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(at_cuda_detail::cub::SelectImpl)0>(thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::counting_iterator, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, long*, int*, at_cuda_detail::cub::ScanTileState, at_cuda_detail::cub::NullType, at_cuda_detail::cub::NullType, int, int, at_cuda_detail::cub::detail::select::streaming_context_t, at_cuda_detail::cub::detail::vsmem_t)", 200 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array, false>(int, at::native::FillFunctor, std::array)", 103 ], [ "triton_poi_fused_add_bitwise_and_clamp_min_eq_full_like_ge_mul_sub_where_0", 101 ], [ "void at::native::(anonymous namespace)::distribution_elementwise_grid_stride_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() 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const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1}>(long, at::PhiloxCudaState, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() 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const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1})", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array, false>(int, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array)", 100 ], [ "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()#1}::operator()() const::{lambda(unsigned char)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", 100 ], [ "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()#11}::operator()() const::{lambda(bool)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", 100 ], [ "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_kernel_impl >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_kernel_impl >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::BinaryFunctor >, std::array, false>(int, at::native::BinaryFunctor >, std::array)", 100 ], [ "void at_cuda_detail::cub::detail::reduce::DeviceReduceSingleTileKernel >::Policy1000, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, int*, unsigned long long, cuda::std::__4::plus, int, int, cuda::std::__4::__identity>(thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, int*, unsigned long long, cuda::std::__4::plus, int, cuda::std::__4::__identity)", 100 ], [ "void at_cuda_detail::cub::detail::reduce::DeviceReduceKernel >::Policy1000, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, unsigned long long, cuda::std::__4::plus, int, cuda::std::__4::__identity>(thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, int*, unsigned long long, at_cuda_detail::cub::GridEvenShare, cuda::std::__4::plus, cuda::std::__4::__identity)", 100 ], [ "void at_cuda_detail::cub::detail::reduce::DeviceReduceSingleTileKernel >::Policy1000, int*, int*, int, cuda::std::__4::plus, int, int, cuda::std::__4::__identity>(int*, int*, int, cuda::std::__4::plus, int, cuda::std::__4::__identity)", 100 ], [ "void 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c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_kernel_impl >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", 32 ], [ "void at::native::vectorized_elementwise_kernel<2, at::native::CUDAFunctor_add, std::array, false>(int, at::native::CUDAFunctor_add, std::array)", 20 ], [ "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})", 16 ], [ "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})", 8 ], [ "void at::native::vectorized_elementwise_kernel<2, at::native::CUDAFunctorOnSelf_add, std::array, false>(int, at::native::CUDAFunctorOnSelf_add, std::array)", 8 ] ], "trace": "/data/digital-drosophila/experiments/phase4c-runtime/profiler/compile-default-10ms-trace.json", "trial_metrics": null }, "compile-reduce-overhead": { "reason": "torch profiler/CUDAGraph output lifetime conflict; compiler performance and graph-break reports retained", "status": "not separately profiled" }, "cudagraph-custom-state": { "cuda_kernel_launches": 609, "cuda_runtime_events": 1279, "duration_ms": 10.0, "kernels_per_step": 6.09, "steps": 100, "top_kernel_launch_counts": [ [ "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array, false>(int, at::native::FillFunctor, std::array)", 104 ], [ "void at::native::(anonymous 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at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1}>(long, at::PhiloxCudaState, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::(anonymous namespace)::distribution_nullary_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1})", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array, false>(int, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array)", 100 ], [ "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()#1}::operator()() const::{lambda(unsigned char)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", 100 ], [ "(anonymous namespace)::force_kernel(float*, int*, unsigned char*, int*, long const*, unsigned char const*, int, float, int)", 100 ], [ "(anonymous namespace)::fanout_kernel(unsigned char const*, long const*, int const*, float const*, float*, int)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array, false>(int, at::native::FillFunctor, std::array)", 2 ], [ "(anonymous namespace)::state_kernel(float*, float*, int*, float*, unsigned char*, int*, int, float, float, float, float, float, int)", 2 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array, false>(int, at::native::FillFunctor, std::array)", 1 ] ], "trace": "/data/digital-drosophila/experiments/phase4c-runtime/profiler/cudagraph-custom-state-10ms-trace.json", "trial_metrics": { "active_neurons": 8, "backend": "cudagraph-custom-state", "biological_realtime_speed": 1.1735718655667582, "cpu_process_utilization_percent_of_one_core": 99.98462619490603, "descending_active_neurons": 0, "descending_spikes": 0, "duration_ms": 10.0, "event_count": 0, "event_sha256": null, "final_g_sha256": "59bc68b376b730245aa0a6187794bf1b8bb5cf893925f731adc6d454c4034d10", "final_voltage_sha256": "6fcb234cad5fb8c919026fb8744cb417110ed1cad7f2943298f154e0cbcae469", "mean_firing_rate_hz": 0.004799040191961607, "motor_active_neurons": 0, "motor_spikes": 0, "peak_vram_bytes": 223039488, "realtime_factor_wall_over_biological": 0.8520995001163101, "resource_sampling": {}, "spike_counts_sha256": "0b63df6856cb1eb2386ceab5e335edbf3ebd10cea87012d8e42b82165cb2d712", "steps": 100, "steps_per_second": 11735.71865566758, "total_spikes": 8, "wall_clock_seconds": 0.0085209950011631 } }, "custom-cuda": { "cuda_kernel_launches": 606, "cuda_runtime_events": 923, "duration_ms": 10.0, "kernels_per_step": 6.06, "steps": 100, "top_kernel_launch_counts": [ [ "void at::native::(anonymous namespace)::distribution_elementwise_grid_stride_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::(anonymous namespace)::distribution_nullary_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1}>(long, at::PhiloxCudaState, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::(anonymous namespace)::distribution_nullary_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1})", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array, false>(int, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array)", 100 ], [ "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()#1}::operator()() const::{lambda(unsigned char)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", 100 ], [ "(anonymous namespace)::state_kernel(float*, float*, int*, float*, unsigned char*, int*, int, float, float, float, float, float, int)", 100 ], [ "(anonymous namespace)::force_kernel(float*, int*, unsigned char*, int*, long const*, unsigned char const*, int, float, int)", 100 ], [ "(anonymous namespace)::fanout_kernel(unsigned char const*, long const*, int const*, float const*, float*, int)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array, false>(int, at::native::FillFunctor, std::array)", 3 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array, false>(int, at::native::FillFunctor, std::array)", 2 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array, false>(int, at::native::FillFunctor, std::array)", 1 ] ], "trace": "/data/digital-drosophila/experiments/phase4c-runtime/profiler/custom-cuda-10ms-trace.json", "trial_metrics": { "active_neurons": 8, "backend": "custom-cuda", "biological_realtime_speed": 2.4314329832463635, "cpu_process_utilization_percent_of_one_core": 99.9569150568377, "descending_active_neurons": 0, "descending_spikes": 0, "duration_ms": 10.0, "event_count": 0, "event_sha256": null, "final_g_sha256": "0bfca525d31620f6c66768a307f7dd31b157d323151f4da1d7b45a6d4498eb82", "final_voltage_sha256": "39705a277ec277659246d5e8fbb5377d58f2f1c8af231baa197569ec0617e500", "mean_firing_rate_hz": 0.004799040191961607, "motor_active_neurons": 0, "motor_spikes": 0, "peak_vram_bytes": 222372352, "realtime_factor_wall_over_biological": 0.4112800997972954, "resource_sampling": {}, "spike_counts_sha256": "0b63df6856cb1eb2386ceab5e335edbf3ebd10cea87012d8e42b82165cb2d712", "steps": 100, "steps_per_second": 24314.329832463634, "total_spikes": 8, "wall_clock_seconds": 0.004112800997972954 } }, "eager": { "cuda_kernel_launches": 5029, "cuda_runtime_events": 13292, "duration_ms": 10.0, "kernels_per_step": 50.29, "steps": 100, "top_kernel_launch_counts": [ [ "void at_cuda_detail::cub::detail::scan::DeviceCompactInitKernel, int*>(at_cuda_detail::cub::ScanTileState, int, int*)", 600 ], [ "void at_cuda_detail::cub::detail::select::DeviceSelectSweepKernel::Policy1000, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::counting_iterator, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, long*, int*, at_cuda_detail::cub::ScanTileState, at_cuda_detail::cub::NullType, at_cuda_detail::cub::NullType, int, at_cuda_detail::cub::detail::select::streaming_context_t, (at_cuda_detail::cub::SelectImpl)0>(thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::counting_iterator, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, long*, int*, at_cuda_detail::cub::ScanTileState, at_cuda_detail::cub::NullType, at_cuda_detail::cub::NullType, int, int, at_cuda_detail::cub::detail::select::streaming_context_t, at_cuda_detail::cub::detail::vsmem_t)", 600 ], [ "void at_cuda_detail::cub::detail::reduce::DeviceReduceKernel >::Policy1000, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, unsigned long long, cuda::std::__4::plus, int, cuda::std::__4::__identity>(thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, int*, unsigned long long, at_cuda_detail::cub::GridEvenShare, cuda::std::__4::plus, cuda::std::__4::__identity)", 500 ], [ "void at_cuda_detail::cub::detail::reduce::DeviceReduceSingleTileKernel >::Policy1000, int*, int*, int, cuda::std::__4::plus, int, int, cuda::std::__4::__identity>(int*, int*, int, cuda::std::__4::plus, int, cuda::std::__4::__identity)", 500 ], [ "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_kernel_impl >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_kernel_impl >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", 308 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array, false>(int, at::native::CUDAFunctor_add, std::array)", 300 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array, false>(int, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array)", 200 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::AUnaryFunctor >, std::array, false>(int, at::native::AUnaryFunctor >, std::array)", 200 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::BinaryFunctor >, std::array, false>(int, at::native::BinaryFunctor >, std::array)", 200 ], [ "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})", 116 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array, false>(int, at::native::FillFunctor, std::array)", 103 ], [ "void at::native::(anonymous namespace)::distribution_elementwise_grid_stride_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::(anonymous namespace)::distribution_nullary_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1}>(long, at::PhiloxCudaState, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::(anonymous namespace)::distribution_nullary_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1})", 100 ], [ "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()#1}::operator()() const::{lambda(unsigned char)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::(anonymous namespace)::launch_clamp_scalar(at::TensorIteratorBase&, c10::Scalar, c10::Scalar, at::native::detail::ClampLimits)::{lambda()#1}::operator()() const::{lambda()#3}::operator()() const::{lambda(int)#1}, std::array, false>(int, at::native::(anonymous namespace)::launch_clamp_scalar(at::TensorIteratorBase&, c10::Scalar, c10::Scalar, at::native::detail::ClampLimits)::{lambda()#1}::operator()() const::{lambda()#3}::operator()() const::{lambda(int)#1}, std::array)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctorOnSelf_add, std::array, false>(int, at::native::CUDAFunctorOnSelf_add, std::array)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::AUnaryFunctor >, std::array, false>(int, at::native::AUnaryFunctor >, std::array)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctorOnSelf_add, std::array, false>(int, at::native::CUDAFunctorOnSelf_add, std::array)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array, false>(int, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array)", 100 ], [ "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, false>(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)", 100 ], [ "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()#11}::operator()() const::{lambda(bool)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", 100 ] ], "trace": "/data/digital-drosophila/experiments/phase4c-runtime/profiler/eager-10ms-trace.json", "trial_metrics": null }, "hybrid-exact": { "cuda_kernel_launches": 5010, "cuda_runtime_events": 13265, "duration_ms": 