | ||
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| # Layer 2: fire3, inp: 32x320x240 | ||
| - out_offset: 0x2440 #0x2000 | ||
| in_offset: 0x1000 | ||
| processors: 0x00000000ffffffff | ||
| output_processors: 0xffffffffffffffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
| max_pool: 2 | ||
| pool_stride: 2 | ||
| streaming: true | ||
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| # Layer 3: fire3_1, inp: 64x160x120 | ||
| - out_offset: 0x3000 | ||
| in_offset: 0x2440 | ||
| processors: 0xffffffffffffffff | ||
| output_processors: 0xffffffffffffffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
| max_pool: 2 | ||
| pool_stride: 2 | ||
| streaming: true | ||
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| # Layer 4: fire4, inp: 64x80x60 | ||
| - out_offset: 0x4000 | ||
| in_offset: 0x3000 | ||
| processors: 0xffffffffffffffff | ||
| output_processors: 0xffffffffffffffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
| streaming: true | ||
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| # Layer 5: fire5, inp: 64x80x60 | ||
| - out_offset: 0x5000 # 0x12C0 | ||
| in_offset: 0x4000 | ||
| processors: 0xffffffffffffffff | ||
| output_processors: 0xffffffffffffffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
| max_pool: 2 | ||
| pool_stride: 2 | ||
| streaming: true | ||
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| # Layer 6: fire6, inp: 64x40x30 | ||
| - out_offset: 0x6400 # 0x12C0 | ||
| in_offset: 0x5000 | ||
| processors: 0xffffffffffffffff | ||
| output_processors: 0xffffffffffffffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
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| # Layer 7: fire7, inp: 64x40x30 | ||
| - out_offset: 0x0000 # 0x2580 | ||
| in_offset: 0x6400 | ||
| processors: 0xffffffffffffffff | ||
| output_processors: 0xffffffffffffffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
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| # Layer 8: fire8, inp: 128x40x30 | ||
| - name: fire8 | ||
| out_offset: 0x3000 # 0x12C0 | ||
| in_offset: 0x0000 | ||
| processors: 0xffffffffffffffff | ||
| output_processors: 0x00000000ffffffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
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| # Layer 9: fire9, inp: 32x40x30 | ||
| - name: fire9 | ||
| out_offset: 0x3000 # 0x04B0 | ||
| in_offset: 0x3000 | ||
| processors: 0x00000000ffffffff | ||
| output_processors: 0xffffffff00000000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
| max_pool: 2 | ||
| pool_stride: 2 | ||
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| # Layer 10: fire10, inp: 32x20x15 | ||
| - name: fire10 | ||
| out_offset: 0x4400 # 0x0280 | ||
| in_offset: 0x3000 | ||
| processors: 0xffffffff00000000 | ||
| output_processors: 0x00000000ffffffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
| max_pool: 2 | ||
| pool_stride: 2 | ||
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| # Layer 11: conv12_1, inp: 32x10x7 | ||
| - out_offset: 0x5000 # 0x0280 | ||
| in_offset: 0x4400 | ||
| processors: 0x00000000ffffffff | ||
| output_processors: 0x000000000000ffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
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| # Layer 12: conv12_2, inp: 16x10x7 | ||
| - name: conv12_2 | ||
| out_offset: 0x5000 # 0x003C | ||
| in_offset: 0x5000 | ||
| processors: 0x000000000000ffff | ||
| output_processors: 0x00000000ffff0000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| activate: ReLU | ||
| max_pool: 2 | ||
| pool_stride: 2 | ||
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| # Layer 13: loc_conv8, inp: 32x40x30 | ||
| - out_offset: 0x5400 # 0x12C0 | ||
| in_offset: 0x3000 | ||
| processors: 0x00000000ffffffff | ||
| output_processors: 0x000000000000ffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: fire8 | ||
| output: true | ||
| activate: None | ||
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| # Layer 14: loc_conv9, inp: 32x20x15 | ||
| - out_offset: 0x66C0 # 0x04B0 | ||
| in_offset: 0x3000 | ||
| processors: 0xffffffff00000000 | ||
| output_processors: 0x000000000000ffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: fire9 | ||
| output: true | ||
| activate: None | ||
