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at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1})", + "count": 45, + "self_cpu_us": 0, + "self_device_us": 57.79200000000128 + }, + { + "op": "aten::sigmoid", + "count": 39, + "self_cpu_us": 174.8300000000163, + "self_device_us": 57.37400000000616 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array >(int, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array)", + "count": 36, + "self_cpu_us": 0, + "self_device_us": 52.991000000002714 + }, + { + "op": "aten::mean", + "count": 12, + "self_cpu_us": 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at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 29.40800000000536 + }, + { + "op": "aten::bitwise_not", + "count": 18, + "self_cpu_us": 67.54699999998593, + "self_device_us": 23.6469999999872 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array >(int, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array)", + "count": 18, + "self_cpu_us": 0, + "self_device_us": 23.6469999999872 + }, + { + "op": "void cutlass::Kernel2(cutlass_75_wmma_tensorop_bf16_s161616gemm_bf16_32x32_32x1_tn_align1::Params)", + "count": 9, + 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int, bool)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.887999999994463 + }, + { + "op": "void at::native::(anonymous namespace)::indexSelectSmallIndex(at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, int, int, unsigned int, long)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.85499999999547 + }, + { + "op": "void at::native::(anonymous namespace)::indexSelectSmallIndex(at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, int, int, unsigned int, long)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.790999999998348 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 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at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 0ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<1ul, int>, c10::BFloat16 const, 1ul, torch::headeronly::DefaultPtrTraits, int>, bool, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.519999999999527 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 6.528000000000247 + }, + { + "op": "void at::native::elementwise_kernel<128, 2, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.631999999999607 + }, + { + "op": "aten::_index_put_impl_", + "count": 3, + "self_cpu_us": 21.58099999999922, + "self_device_us": 5.438999999999396 + }, + { + "op": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl 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at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array)", + "count": 36, + "self_cpu_us": 0, + "self_device_us": 53.91699999998855 + }, + { + "op": "aten::mean", + "count": 12, + "self_cpu_us": 89.50599999999758, + "self_device_us": 42.68100000000777 + }, + { + "op": "void at::native::reduce_kernel<128, 4, at::native::ReduceOp, unsigned int, c10::BFloat16, 4, 8> >(at::native::ReduceOp, unsigned int, c10::BFloat16, 4, 8>)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 42.68100000000777 + }, + { + "op": "void at::native::unrolled_elementwise_kernel, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1> >(int, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1}, 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at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda(float)#1}, std::array)", + "count": 258, + "self_cpu_us": 0, + "self_device_us": 326.27299999998786 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 267, + "self_cpu_us": 0, + "self_device_us": 282.5979999999945 + }, + { + "op": "aten::mul", + "count": 120, + "self_cpu_us": 525.0540000000092, + "self_device_us": 240.13599999999906 + }, + { + "op": "aten::cat", + "count": 96, + "self_cpu_us": 470.6430000000146, + "self_device_us": 125.65499999999884 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 42, + "self_cpu_us": 0, + "self_device_us": 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at::native::memory::StoreWithCast<1> >(int, at::native::BinaryFunctor >, std::array, TrivialOffsetCalculator<2, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<2>, at::native::memory::StoreWithCast<1>)", + "count": 51, + "self_cpu_us": 0, + "self_device_us": 85.84699999999702 + }, + { + "op": "aten::tanh", + "count": 51, + "self_cpu_us": 212.7650000000067, + "self_device_us": 82.39100000000417 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::tanh_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array >(int, at::native::tanh_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array)", + "count": 51, + "self_cpu_us": 0, + "self_device_us": 82.39100000000417 + }, + { + "op": "void cutlass::Kernel2(cutlass_80_tensorop_s1688gemm_64x64_32x6_tn_align4::Params)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 80.57099999999946 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1})", + "count": 36, + "self_cpu_us": 0, + "self_device_us": 79.45100000001185 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 68.98599999999988 + }, + { + "op": "aten::sigmoid", + "count": 39, + "self_cpu_us": 163.2390000000023, + "self_device_us": 62.2330000000029 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1})", + "count": 45, + "self_cpu_us": 0, + "self_device_us": 62.168999999991684 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array >(int, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array)", + "count": 36, + "self_cpu_us": 0, + "self_device_us": 57.56100000000333 + }, + { + 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cutlass::Kernel2(cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_64x2_tn_align2::Params)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 