10.0, "kernels_per_step": 50.1, "steps": 100, "top_kernel_launch_counts": [ [ "void at_cuda_detail::cub::detail::scan::DeviceCompactInitKernel, int*>(at_cuda_detail::cub::ScanTileState, int, int*)", 600 ], [ "void at_cuda_detail::cub::detail::select::DeviceSelectSweepKernel::Policy1000, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::counting_iterator, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, long*, int*, at_cuda_detail::cub::ScanTileState, at_cuda_detail::cub::NullType, at_cuda_detail::cub::NullType, int, at_cuda_detail::cub::detail::select::streaming_context_t, (at_cuda_detail::cub::SelectImpl)0>(thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::counting_iterator, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, long*, int*, at_cuda_detail::cub::ScanTileState, at_cuda_detail::cub::NullType, at_cuda_detail::cub::NullType, int, int, at_cuda_detail::cub::detail::select::streaming_context_t, at_cuda_detail::cub::detail::vsmem_t)", 600 ], [ "void at_cuda_detail::cub::detail::reduce::DeviceReduceKernel >::Policy1000, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, unsigned long long, cuda::std::__4::plus, int, cuda::std::__4::__identity>(thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::transform_iterator, bool const*, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default, thrust::THRUST_300001_SM_750_800_860_900_1000_1200_NS::use_default>, int*, unsigned long long, at_cuda_detail::cub::GridEvenShare, cuda::std::__4::plus, cuda::std::__4::__identity)", 500 ], [ "void at_cuda_detail::cub::detail::reduce::DeviceReduceSingleTileKernel >::Policy1000, int*, int*, int, cuda::std::__4::plus, int, int, cuda::std::__4::__identity>(int*, int*, int, cuda::std::__4::plus, int, cuda::std::__4::__identity)", 500 ], [ "void at::native::index_elementwise_kernel<128, 4, at::native::gpu_index_kernel >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_kernel_impl >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1}>(long, at::native::gpu_index_kernel >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1}>(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef, at::native::index_kernel_impl >(at::TensorIteratorBase&, c10::ArrayRef, c10::ArrayRef)::{lambda(char*, char const*, long)#1} const&, bool)::{lambda(int)#1})", 308 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctor_add, std::array, false>(int, at::native::CUDAFunctor_add, std::array)", 300 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array, false>(int, at::native::compare_scalar_kernel(at::TensorIteratorBase&, at::native::(anonymous namespace)::OpType, float)::{lambda(float)#1}, std::array)", 200 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::AUnaryFunctor >, std::array, false>(int, at::native::AUnaryFunctor >, std::array)", 200 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::BinaryFunctor >, std::array, false>(int, at::native::BinaryFunctor >, std::array)", 200 ], [ "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})", 116 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::FillFunctor, std::array, false>(int, at::native::FillFunctor, std::array)", 103 ], [ "void at::native::(anonymous namespace)::distribution_elementwise_grid_stride_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::(anonymous namespace)::distribution_nullary_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1}>(long, at::PhiloxCudaState, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::(anonymous namespace)::distribution_nullary_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2}, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_and_transform(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1}>(at::TensorIteratorBase&, at::CUDAGeneratorImpl*, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(curandStatePhilox4_32_10*)#2} const&, at::native::templates::cuda::uniform_kernel(at::TensorIteratorBase&, double, double, at::CUDAGeneratorImpl*)::{lambda()#1}::operator()() const::{lambda()#2}::operator()() const::{lambda(float)#1})::{lambda(int, float)#1})", 100 ], [ "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()#1}::operator()() const::{lambda(unsigned char)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::(anonymous namespace)::launch_clamp_scalar(at::TensorIteratorBase&, c10::Scalar, c10::Scalar, at::native::detail::ClampLimits)::{lambda()#1}::operator()() const::{lambda()#3}::operator()() const::{lambda(int)#1}, std::array, false>(int, at::native::(anonymous