Preliminary state
This commit is contained in:
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{
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"command": "grad",
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"network": "resources/dilated_conv_residual_network.mininn",
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"inputs": [
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"resources/input_0.bin"
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],
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"expected_outputs": [
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"expected_grad_0.bin"
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"description": "2-D dilated conv (dilation=2, effective kernel 5\u00d75) + ELU with residual skip connection; batch=4, 12\u00d724",
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"points": 2
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version https://git-lfs.github.com/spec/v1
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{
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"inputs": [
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"expected_outputs": [
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"description": "single 2-D dilated convolution: 3\u00d73 kernel pre-dilated to effective 5\u00d75 (dilation=2) via pad(0,0,dil=2) on both axes; same-padding preserves shape; followed by leaky_relu; batch=4, 12\u00d724",
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"points": 2
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version https://git-lfs.github.com/spec/v1
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size 2488
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version https://git-lfs.github.com/spec/v1
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{
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"network": "resources/dilated_conv_stack_network.mininn",
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"inputs": [
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"resources/input_0.bin"
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"expected_outputs": [
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"description": "stack of three 2-D dilated convolutions with increasing dilation rates (1, 2, 4): receptive fields 3, 5, 9 on each axis; all same-padding; activations leaky_relu, ELU, GELU; batch=4, 12\u00d724",
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"points": 2
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}
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version https://git-lfs.github.com/spec/v1
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{
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"description": "2-D dilated encoder: conv(dil=1)+leaky_relu then conv(dil=2)+ELU followed by avg_pool(window=4,stride=4) to aggregate; batch=4, 12\u00d728 \u2192 3\u00d77",
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"points": 2
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version https://git-lfs.github.com/spec/v1
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size 1966
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{
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"command": "grad",
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"network": "resources/multiscale_fusion_network.mininn",
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"inputs": [
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"expected_outputs": [
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"description": "2-D multi-scale feature fusion: full-res branch (conv+leaky_relu) and half-res branch (avg_pool(2,2)+conv+ELU) merged at half resolution via addition; batch=4, 12\u00d724 \u2192 6\u00d712",
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"points": 2
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}
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