30.492999999995845 + }, + { + "op": "void at::native::unrolled_elementwise_kernel, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1> >(int, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 28.22300000001178 + }, + { + "op": "aten::bitwise_not", + "count": 18, + "self_cpu_us": 73.50900000000456, + "self_device_us": 24.317999999997483 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array >(int, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array)", + "count": 18, + "self_cpu_us": 0, + "self_device_us": 24.317999999997483 + }, + { + "op": "void cutlass::Kernel2(cutlass_75_wmma_tensorop_bf16_s161616gemm_bf16_32x32_32x1_tn_align1::Params)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 22.014999999991232 + }, + { + "op": "void cublasLt::splitKreduce_kernel<32, 16, int, __nv_bfloat16, __nv_bfloat16, float, __nv_bfloat16, false, __nv_bfloat16, __nv_bfloat16, __nv_bfloat16, true, true, false, false>(cublasLt::cublasSplitKParams, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, float const*, float const*, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, void*, long, float*, int*, float*, float*, float const*, float const*, float const*, float const*, float const*)", + "count": 9, + "self_cpu_us": 0, + 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>(at::native::ReduceOp, unsigned int, bool, 4, 4>)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 16.510999999998603 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array >(int, at::native::CUDAFunctor_add, std::array)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 15.454000000003361 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_vectorized, unsigned int, 1, 128, 1, 16, 8>(char*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 14.973999999991065 + }, + { + "op": "aten::_softmax", + "count": 9, + "self_cpu_us": 43.45400000000336, + "self_device_us": 14.752000000004955 + }, + { + "op": "aten::bitwise_or", + "count": 9, + "self_cpu_us": 46.737999999995736, + "self_device_us": 13.822000000001935 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1})", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 13.822000000001935 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<2, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 12.924000000002252 + }, + { + "op": "aten::masked_fill_", + "count": 9, + "self_cpu_us": 31.3899999999976, + "self_device_us": 12.541999999999462 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::(anonymous namespace)::masked_fill_kernel(at::TensorIterator&, c10::Scalar const&)::{lambda()#1}::operator()() const::{lambda()#7}::operator()() const::{lambda(float, bool)#1}, std::array >(int, at::native::(anonymous namespace)::masked_fill_kernel(at::TensorIterator&, c10::Scalar const&)::{lambda()#1}::operator()() const::{lambda()#7}::operator()() const::{lambda(float, bool)#1}, std::array)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 12.541999999999462 + }, + { + "op": "void (anonymous namespace)::softmax_warp_forward(float*, float const*, int, int, int, bool const*, int, bool)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.952000000002045 + }, + { + "op": "void at::native::(anonymous namespace)::indexSelectSmallIndex(at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, int, int, unsigned int, long)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.824999999997999 + }, + { + "op": "void at::native::(anonymous namespace)::indexSelectSmallIndex(at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, int, int, unsigned int, long)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.695000000000618 + }, + { + "op": "aten::_conv_depthwise2d", + "count": 3, + "self_cpu_us": 14.777000000000044, + "self_device_us": 7.936000000004242 + }, + { + "op": "void at::native::(anonymous namespace)::conv_depthwise2d_forward_kernel_generic(torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 0ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<1ul, int>, c10::BFloat16 const, 1ul, torch::headeronly::DefaultPtrTraits, int>, bool, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.936000000004242 + }, + { + "op": "aten::native_layer_norm", + "count": 3, + "self_cpu_us": 26.243000000000848, + "self_device_us": 7.423000000000684 + }, + { + "op": "void at::native::(anonymous namespace)::vectorized_layer_norm_kernel(int, float, float const*, float const*, float const*, float*, float*, float*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.423000000000684 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 6.495999999998276 + }, + { + "op": "aten::_index_put_impl_", + "count": 3, + "self_cpu_us": 22.804999999997563, + "self_device_us": 5.440000000001419 + }, + { + "op": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.440000000001419 + }, + { + "op": "void at::native::elementwise_kernel<128, 2, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.375999999999294 + }, + { + "op": "void (anonymous namespace)::softmax_warp_forward(float*, float const*, int, int, int, bool const*, int, bool)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.80000000000291 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array >(int, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.671999999999571 + }, + { + "op": "aten::gather", + "count": 3, + "self_cpu_us": 28.72800000000143, + "self_device_us": 4.4789999999998145 + }, + { + "op": "void at::native::vectorized_gather_kernel<16, long>(char*, char*, long*, int, long, long, long, long, bool)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.4789999999998145 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_contig, unsigned int, 3, 128, 1>(at::native::(anonymous