namespace)::launch_clamp_scalar(at::TensorIteratorBase&, c10::Scalar, c10::Scalar, at::native::detail::ClampLimits)::{lambda()#1}::operator()() const::{lambda()#3}::operator()() const::{lambda(int)#1}, std::array)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctorOnSelf_add, std::array, false>(int, at::native::CUDAFunctorOnSelf_add, std::array)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::AUnaryFunctor >, std::array, false>(int, at::native::AUnaryFunctor >, std::array)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::CUDAFunctorOnSelf_add, std::array, false>(int, at::native::CUDAFunctorOnSelf_add, std::array)", 100 ], [ "void at::native::vectorized_elementwise_kernel<4, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array, false>(int, at::native::bitwise_not_kernel_cuda(at::TensorIteratorBase&)::{lambda(bool)#1}, std::array)", 100 ], [ "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, false>(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)", 100 ], [ "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()#11}::operator()() const::{lambda(bool)#1}, std::array, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned int>, at::native::memory::LoadWithCast<1>, at::native::memory::StoreWithCast<1>)", 100 ] ], "trace": "/data/digital-drosophila/experiments/phase4c-runtime/profiler/hybrid-exact-10ms-trace.json", "trial_metrics": null } }, "reference": { "code": { "config.yaml": { "path": "/data/digital-drosophila/models/male-cns-lif/reference-v1/config.yaml", "sha256": "3c8651a903302845020917e8c7fee5caa39b6d2bef167a8a448c1a7560689414" }, "model.py": { "path": "/data/digital-drosophila/models/male-cns-lif/reference-v1/model.py", "sha256": "693468685a7ff3db1d09a088e0bbdaa78c595d64086b27e9cc18abceb4c7d174" } }, "description": "Shiu-like LIF dynamics adapted to MaleCNS v1.0", "graph": { "directed_edges": 25582938, "isolated_neurons": 217, "neurons": 166700, "self_loops": 101, "synaptic_contact_weight_sum": 124177617 }, "inputs": { "csr_metadata": { "path": "/data/digital-drosophila/datasets/male-cns-v1.0/processed/neuron-only/gpu/csr-metadata.json", "sha256": "3786a0c79fc25bdc4d11f67d4de1f9f6a88da750431e96508bf72bbfa42bb6f8" }, "indices": { "path": "/data/digital-drosophila/datasets/male-cns-v1.0/processed/neuron-only/gpu/csr-indices.int32.npy", "sha256": "ce20f7433f78442c717ad2a7b5394cf4a3b109d990b4be0788040b7b0f4ed150" }, "indptr": { "path": "/data/digital-drosophila/datasets/male-cns-v1.0/processed/neuron-only/gpu/csr-indptr.int64.npy", "sha256": "fe43420f11e6242a11f8199ae7f097cab4b8a6db181d36f2a46b9e46670acbb4" }, "mapping": { "path": "/data/digital-drosophila/datasets/male-cns-v1.0/processed/neuron-only/neuron-index/body-id-neuron-idx.parquet", "sha256": "2b615c00d290e34fbe7792a5050eee4ce086446cd54ec89c96d7b1bc4a8e6009" }, "metadata": { "path": "/data/digital-drosophila/datasets/male-cns-v1.0/processed/neuron-only/neuron-index/unified-metadata.parquet", "sha256": "922af16846a065c3dbfca7c11146b83ca217fcbd7392edc745f444a04eae8c63" }, "raw_weights": { "path": "/data/digital-drosophila/datasets/male-cns-v1.0/processed/neuron-only/gpu/csr-weights.int64.npy", "sha256": "c7ae101451dd19c47fd976bcfacbc52d67193a68ffa04c5b4d2e911cfd52d99b" } }, "local_repository_commit": "d826733f1c620a2ad0b096c846b9b8e9eb3ac0fa", "name": "MaleCNS-LIF-reference-v1", "not_claimed": "strict Shiu 2024 original-model reproduction", "parameters": { "dt_ms": 0.1, "integration": "forward_euler", "membrane_tau_ms": 20.0, "refractory_g_policy": "g continues to decay and receive exact delayed events while v is clamped at V_reset", "refractory_ms": 2.2, "reset_potential_mv": -52.0, "resting_potential_mv": -52.0, "synaptic_delay_ms": 1.8, "synaptic_tau_ms": 5.0, "threshold_mv": -45.0, "w_syn_mv_per_anatomical_synapse": 0.275 }, "phase4b_checksum_verification": "PASS", "phase4b_checksums_sha256": "8f09b27d60fdde213d4038176169127bbca16d4da5bbc85d3bf1ea1755a9de76", "phase4b_manifest_sha256": "d930b92524d494937e11bd2dbfe50ac31d924daf8140d80ccd17fb2ad2d0b09a", "reason": "MaleCNS v1.0 transmitter inventory includes histamine and differs from the original dataset/inventory", "remote_model_directory_is_git_repository": false, "sign_policy": { "neurotransmitter_sign": { "acetylcholine": 1, "dopamine": 1, "gaba": -1, "glutamate": -1, "histamine": -1, "octopamine": 1, "serotonin": 1 }, "unclear_sign": 0, "unknown_sign": 0, "unmapped_policy": "error" }, "source_phase": "Phase 4B PASS" }, "reference_frozen": true, "regression": { "auditory-100hz": { "custom-cuda": { "candidate_event_sha256": "bf9472dfef89cd7c68f3d02d3098e988e094bcce1a75286461f38b61efdc948d", "eligible_for_runtime_v1": true, "final_g_max_abs_error": 0.001953125, "final_g_mean_abs_error": 