mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-02-03 11:14:56 -05:00
1f9d2442b9
* pytorch scatter -> scatter_reduce * WIP scatter_reduce implementation * _pre_scatter return type hint * split out src, mask to satisfy linter * Add src cast back in * dict of lambdas instead of ifs * sum and prod reduction ops with include_self * add reduce arg error message * add amax and amin reduction ops * Fix include_self for higher dims * Simplify * Simplify amax and amin too * Pull include_self logic out into _inv_mask function * reduce arg cannot be None for scatter_reduce * Fix self-mask issue * Add mean reduce op * Add tests * any() not needed here * remove comment * End support for Tensor src with reduce arg in tinygrad scatter * Process index, dim inside actual functions * Add scatter_reduce to onnx * Add excluded onnx ScatterElements reduction tests back in * Save 2 lines on the mask helpers * Update docs * Add include_self=False tests * cleanup * Remove unneeded helper function --------- Co-authored-by: chenyu <chenyu@fastmail.com>
51 lines
1.3 KiB
Markdown
51 lines
1.3 KiB
Markdown
## Reduce
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::: tinygrad.Tensor.sum
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::: tinygrad.Tensor.prod
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::: tinygrad.Tensor.max
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::: tinygrad.Tensor.min
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::: tinygrad.Tensor.any
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::: tinygrad.Tensor.all
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::: tinygrad.Tensor.mean
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::: tinygrad.Tensor.var
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::: tinygrad.Tensor.std
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::: tinygrad.Tensor.std_mean
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::: tinygrad.Tensor.softmax
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::: tinygrad.Tensor.log_softmax
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::: tinygrad.Tensor.logsumexp
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::: tinygrad.Tensor.logcumsumexp
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::: tinygrad.Tensor.argmax
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::: tinygrad.Tensor.argmin
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## Processing
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::: tinygrad.Tensor.avg_pool2d
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::: tinygrad.Tensor.max_pool2d
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::: tinygrad.Tensor.conv2d
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::: tinygrad.Tensor.conv_transpose2d
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::: tinygrad.Tensor.dot
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::: tinygrad.Tensor.matmul
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::: tinygrad.Tensor.einsum
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::: tinygrad.Tensor.cumsum
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::: tinygrad.Tensor.cummax
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::: tinygrad.Tensor.triu
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::: tinygrad.Tensor.tril
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::: tinygrad.Tensor.interpolate
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::: tinygrad.Tensor.scatter
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::: tinygrad.Tensor.scatter_reduce
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## Neural Network (functional)
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::: tinygrad.Tensor.linear
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::: tinygrad.Tensor.sequential
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::: tinygrad.Tensor.layernorm
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::: tinygrad.Tensor.batchnorm
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::: tinygrad.Tensor.dropout
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::: tinygrad.Tensor.one_hot
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::: tinygrad.Tensor.scaled_dot_product_attention
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::: tinygrad.Tensor.binary_crossentropy
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::: tinygrad.Tensor.binary_crossentropy_logits
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::: tinygrad.Tensor.sparse_categorical_crossentropy
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::: tinygrad.Tensor.cross_entropy
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::: tinygrad.Tensor.nll_loss
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