namespace)::OpaqueType<1u>*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.1909999999998035 + }, + { + "op": "aten::gelu", + "count": 3, + 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std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 35.23099999998976 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1})", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 32.8640000000014 + }, + { + "op": "void cutlass::Kernel2(cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x2_tn_align2::Params)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 31.07100000000355 + }, + { + "op": "void cutlass::Kernel2(cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_64x2_tn_align2::Params)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 30.784000000014203 + }, + 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at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 8.447999999999865 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 8.287000000000262 + }, + { + "op": "aten::native_layer_norm", + "count": 3, + "self_cpu_us": 26.541999999995824, + "self_device_us": 7.678999999999633 + }, + { + "op": "void at::native::(anonymous namespace)::vectorized_layer_norm_kernel(int, float, float const*, float const*, float const*, float*, float*, float*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.678999999999633 + }, + { + "op": "void cublasLt::splitKreduce_kernel<32, 16, int, __nv_bfloat16, __nv_bfloat16, float, 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c10::BFloat16, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 0ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<1ul, int>, c10::BFloat16 const, 1ul, torch::headeronly::DefaultPtrTraits, int>, bool, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.520000000000437 + }, + { + "op": "Memcpy DtoD (Device -> Device)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 7.3279999999981555 + }, + { + "op": "void at::native::elementwise_kernel<128, 2, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.631999999998698 + }, + { + "op": "aten::_index_put_impl_", + "count": 3, + "self_cpu_us": 22.57600000000275, + "self_device_us": 5.4080000000003565 + }, + { + "op": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.4080000000003565 + }, + { + "op": "aten::gelu", + "count": 3, + "self_cpu_us": 17.141000000000076, + "self_device_us": 5.119999999999891 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array >(int, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.119999999999891 + }, + { + "op": "aten::gather", + "count": 3, + "self_cpu_us": 28.953999999998814, + "self_device_us": 4.5120000000010805 + }, + { + "op": "void at::native::vectorized_gather_kernel<16, long>(char*, char*, long*, int, long, long, long, long, bool)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.5120000000010805 + }, + { + "op": "aten::add", + "count": 3, + "self_cpu_us": 17.898999999999887, + "self_device_us": 4.415999999999258 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array >(int, at::native::CUDAFunctor_add, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.415999999999258 + }, + { + "op": "aten::cat", + "count": 3, + "self_cpu_us": 29.108000000002903, + "self_device_us": 3.679999999998927 + }, + { + "op": "aten::arange", + "count": 12, + 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const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1})", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 10.207999999998265 + }, + { + "op": "void at::native::(anonymous namespace)::indexSelectSmallIndex(at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, int, int, unsigned int, long)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.758999999995467 + }, + { + "op": "aten::native_layer_norm", + "count": 3, + "self_cpu_us": 25.99599999999873, + "self_device_us": 8.768999999999778 + }, + { + "op": "void at::native::(anonymous namespace)::vectorized_layer_norm_kernel(int, float, float const*, float const*, float const*, float*, float*, float*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 8.768999999999778 + }, + 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3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 0ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<1ul, int>, c10::BFloat16 const, 1ul, torch::headeronly::DefaultPtrTraits, int>, bool, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 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c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.376999999999953 + }, + { + "op": "aten::gelu", + "count": 3, + "self_cpu_us": 17.16400000000067, + "self_device_us": 4.639999999999873 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array >(int, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.639999999999873 + }, + { + "op": "aten::gather", + "count": 3, + "self_cpu_us": 28.656999999995605, + "self_device_us": 4.321000000000822 + }, + { + "op": "void at::native::vectorized_gather_kernel<16, long>(char*, char*, long*, int, long, long, long, long, bool)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.321000000000822 + }, + { + "op": "aten::add", + "count": 3, + "self_cpu_us": 18.055000000000746, + "self_device_us": 3.9999999999990905 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array >(int, at::native::CUDAFunctor_add, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 3.9999999999990905 + }, + { + "op": "aten::cat", + "count": 3, + "self_cpu_us": 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at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 75, + "self_cpu_us": 0, + "self_device_us": 82.04199999999469 + }, + { + "op": "void cutlass::Kernel2(cutlass_80_tensorop_s1688gemm_64x64_32x6_tn_align4::Params)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 