ttnn.maximum

This table is a trace for ttnn.maximum op. Traces are generated from nightly tt-torch runs. To see nightly runs: Nightly Runs

NameInput ShapesInput LayoutsAttributesOutput ShapesOutput LayoutsPCCATOL
ttnn.maximumtensor<[1,16,14,14,bf16]>
tensor<[1,16,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1,16,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,16,28,28,bf16]>
tensor<[1,16,28,28,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1,16,28,28,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 512 + d1 * 32 + d2, d3), memory_config: (16, 1, 'tile<32x32, bf16>', 'dram')nannan
ttnn.maximumtensor<[1,4,14,14,bf16]>
tensor<[1,4,14,14,bf16]>
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 32 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 32 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')
tensor<[1,4,14,14,bf16]>mapping_from: (d0, d1, d2, d3), mapping_to: (d0 * 128 + d1 * 32 + d2, d3), memory_config: (4, 1, 'tile<32x32, bf16>', 'dram')nannan