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| # Layer 15: loc_conv10, inp: 32x10x7 | ||
| - out_offset: 0x6B70 # 0x0118 | ||
| in_offset: 0x4400 | ||
| processors: 0x00000000ffffffff | ||
| output_processors: 0x000000000000ffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: fire10 | ||
| output: true | ||
| activate: None | ||
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| # Layer 16: loc_conv12_2, inp: 16x5x3 | ||
| - out_offset: 0x6C88 # 0x003C | ||
| in_offset: 0x5000 | ||
| processors: 0x00000000ffff0000 | ||
| output_processors: 0x000000000000ffff | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: conv12_2 | ||
| output: true | ||
| activate: None | ||
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| # Layer 17: kpts_fire8, inp: 32x40x30 | ||
| - out_offset: 0x4000 # 0x12C0 | ||
| in_offset: 0x3000 | ||
| processors: 0x00000000ffffffff | ||
| output_processors: 0xffffffff00000000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: fire8 | ||
| output: true | ||
| activate: None | ||
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| # Layer 18: kpts_fire9, inp: 32x20x15 | ||
| - out_offset: 0x52C0 # 0x04B0 | ||
| in_offset: 0x3000 | ||
| processors: 0xffffffff00000000 | ||
| output_processors: 0xffffffff00000000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: fire9 | ||
| output: true | ||
| activate: None | ||
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| # Layer 19: kpts_fire10, inp: 32x10x7 | ||
| - out_offset: 0x5770 # 0x0118 | ||
| in_offset: 0x4400 | ||
| processors: 0x00000000ffffffff | ||
| output_processors: 0xffffffff00000000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: fire10 | ||
| output: true | ||
| activate: None | ||
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| # Layer 20: kpts_fire12_2, inp: 16x5x3 | ||
| - out_offset: 0x5888 | ||
| in_offset: 0x5000 | ||
| processors: 0x00000000ffff0000 | ||
| output_processors: 0xffffffff00000000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: conv12_2 | ||
| output: true | ||
| activate: None | ||
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| # Layer 21: cl_fire8, inp: 32x40x30 | ||
| - out_offset: 0x5400 # 0x12C0 | ||
| in_offset: 0x3000 | ||
| processors: 0x00000000ffffffff | ||
| output_processors: 0x0000000000ff0000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: fire8 | ||
| output: true | ||
| activate: None | ||
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| # Layer 22: cl_conv9, inp: 32x20x15 | ||
| - out_offset: 0x66C0 # 0x04B0 | ||
| in_offset: 0x3000 | ||
| processors: 0xffffffff00000000 | ||
| output_processors: 0x0000000000ff0000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: fire9 | ||
| output: true | ||
| activate: None | ||
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| # Layer 23: cl_conv10, inp: 32x10x7 | ||
| - out_offset: 0x6B70 # 0x0118 | ||
| in_offset: 0x4400 | ||
| processors: 0x00000000ffffffff | ||
| output_processors: 0x0000000000ff0000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: fire10 | ||
| output: true | ||
| activate: None | ||
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| # Layer 24: cl_conv12_2, inp: 16x5x3 | ||
| - out_offset: 0x6C88 # 0x003C | ||
| in_offset: 0x5000 | ||
| processors: 0x00000000ffff0000 | ||
| output_processors: 0x0000000000ff0000 | ||
| operation: conv2d | ||
| kernel_size: 3x3 | ||
| pad: 1 | ||
| in_sequences: conv12_2 | ||
| output: true | ||
| activate: None |
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| @@ -0,0 +1,6 @@ | ||
| #!/bin/sh | ||
| DEVICE="MAX78000" | ||
| TARGET="sdk/Examples/$DEVICE/CNN" | ||
| COMMON_ARGS="--device $DEVICE --timer 0 --display-checkpoint --verbose" | ||
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| python ai8xize.py --test-dir $TARGET --prefix tinierssd_kpts_qrcode --checkpoint-file trained/ai85-qrcode-tinierssd-kpts-qat8-q.pth.tar --config-file networks/ai85-tinierssd-kpts-qr.yaml --fifo $COMMON_ARGS --synthesize-input 0x2580 "$@" |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,2 @@ | ||
| #!/bin/sh | ||
| python quantize.py trained/ai85-qrcode-tinierssd-qat8.pth.tar trained/ai85-qrcode-tinierssd-qat8-q.pth.tar --device MAX78000 -v |
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