Preliminary state
This commit is contained in:
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{
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"command": "grad",
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"network": "resources/avg_pool_deep_network.mininn",
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"inputs": [
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],
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"expected_outputs": [
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],
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"description": "two sequential 2-D avg-pool stages: avg(window=3,stride=3) then avg(window=2,stride=2); batch=4, C=1, spatial 12\u00d712 \u2192 4\u00d74 \u2192 2\u00d72",
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{
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"description": "2-D avg_pool(window=3,stride=1) feeding into conv_same(kernel=3\u00d73)+ELU; tests avgpool output as conv input; batch=4, 8\u00d710 \u2192 6\u00d78",
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"points": 3
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}
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version https://git-lfs.github.com/spec/v1
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{
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"expected_outputs": [
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"description": "2-D avg_pool(window=5,stride=2) followed by GELU activation; batch=4, 12\u00d712 \u2192 4\u00d74",
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"points": 3
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version https://git-lfs.github.com/spec/v1
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"description": "conv(same-pad, 3x3) \u2192 GELU \u2192 avg_pool(4x4, stride=2); batch=4, spatial 8x8, output 3x3",
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{
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"description": "2-D avg_pool(window=5,stride=2) followed by layer normalisation on last axis; input 12\u00d730 \u2192 4\u00d713; batch=4",
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"points": 3
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}
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