80.57100000000355 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 68.95800000000008 + }, + { + "op": "aten::addmm", + "count": 12, + "self_cpu_us": 1043.6340000000018, + "self_device_us": 60.76900000000114 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda(float)#1}, std::array >(int, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda(float)#1}, std::array)", + "count": 45, 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at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 8.448000000000548 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 8.416000000001077 + }, + { + "op": "aten::_conv_depthwise2d", + "count": 3, + "self_cpu_us": 14.62099999999873, + "self_device_us": 7.935999999999922 + }, + { + "op": "void at::native::(anonymous 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int, int, int, int, int, int, int, int, int, int, int, int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.935999999999922 + }, + { + "op": "aten::native_layer_norm", + "count": 3, + "self_cpu_us": 27.05099999999902, + "self_device_us": 7.4240000000002055 + }, + { + "op": "void at::native::(anonymous namespace)::vectorized_layer_norm_kernel(int, float, float const*, float const*, float const*, float*, float*, float*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.4240000000002055 + }, + { + "op": "void cublasLt::splitKreduce_kernel<32, 16, int, __nv_bfloat16, __nv_bfloat16, float, __nv_bfloat16, false, __nv_bfloat16, __nv_bfloat16, __nv_bfloat16, true, true, false, false>(cublasLt::cublasSplitKParams, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, float const*, float const*, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, void*, long, float*, int*, float*, float*, float const*, float const*, float const*, float const*, float const*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.359999999999673 + }, + { + "op": "Memcpy DtoD (Device -> Device)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 7.231999999999516 + }, + { + "op": "aten::_index_put_impl_", + "count": 3, + "self_cpu_us": 22.633999999999332, + "self_device_us": 5.407999999999902 + }, + { + "op": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.407999999999902 + }, + { + "op": "void at::native::elementwise_kernel<128, 2, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.3760000000006585 + }, + { + "op": "aten::gather", + "count": 3, + "self_cpu_us": 33.79200000000128, + "self_device_us": 4.512000000000171 + }, + { + "op": "void at::native::vectorized_gather_kernel<16, long>(char*, char*, long*, int, long, long, 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at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1})", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 11.295999999998003 + }, + { + "op": "void cutlass::Kernel2(cutlass_75_wmma_tensorop_bf16_s161616gemm_bf16_32x32_32x1_tn_align1::Params)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 10.49500000000262 + }, + { + "op": "aten::native_layer_norm", + "count": 3, + "self_cpu_us": 27.039999999997008, + "self_device_us": 9.920000000003483 + }, + { + "op": "void at::native::(anonymous namespace)::vectorized_layer_norm_kernel(int, float, float const*, float const*, float const*, float*, float*, float*)", + 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at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 8.51099999999883 + }, + { + "op": "void cublasLt::splitKreduce_kernel<32, 16, int, __nv_bfloat16, __nv_bfloat16, float, __nv_bfloat16, false, __nv_bfloat16, __nv_bfloat16, __nv_bfloat16, true, true, false, false>(cublasLt::cublasSplitKParams, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, float const*, float const*, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, void*, long, float*, int*, float*, float*, float const*, float const*, float const*, float const*, float const*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.968000000000757 + }, + { + "op": "Memcpy DtoD 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at::native::tanh_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array)", + "count": 18, + "self_cpu_us": 0, + "self_device_us": 31.00900000000729 + }, + { + "op": "void cutlass::Kernel2(cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_32x32_64x2_tn_align2::Params)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 30.338999999995394 + }, + { + "op": "void at::native::unrolled_elementwise_kernel, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1> >(int, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 29.856000000003405 + }, + { + "op": "void at::native::unrolled_elementwise_kernel >, std::array, 4, TrivialOffsetCalculator<2, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<2>, at::native::memory::StoreWithCast<1> >(int, at::native::BinaryFunctor >, std::array, TrivialOffsetCalculator<2, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<2>, at::native::memory::StoreWithCast<1>)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 27.903999999996813 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1})", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 24.641000000006898 + }, + { + "op": "aten::bitwise_not", + "count": 18, + "self_cpu_us": 69.99700000000212, + "self_device_us": 23.744999999991705 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array >(int, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array)", + "count": 18, + "self_cpu_us": 0, + "self_device_us": 23.744999999991705 + }, + { + "op": "void cutlass::Kernel2(cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x2_tn_align8::Params)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 22.275000000000546 + }, + { + "op": "void