2.3577847230171756e-07, "final_voltage_max_abs_error": 9.1552734375e-05, "final_voltage_mean_abs_error": 4.0572633253077584e-08, "per_neuron_spike_counts_exact": true, "propagation_statistics_exact": true, "reference_event_sha256": "bf9472dfef89cd7c68f3d02d3098e988e094bcce1a75286461f38b61efdc948d", "spike_events_exact": true, "state_within_tolerance": false }, "hybrid-exact": { "candidate_event_sha256": "bf9472dfef89cd7c68f3d02d3098e988e094bcce1a75286461f38b61efdc948d", "eligible_for_runtime_v1": true, "final_g_max_abs_error": 0.0009765625, "final_g_mean_abs_error": 5.601728148008078e-08, "final_voltage_max_abs_error": 4.57763671875e-05, "final_voltage_mean_abs_error": 6.476060576687814e-09, "per_neuron_spike_counts_exact": true, "propagation_statistics_exact": true, "reference_event_sha256": "bf9472dfef89cd7c68f3d02d3098e988e094bcce1a75286461f38b61efdc948d", "spike_events_exact": true, "state_within_tolerance": false } }, "auditory-10hz": { "custom-cuda": { "candidate_event_sha256": "5a2cfbe9168122bd153855efe645b65340437765a851a54ed5ee817da59630af", "eligible_for_runtime_v1": true, "final_g_max_abs_error": 0.00390625, "final_g_mean_abs_error": 2.360452100447219e-07, "final_voltage_max_abs_error": 6.103515625e-05, "final_voltage_mean_abs_error": 4.073282156014102e-08, "per_neuron_spike_counts_exact": true, "propagation_statistics_exact": true, "reference_event_sha256": "5a2cfbe9168122bd153855efe645b65340437765a851a54ed5ee817da59630af", "spike_events_exact": true, "state_within_tolerance": false }, "hybrid-exact": { "candidate_event_sha256": "5a2cfbe9168122bd153855efe645b65340437765a851a54ed5ee817da59630af", "eligible_for_runtime_v1": true, "final_g_max_abs_error": 0.000244140625, "final_g_mean_abs_error": 3.382269753160472e-08, "final_voltage_max_abs_error": 3.0517578125e-05, "final_voltage_mean_abs_error": 5.308996797737109e-09, "per_neuron_spike_counts_exact": true, "propagation_statistics_exact": true, "reference_event_sha256": "5a2cfbe9168122bd153855efe645b65340437765a851a54ed5ee817da59630af", "spike_events_exact": true, "state_within_tolerance": false } }, "gustatory-50hz": { "custom-cuda": { "candidate_event_sha256": "33f95e37e27a8ef6de8368948d388a1ed9e03f29ff331c266025646889f88c48", "eligible_for_runtime_v1": false, "final_g_max_abs_error": 0.00390625, "final_g_mean_abs_error": 2.401351650860306e-07, "final_voltage_max_abs_error": 6.103515625e-05, "final_voltage_mean_abs_error": 3.691125627369729e-08, "per_neuron_spike_counts_exact": true, "propagation_statistics_exact": true, "reference_event_sha256": "169bd42735d5357300546c37f826b6e5e216f43136c16262364bd6a991e66d53", "spike_events_exact": false, "state_within_tolerance": false }, "hybrid-exact": { "candidate_event_sha256": "169bd42735d5357300546c37f826b6e5e216f43136c16262364bd6a991e66d53", "eligible_for_runtime_v1": true, "final_g_max_abs_error": 0.00390625, "final_g_mean_abs_error": 8.467309697834935e-08, "final_voltage_max_abs_error": 6.103515625e-05, "final_voltage_mean_abs_error": 6.498944493671388e-09, "per_neuron_spike_counts_exact": true, "propagation_statistics_exact": true, "reference_event_sha256": "169bd42735d5357300546c37f826b6e5e216f43136c16262364bd6a991e66d53", "spike_events_exact": true, "state_within_tolerance": false } }, "mechanosensory-50hz": { "custom-cuda": { "candidate_event_sha256": "6e6e7bb80bedace02bc60790838f5d535854ddd8567b62e421a193f94818eae5", "eligible_for_runtime_v1": false, "final_g_max_abs_error": 604.771240234375, "final_g_mean_abs_error": 3.3535778522491455, "final_voltage_max_abs_error": 351.72637939453125, "final_voltage_mean_abs_error": 1.0685756206512451, "per_neuron_spike_counts_exact": false, "propagation_statistics_exact": false, "reference_event_sha256": "0cd6399bb437771a0901575674450fae32cd296df710f0a7ec0da26804176999", "spike_events_exact": false, "state_within_tolerance": false }, "hybrid-exact": { "candidate_event_sha256": "0cd6399bb437771a0901575674450fae32cd296df710f0a7ec0da26804176999", "eligible_for_runtime_v1": true, "final_g_max_abs_error": 0.00048828125, "final_g_mean_abs_error": 4.223790739388278e-08, "final_voltage_max_abs_error": 6.103515625e-05, "final_voltage_mean_abs_error": 9.290744173995336e-09, "per_neuron_spike_counts_exact": true, "propagation_statistics_exact": true, "reference_event_sha256": "0cd6399bb437771a0901575674450fae32cd296df710f0a7ec0da26804176999", "spike_events_exact": true, "state_within_tolerance": false } }, "olfactory-50hz": { "custom-cuda": { "candidate_event_sha256": "0a96a16ab0f4ea559238206e3feab22954bb090ad4e791f47a4ca530a23a460d", "eligible_for_runtime_v1": true, "final_g_max_abs_error": 