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meganeura 0.2.0
E-graph optimized neural network training on Blade
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..
adam.wgsl
attention.wgsl
bce.wgsl
bias_add.wgsl
binary.wgsl
cache_write.wgsl
cached_attention.wgsl
concat.wgsl
conv2d.wgsl
conv2d_gemm.wgsl
conv2d_gemm_small.wgsl
conv2d_grad_input.wgsl
conv2d_grad_input_gemm.wgsl
conv2d_grad_input_gemm_coop.wgsl
conv2d_grad_input_gemm_small.wgsl
conv2d_grad_weight.wgsl
conv2d_grad_weight_gemm.wgsl
conv2d_grad_weight_gemm_small.wgsl
cross_entropy.wgsl
embedding.wgsl
global_avg_pool.wgsl
global_avg_pool_grad.wgsl
group_norm.wgsl
group_norm_grad.wgsl
group_norm_silu.wgsl
layer_norm.wgsl
layer_norm_grad.wgsl
matmul.wgsl
matmul_coop.wgsl
matmul_rms_norm.wgsl
matmul_rms_norm_coop.wgsl
matmul_small.wgsl
max_pool_2d.wgsl
mha_forward.wgsl
mha_grad_k.wgsl
mha_grad_q.wgsl
mha_grad_v.wgsl
reduce.wgsl
rms_norm.wgsl
rms_norm_grad.wgsl
rms_norm_rsqrt.wgsl
rope.wgsl
rope_dynamic.wgsl
rope_grad.wgsl
scatter_add.wgsl
sgd.wgsl
sliding_window_attention.wgsl
softmax.wgsl
split.wgsl
sum_rows.wgsl
swiglu_concat.wgsl
swiglu_grad.wgsl
transpose.wgsl
unary.wgsl
upsample.wgsl
upsample_grad.wgsl