cutlass::Kernel2(cutlass_75_wmma_tensorop_bf16_s161616gemm_bf16_32x32_32x1_tn_align1::Params)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 21.76100000000315 + }, + { + "op": "void cublasLt::splitKreduce_kernel<32, 16, int, __nv_bfloat16, __nv_bfloat16, float, __nv_bfloat16, false, __nv_bfloat16, __nv_bfloat16, __nv_bfloat16, true, true, false, false>(cublasLt::cublasSplitKParams, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, float const*, float const*, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, void*, long, float*, int*, float*, float*, float const*, float const*, float const*, float const*, float const*)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 20.414999999999054 + }, + { + "op": "aten::add", + "count": 15, + "self_cpu_us": 67.63300000000254, + "self_device_us": 20.09699999999475 + }, + { + "op": "Memcpy DtoD (Device -> Device)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 17.632999999996628 + }, + { + "op": "aten::any", + "count": 9, + "self_cpu_us": 68.5630000000092, + "self_device_us": 16.284999999998945 + }, + { + "op": "void at::native::reduce_kernel<512, 1, at::native::ReduceOp, unsigned int, bool, 4, 4> >(at::native::ReduceOp, unsigned int, bool, 4, 4>)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 16.284999999998945 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array >(int, at::native::CUDAFunctor_add, std::array)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 15.615999999994528 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_vectorized, unsigned int, 1, 128, 1, 16, 8>(char*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 15.201999999998407 + }, + { + "op": "aten::bitwise_or", + "count": 9, + "self_cpu_us": 43.88199999999597, + "self_device_us": 15.075999999995474 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1})", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 15.075999999995474 + }, + { + "op": "aten::_softmax", + "count": 9, + "self_cpu_us": 42.56800000000385, + "self_device_us": 14.560000000003129 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy, unsigned int, 4, 64, 64>(at::native::(anonymous namespace)::OpaqueType<2u>*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 64, 64>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 14.560000000003129 + }, + { + "op": "aten::baddbmm", + "count": 12, + "self_cpu_us": 266.840999999994, + "self_device_us": 13.601000000001477 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<2, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 12.897999999999229 + }, + { + "op": "aten::masked_fill_", + "count": 9, + "self_cpu_us": 30.294999999998254, + "self_device_us": 12.576999999993859 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::(anonymous namespace)::masked_fill_kernel(at::TensorIterator&, c10::Scalar const&)::{lambda()#1}::operator()() const::{lambda()#7}::operator()() const::{lambda(float, bool)#1}, std::array >(int, at::native::(anonymous namespace)::masked_fill_kernel(at::TensorIterator&, c10::Scalar const&)::{lambda()#1}::operator()() const::{lambda()#7}::operator()() const::{lambda(float, bool)#1}, std::array)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 12.576999999993859 + }, + { + "op": "void (anonymous namespace)::softmax_warp_forward(float*, float const*, int, int, int, bool const*, int, bool)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 10.080000000002656 + }, + { + "op": "aten::sigmoid", + "count": 6, + "self_cpu_us": 31.706999999999425, + "self_device_us": 9.951999999996588 + }, + { + "op": "void at::native::(anonymous namespace)::indexSelectSmallIndex(at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, int, int, unsigned int, long)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.824999999998909 + }, + { + "op": "void at::native::(anonymous namespace)::indexSelectSmallIndex(at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, int, int, unsigned int, long)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.696999999999207 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 8.288000000000466 + }, + { + "op": "aten::native_layer_norm", + "count": 3, + "self_cpu_us": 26.922999999999774, + "self_device_us": 7.775999999998476 + }, + { + "op": "void at::native::(anonymous namespace)::vectorized_layer_norm_kernel(int, float, float const*, float const*, float const*, float*, float*, float*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.775999999998476 + }, + { + "op": "aten::_conv_depthwise2d", + "count": 3, + "self_cpu_us": 14.66700000000219, + "self_device_us": 7.584999999998672 + }, + { + "op": "void at::native::(anonymous namespace)::conv_depthwise2d_forward_kernel_generic(torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 0ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<1ul, int>, c10::BFloat16 const, 1ul, torch::headeronly::DefaultPtrTraits, int>, bool, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.584999999998672 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.360000000000582 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.007999999999811 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 6.56000000000131 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 6.559999999999491 + }, + { + "op": "void at::native::elementwise_kernel<128, 2, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.664999999999054 + }, + { + "op": "aten::_index_put_impl_", + "count": 3, + "self_cpu_us": 21.329999999999018, + "self_device_us": 5.631000000000768 + }, + { + "op": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.631000000000768 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array >(int, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.471999999999753 + }, + { + "op": "aten::gelu", + "count": 