0.00390625, "final_g_mean_abs_error": 2.6316607204535103e-07, "final_voltage_max_abs_error": 6.103515625e-05, "final_voltage_mean_abs_error": 3.892501609925603e-08, "per_neuron_spike_counts_exact": true, "propagation_statistics_exact": true, "reference_event_sha256": "0a96a16ab0f4ea559238206e3feab22954bb090ad4e791f47a4ca530a23a460d", "spike_events_exact": true, "state_within_tolerance": false }, "hybrid-exact": { "candidate_event_sha256": "0a96a16ab0f4ea559238206e3feab22954bb090ad4e791f47a4ca530a23a460d", "eligible_for_runtime_v1": true, "final_g_max_abs_error": 0.00048828125, "final_g_mean_abs_error": 5.61670994159158e-08, "final_voltage_max_abs_error": 6.103515625e-05, "final_voltage_mean_abs_error": 7.231219623093921e-09, "per_neuron_spike_counts_exact": true, "propagation_statistics_exact": true, "reference_event_sha256": "0a96a16ab0f4ea559238206e3feab22954bb090ad4e791f47a4ca530a23a460d", "spike_events_exact": true, "state_within_tolerance": false } } }, "runtime_v1_backend": "hybrid-exact", "status": "PASS", "visual_audit": { "all_histaminergic": true, "all_ol_sensory": true, "anatomical_membership_counts": { "lamina": 14929, "lobula": 1655, "lobula_plate": 14340, "medulla": 50994, "optic_lobe_interneurons": 89403, "optic_lobe_interneurons_unassigned_to_named_region": 7485, "photoreceptor": 6091, "retinal_sensory": 6091, "visual_projection_neurons": 9203 }, "anatomical_rule_provenance": { "named_optic_regions": "explicit annotation_type prefix/set rules, preserved in this audit; no body_id was guessed", "optic_lobe_interneurons": "annotation_superclass=ol_intrinsic", "photoreceptor_retinal_sensory": "annotation_class=visual AND annotation_superclass=ol_sensory; observed types recorded verbatim", "visual_projection_neurons": "annotation_superclass in {visual_projection, visual_projection_tbc}" }, "conclusion": "The 6091 annotation_class=visual bodies are photoreceptor/retinal sensory input neurons, not the whole visual processing network.", "edge_statistics_file": "/data/digital-drosophila/experiments/phase4c-runtime/visual-audit/hierarchy-edge-statistics.json", "field_breakdown": { "annotation_class": { "visual": 6091 }, "annotation_instance": { "R1-R6_L": 1112, "R1-R6_R": 2265, "R7R8_unclear_R": 85, "R7_unclear_L": 165, "R7_unclear_R": 239, "R7d_L": 40, "R7d_R": 42, "R7p_L": 173, "R7p_R": 159, "R7y_L": 230, "R7y_R": 252, "R8_unclear_L": 188, "R8_unclear_R": 254, "R8d_L": 35, "R8d_R": 41, "R8p_L": 172, "R8p_R": 158, "R8y_L": 230, "R8y_R": 251 }, "annotation_subclass": { "": 6091 }, "annotation_superclass": { "ol_sensory": 6091 }, "annotation_type": { "R1-R6": 3377, "R7R8_unclear": 85, "R7_unclear": 404, "R7d": 82, "R7p": 332, "R7y": 482, "R8_unclear": 442, "R8d": 76, "R8p": 330, "R8y": 481 }, "neurotransmitter": { "histamine": 6091 }, "side": { "": 6062, "L": 19, "R": 10 } }, "hierarchy_counts": { "central_brain": 50717, "first_order": 23707, "higher_visual": 4407, "second_order": 81483, "visual_sensory": 6091 }, "hierarchy_definition": "exclusive shortest directed connectome distance from the 6091 sensory neurons: depth 0 sensory, depth 1 first-order, depth 2 second-order, depth >=3 split into optic/visual-superclass higher_visual versus non-optic downstream central_brain; unreachable bodies are excluded", "phase4b_visual_count": 6091, "raw_visual_types": [ "R1-R6", "R7R8_unclear", "R7_unclear", "R7d", "R7p", "R7y", "R8_unclear", "R8d", "R8p", "R8y" ] }, "visual_dynamics": { "A-forced-histaminergic-sensory": { "active_neurons": 6047, "backend": "eager", "baseline_status": "semantic test; no automatic selection", "biological_interpretation": "histamine remains inhibitory; forced sensory spikes are an engineering interface, not phototransduction/receptor-potential biology", "biological_realtime_speed": 0.09380145352696229, "cpu_process_utilization_percent_of_one_core": 99.97323506854931, "descending_active_neurons": 0, "descending_spikes": 0, "downstream_active_neurons": 0, "duration_ms": 100.0, "event_count": 0, "event_sha256": null, "final_g_sha256": "ccb1075e15a9ec113bda8b37adcbcfdafb587b9205aa6acea661211bb486bb83", "final_voltage_sha256": "b0fa959c4ff093a76dc08d608d56b4a3db87181438c5826d8af520c6423c0dc7", "interpretation": "engineering forcing of sensory output spikes", "mean_firing_rate_hz": 1.6547690461907618, "motor_active_neurons": 0, "motor_spikes": 0, "peak_vram_bytes": 241825792, "propagation_depth": 0, "realtime_factor_wall_over_biological": 10.660815609990095, "resource_sampling": {}, "spike_counts_sha256": "9545e70cb32b371a2c6616ecb9960ab4b48021d995c9d7e7436a20cd379b8231", "steps": 