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8b9a3f3cea
* Make max op NaN propagation rules align with numpy * Adding benchmarks and testing for max op nanpropagation * Pre-commit formatting * Fix max complex64 nan propagation and add test * Improve the cpp unittest * Only check nans on non-integral types in simd_reduce_impl. * Cleanup using namespace alias * Add cpu Max nanpropagation. Fix a small fib in cpu max dispatch data types for int8/int16. * Make the max nanpropagation test more meaningful for integer types * Remove tuple unpacking syntax to comply with earlier python versions. Add cuda skip to nanpropagation tests, fix cuda implementation in a separate PR. |
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| .. | ||
| blas | ||
| comparative | ||
| batch_matmul_bench.py | ||
| compile_bench.py | ||
| conv1d_bench.py | ||
| conv2d_bench_cpu.py | ||
| conv2d_train_bench_cpu.py | ||
| conv2d_transpose_bench_cpu.py | ||
| conv3d_bench_cpu.py | ||
| conv3d_train_bench_cpu.py | ||
| conv3d_transpose_bench_cpu.py | ||
| conv_bench.py | ||
| conv_transpose_bench.py | ||
| conv_unaligned_bench.py | ||
| distributed_bench.py | ||
| einsum_bench.py | ||
| fft_bench.py | ||
| gather_bench.py | ||
| gather_mm_bench.py | ||
| gather_qmm_bench.py | ||
| hadamard_bench.py | ||
| layer_norm_bench.py | ||
| rms_norm_bench.py | ||
| rope_bench.py | ||
| scatter_bench.py | ||
| sdpa_bench.py | ||
| sdpa_vector_bench.py | ||
| single_ops.py | ||
| synchronize_bench.py | ||
| time_utils.py | ||