3, + "self_cpu_us": 17.112000000000535, + "self_device_us": 5.056000000000495 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array >(int, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.056000000000495 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_alignedK_contig, unsigned int, 3, 128, 1, 16>(at::native::(anonymous namespace)::OpaqueType<4u>*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.6709999999984575 + }, + { + "op": "aten::gather", + "count": 3, + "self_cpu_us": 28.27300000000014, + "self_device_us": 4.5120000000010805 + }, + { + "op": "void at::native::vectorized_gather_kernel<16, long>(char*, char*, long*, int, long, long, long, long, bool)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.5120000000010805 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array >(int, at::native::CUDAFunctor_add, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.481000000000222 + }, + { + "op": "void (anonymous namespace)::softmax_warp_forward(float*, float const*, int, int, int, bool const*, int, bool)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.480000000000473 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array >(int, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.479999999996835 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_vectorized, unsigned int, 3, 128, 1, 16, 8>(char*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.128000000000611 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_contig, unsigned int, 3, 128, 1>(at::native::(anonymous namespace)::OpaqueType<1u>*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.127999999998792 + }, + { + "op": "aten::sub", + "count": 3, + "self_cpu_us": 21.0309999999954, + "self_device_us": 3.8400000000001455 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctorOnOther_add, std::array >(int, at::native::CUDAFunctorOnOther_add, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 3.8400000000001455 + }, + { + "op": "aten::arange", + "count": 12, + "self_cpu_us": 33.04000000000315, + "self_device_us": 3.1679999999973916 + }, + { + "op": "void (anonymous namespace)::elementwise_kernel_with_index(int, at::native::arange_cuda_out(c10::Scalar const&, c10::Scalar const&, c10::Scalar const&, at::Tensor&)::{lambda()#1}::operator()() const::{lambda()#4}::operator()() const::{lambda(long)#1}, function_traits::result_type*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 3.1679999999973916 + }, + { + "op": "Memcpy DtoH (Device -> Pageable)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 1.8239999999987049 + }, + { + "op": "Memcpy HtoD (Pageable -> Device)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 1.3439999999991414 + }, + { + "op": "Activity Buffer Request", + "count": 1, + "self_cpu_us": 2224.8849999999998, + "self_device_us": 1.05600000000004 + }, + { + "op": "cudaLaunchKernel", + "count": 1788, + "self_cpu_us": 5118.2819999999965, + "self_device_us": 0 + }, + { + "op": "aten::empty_strided", + "count": 150, + "self_cpu_us": 474.90599999997175, + "self_device_us": 0.0 + }, + { + "op": "aten::empty", + "count": 138, + "self_cpu_us": 398.94399999998734, + 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float>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 6.912000000000262 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 6.751000000000204 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 6.465000000001055 + }, + { + "op": "void at::native::elementwise_kernel<128, 2, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 6.14400000000137 + }, + { + "op": "aten::_index_put_impl_", + "count": 3, + "self_cpu_us": 21.42799999999579, + "self_device_us": 5.567999999999756 + }, + { + "op": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.567999999999756 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array >(int, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.864000000003216 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_alignedK_contig, unsigned int, 3, 128, 1, 16>(at::native::(anonymous namespace)::OpaqueType<4u>*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.639999999999418 + }, + { + "op": "aten::gelu", + "count": 3, + "self_cpu_us": 17.097000000001117, + "self_device_us": 4.511999999997897 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array >(int, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.511999999997897 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array >(int, 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at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.192000000000007 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_vectorized, unsigned int, 3, 128, 1, 16, 8>(char*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.1599999999980355 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array >(int, at::native::CUDAFunctor_add, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.033000000000129 + }, + { + "op": "aten::sub", + "count": 3, + "self_cpu_us": 21.552999999999884, + "self_device_us": 3.873000000002321 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctorOnOther_add, std::array >(int, 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std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 28.66999999999939 + }, + { + "op": "void at::native::unrolled_elementwise_kernel >, std::array, 4, TrivialOffsetCalculator<2, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<2>, at::native::memory::StoreWithCast<1> >(int, at::native::BinaryFunctor >, std::array, TrivialOffsetCalculator<2, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<2>, at::native::memory::StoreWithCast<1>)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 26.078999999997905 