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Add max and average pooling, dispatched on every backend (#100) release-pipeline #72: Commit 1c996ea pushed by jessegrabowski
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Add max and average pooling, dispatched on every backend (#100) run_tests #201: Commit 1c996ea pushed by jessegrabowski
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Add max and average pooling, dispatched on every backend (#100) pre-commit #202: Commit 1c996ea pushed by jessegrabowski
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Add max and average pooling, dispatched on every backend (#100) mypy #139: Commit 1c996ea pushed by jessegrabowski
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Add max and average pooling, dispatched on every backend mypy #138: Pull request #100 synchronize by jessegrabowski
1m 20s jessegrabowski:pooling
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Add max and average pooling, dispatched on every backend pre-commit #201: Pull request #100 synchronize by jessegrabowski
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Add max and average pooling, dispatched on every backend run_tests #200: Pull request #100 synchronize by jessegrabowski
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Add max and average pooling, dispatched on every backend run_tests #199: Pull request #100 opened by jessegrabowski
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Add max and average pooling, dispatched on every backend pre-commit #200: Pull request #100 opened by jessegrabowski
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Add max and average pooling, dispatched on every backend mypy #137: Pull request #100 opened by jessegrabowski
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Add a Conv2D layer, and stop its gradient going through a batched mat… pre-commit #199: Commit af3297f pushed by jessegrabowski
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Add a Conv2D layer, and stop its gradient going through a batched mat… release-pipeline #71: Commit af3297f pushed by jessegrabowski
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Add a Conv2D layer, and stop its gradient going through a batched mat… mypy #136: Commit af3297f pushed by jessegrabowski
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Add a Conv2D layer, and stop its gradient going through a batched mat… run_tests #198: Commit af3297f pushed by jessegrabowski
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Add a Conv2D layer, and stop its gradient going through a batched matmul pre-commit #198: Pull request #99 synchronize by jessegrabowski
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Add a Conv2D layer, and stop its gradient going through a batched matmul run_tests #197: Pull request #99 synchronize by jessegrabowski
12m 59s jessegrabowski:conv2d
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Add a Conv2D layer, and stop its gradient going through a batched matmul mypy #135: Pull request #99 synchronize by jessegrabowski
1m 15s jessegrabowski:conv2d
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Add a Conv2D layer, and stop its gradient going through a batched matmul run_tests #196: Pull request #99 opened by jessegrabowski
13m 3s jessegrabowski:conv2d
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Add a Conv2D layer, and stop its gradient going through a batched matmul mypy #134: Pull request #99 opened by jessegrabowski
1m 8s jessegrabowski:conv2d
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Add a Conv2D layer, and stop its gradient going through a batched matmul pre-commit #197: Pull request #99 opened by jessegrabowski
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Graph Update: pip in /. #1533339910 Dependency Graph #12: by dependabot Bot
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Dispatch convolution to per-backend kernels, and give the core CI no … release-pipeline #70: Commit 65c97b5 pushed by jessegrabowski
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Dispatch convolution to per-backend kernels, and give the core CI no … run_tests #195: Commit 65c97b5 pushed by jessegrabowski
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Dispatch convolution to per-backend kernels, and give the core CI no … pre-commit #196: Commit 65c97b5 pushed by jessegrabowski
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Dispatch convolution to per-backend kernels, and give the core CI no … mypy #133: Commit 65c97b5 pushed by jessegrabowski
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