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1})", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 25.630999999998494 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#12}::operator()() const::{lambda(c10::BFloat16)#1} const&)::{lambda(int)#1})", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 24.606999999998834 + }, + { + "op": "aten::bitwise_not", + "count": 18, + "self_cpu_us": 66.68899999999485, + "self_device_us": 24.575000000000728 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array >(int, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array)", + "count": 18, + "self_cpu_us": 0, + "self_device_us": 24.575000000000728 + }, + { + "op": "void cutlass::Kernel2(cutlass_80_wmma_tensorop_bf16_s161616gemm_bf16_16x16_128x2_tn_align8::Params)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 22.303999999999178 + }, + { + "op": "void cutlass::Kernel2(cutlass_75_wmma_tensorop_bf16_s161616gemm_bf16_32x32_32x1_tn_align1::Params)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 21.855999999998403 + }, + { + "op": "void cublasLt::splitKreduce_kernel<32, 16, int, __nv_bfloat16, __nv_bfloat16, float, __nv_bfloat16, false, __nv_bfloat16, __nv_bfloat16, __nv_bfloat16, true, true, false, false>(cublasLt::cublasSplitKParams, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, __nv_bfloat16*, float const*, float const*, __nv_bfloat16 const*, __nv_bfloat16 const*, __nv_bfloat16*, void*, long, float*, int*, float*, float*, float const*, float const*, float const*, float const*, float const*)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 19.90499999999838 + }, + { + "op": "aten::add", + "count": 15, + "self_cpu_us": 75.86600000000067, + "self_device_us": 19.550999999996748 + }, + { + "op": "Memcpy DtoD (Device -> Device)", + "count": 15, + "self_cpu_us": 0, + "self_device_us": 17.66199999999867 + }, + { + "op": "aten::any", + "count": 9, + "self_cpu_us": 62.598000000001775, + "self_device_us": 16.447000000003754 + }, + { + "op": "void at::native::reduce_kernel<512, 1, at::native::ReduceOp, unsigned int, bool, 4, 4> >(at::native::ReduceOp, unsigned int, bool, 4, 4>)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 16.447000000003754 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array >(int, at::native::CUDAFunctor_add, std::array)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 15.551999999996951 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_vectorized, unsigned int, 1, 128, 1, 16, 8>(char*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 15.231999999996333 + }, + { + "op": "aten::_softmax", + "count": 9, + "self_cpu_us": 41.76000000000204, + "self_device_us": 14.782999999997628 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 14.338000000002012 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy, unsigned int, 4, 64, 64>(at::native::(anonymous namespace)::OpaqueType<2u>*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 64, 64>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 14.27099999999973 + }, + { + "op": "aten::bitwise_or", + "count": 9, + "self_cpu_us": 42.79899999999998, + "self_device_us": 13.95100000000275 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1})", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 13.95100000000275 + }, + { + "op": "aten::baddbmm", + "count": 12, + "self_cpu_us": 250.13300000000163, + "self_device_us": 13.537000000001171 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<2, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 12, + "self_cpu_us": 0, + "self_device_us": 12.99199999999928 + }, + { + "op": "aten::masked_fill_", + "count": 9, + "self_cpu_us": 29.48500000000604, + "self_device_us": 12.350999999997839 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::(anonymous namespace)::masked_fill_kernel(at::TensorIterator&, c10::Scalar const&)::{lambda()#1}::operator()() const::{lambda()#7}::operator()() const::{lambda(float, bool)#1}, std::array >(int, at::native::(anonymous namespace)::masked_fill_kernel(at::TensorIterator&, c10::Scalar const&)::{lambda()#1}::operator()() const::{lambda()#7}::operator()() const::{lambda(float, bool)#1}, std::array)", + "count": 9, + "self_cpu_us": 0, + "self_device_us": 12.350999999997839 + }, + { + "op": "void (anonymous namespace)::softmax_warp_forward(float*, float const*, int, int, int, bool const*, int, bool)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.950999999999112 + }, + { + "op": "aten::sigmoid", + "count": 6, + "self_cpu_us": 30.952000000002045, + "self_device_us": 9.824000000001433 + }, + { + "op": "void at::native::(anonymous namespace)::indexSelectSmallIndex(at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, int, int, unsigned int, long)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.760000000000218 + }, + { + "op": "void at::native::(anonymous namespace)::indexSelectSmallIndex(at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, at::cuda::detail::TensorInfo, int, int, unsigned int, long)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 9.695999999999913 + }, + { + "op": "aten::_conv_depthwise2d", + "count": 3, + "self_cpu_us": 13.716999999998734, + "self_device_us": 7.999999999998863 + }, + { + "op": "void at::native::(anonymous namespace)::conv_depthwise2d_forward_kernel_generic(torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 3ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<4ul, int>, c10::BFloat16 const, 4ul, torch::headeronly::DefaultPtrTraits, int>, torch::headeronly::detail::GenericPackedTensorAccessor, c10::BFloat16 const, 0ul, torch::headeronly::DefaultPtrTraits, int>, at::detail::IndexBoundsCheck<1ul, int>, c10::BFloat16 const, 1ul, torch::headeronly::DefaultPtrTraits, int>, bool, int, int, int, int, int, int, int, int, int, int, int, int, int, int, int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.999999999998863 + }, + { + "op": "aten::native_layer_norm", + "count": 3, + "self_cpu_us": 25.959999999996626, + "self_device_us": 7.584000000001197 + }, + { + "op": "void at::native::(anonymous namespace)::vectorized_layer_norm_kernel(int, float, float const*, float const*, float const*, float*, float*, float*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.584000000001197 + }, + { + "op": "void at::native::elementwise_kernel<128, 4, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast > >(at::TensorIteratorBase&, at::native::BinaryFunctor > const&)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 7.137000000000626 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array >(int, at::native::FillFunctor, std::array)", + "count": 6, + "self_cpu_us": 0, + "self_device_us": 6.464000000000851 + }, + { + "op": "std::enable_if::type internal::gemvx::kernel, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float> >(cublasGemvParamsEx, cublasGemvTensorStridedBatched<__nv_bfloat16 const>, cublasGemvTensorStridedBatched<__nv_bfloat16>, float>)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 6.463999999999942 + }, + { + "op": "aten::_index_put_impl_", + "count": 3, + "self_cpu_us": 21.62400000000025, + "self_device_us": 5.600000000000591 + }, + { + "op": "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_put_kernel_impl >(at::TensorIterator&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.600000000000591 + }, + { + "op": "void at::native::elementwise_kernel<128, 2, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1}>(int, at::native::gpu_kernel_impl_nocast(at::TensorIteratorBase&, at::native::direct_copy_kernel_cuda(at::TensorIteratorBase&)::{lambda()#3}::operator()() const::{lambda()#7}::operator()() const::{lambda(float)#1} const&)::{lambda(int)#1})", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 5.536000000000286 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array >(int, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#4}::operator()() const::{lambda(c10::BFloat16)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.992000000001099 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array >(int, at::native::sigmoid_kernel_cuda(at::TensorIteratorBase&)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.832000000000335 + }, + { + "op": "void (anonymous namespace)::softmax_warp_forward(float*, float const*, int, int, int, bool const*, int, bool)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.831999999998516 + }, + { + "op": "aten::gather", + "count": 3, + "self_cpu_us": 36.146999999997206, + "self_device_us": 4.4470000000007985 + }, + { + "op": "void at::native::vectorized_gather_kernel<16, long>(char*, char*, long*, int, long, long, long, long, bool)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.4470000000007985 + }, + { + "op": "aten::gelu", + "count": 3, + "self_cpu_us": 17.10699999999997, + "self_device_us": 4.222999999999502 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array >(int, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase&, at::native::GeluType)::{lambda()#2}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.222999999999502 + }, + { + "op": "aten::sub", + "count": 3, + "self_cpu_us": 20.36699999999928, + "self_device_us": 4.129000000000815 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctorOnOther_add, std::array >(int, at::native::CUDAFunctorOnOther_add, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.129000000000815 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_contig, unsigned int, 3, 128, 1>(at::native::(anonymous namespace)::OpaqueType<1u>*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.128000000000611 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_vectorized, unsigned int, 3, 128, 1, 16, 8>(char*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 4.06499999999869 + }, + { + "op": "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array >(int, at::native::CUDAFunctor_add, std::array)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 3.9989999999997963 + }, + { + "op": "void at::native::(anonymous namespace)::CatArrayBatchedCopy_alignedK_contig, unsigned int, 3, 128, 1, 16>(at::native::(anonymous namespace)::OpaqueType<4u>*, at::native::(anonymous namespace)::CatArrInputTensorMetadata, unsigned int, 128, 1>, at::native::(anonymous namespace)::TensorSizeStride, int, unsigned int)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 3.8400000000019645 + }, + { + "op": "aten::arange", + "count": 12, + "self_cpu_us": 32.26300000000083, + "self_device_us": 3.1680000000010295 + }, + { + "op": "void (anonymous namespace)::elementwise_kernel_with_index(int, at::native::arange_cuda_out(c10::Scalar const&, c10::Scalar const&, c10::Scalar const&, at::Tensor&)::{lambda()#1}::operator()() const::{lambda()#4}::operator()() const::{lambda(long)#1}, function_traits::result_type*)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 3.1680000000010295 + }, + { + "op": "Memcpy DtoH (Device -> Pageable)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 1.8240000000005239 + }, + { + "op": "Memcpy HtoD (Pageable -> Device)", + "count": 3, + "self_cpu_us": 0, + "self_device_us": 1.3759999999988395 + }, + { + "op": "Activity Buffer Request", + "count": 1, + "self_cpu_us": 386.249, + "self_device_us": 1.05600000000004 + }, + { + "op": "cudaLaunchKernel", + "count": 1332, + "self_cpu_us": 4088.8819999999887, + "self_device_us": 0 + }, + { + "op": "aten::empty_strided", + "count": 150, + "self_cpu_us": 477.4559999999942, + 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