1000, "steps_per_second": 938.0145352696228, "stimulated_population_size": 6091, "test": "A-forced-histaminergic-sensory", "total_spikes": 27585, "wall_clock_seconds": 1.0660815609990095 }, "B-tonic-histamine-rate-modulation": { "active_neurons": 5755, "backend": "eager", "baseline_status": "exploratory only", "biological_interpretation": "histamine remains inhibitory; forced sensory spikes are an engineering interface, not phototransduction/receptor-potential biology", "biological_realtime_speed": 0.11223388152832407, "cpu_process_utilization_percent_of_one_core": 99.98098522383005, "descending_active_neurons": 0, "descending_spikes": 0, 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selection", "biological_interpretation": "histamine remains inhibitory; forced sensory spikes are an engineering interface, not phototransduction/receptor-potential biology", "biological_realtime_speed": 0.1108122099496591, "cpu_process_utilization_percent_of_one_core": 100.01392233517936, "descending_active_neurons": 160, "descending_spikes": 509, "downstream_active_neurons": 8017, "duration_ms": 100.0, "event_count": 0, "event_sha256": null, "final_g_sha256": "85415c5746fe1aab645e4f510266e92966ca42df847d5574655bd4d79ae217c5", "final_voltage_sha256": "3262a658a2478c0514d905f637159698ca52c0c033155fc1a797b460d4de03c1", "interpretation": "engineering input interface moved to real first-order targets", "mean_firing_rate_hz": 8.956628674265147, "motor_active_neurons": 129, "motor_spikes": 350, "peak_vram_bytes": 259656704, "propagation_depth": 2, "realtime_factor_wall_over_biological": 9.024276300006022, "resource_sampling": {}, "spike_counts_sha256": "383c61f0a7f0de11563a3585355063fed5d754ca62310b0d84454ec31590b6e0", "steps": 1000, "steps_per_second": 1108.1220994965909, "stimulated_population_size": 23707, "test": "C-first-order-external-input", "total_spikes": 149307, "wall_clock_seconds": 0.9024276300006022 }, "C-second-order-external-input": { "active_neurons": 97470, "backend": "eager", "baseline_status": "semantic test; no automatic selection", "biological_interpretation": "histamine remains inhibitory; forced sensory spikes are an engineering interface, not phototransduction/receptor-potential biology", "biological_realtime_speed": 0.11122902586664521, "cpu_process_utilization_percent_of_one_core": 100.00260064594212, "descending_active_neurons": 818, "descending_spikes": 6589, "downstream_active_neurons": 16446, "duration_ms": 100.0, "event_count": 0, "event_sha256": null, "final_g_sha256": "ddad763886abdc3de7935df7870357d7e1207141c1253e1d90f81a65f80cdaf2", "final_voltage_sha256": "24da871d40b5e9d3365a9e368a0a7a6911e80db9c1918bac20bacd4dfa0abcba", "interpretation": "engineering input interface moved to real second-order targets", "mean_firing_rate_hz": 38.71775644871026, "motor_active_neurons": 386, "motor_spikes": 4073, "peak_vram_bytes": 326726144, "propagation_depth": 2, "realtime_factor_wall_over_biological": 8.990459029992053, "resource_sampling": {}, "spike_counts_sha256": "8b3c251a40dcd12c4449d95e1d363ac2b357e327306d2459f304b2d106ae5834", "steps": 1000, "steps_per_second": 1112.290258666452, "stimulated_population_size": 81483, "test": "C-second-order-external-input", "total_spikes": 645425, "wall_clock_seconds": 0.8990459029992053 }, "D-layer-central_brain": { "active_neurons": 37577, "backend": "eager", "baseline_status": "semantic test; no automatic selection", "biological_interpretation": "histamine remains inhibitory; forced sensory spikes are an engineering interface, not phototransduction/receptor-potential biology", "biological_realtime_speed": 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0.8986770369992882 }, "D-layer-first_order": { "active_neurons": 35163, "backend": "eager", "baseline_status": "semantic test; no automatic selection", "biological_interpretation": "histamine remains inhibitory; forced sensory spikes are an engineering interface, not phototransduction/receptor-potential biology", "biological_realtime_speed": 0.11122200464001968, "cpu_process_utilization_percent_of_one_core": 99.99547927032961, "descending_active_neurons": 263, "descending_spikes": 977, "downstream_active_neurons": 11607, "duration_ms": 100.0, "event_count": 0, "event_sha256": null, "final_g_sha256": "e78d00a4c54398c661326cedede07ace91fb2629e725ef7b59ca1cb549fb25f9", "final_voltage_sha256": "285c6e0f183ef43e603e4eaff6be8c19063c3504f12e573e3d61927ce9be19e9", "interpretation": "engineering external input at hierarchy layer first_order", "mean_firing_rate_hz": 9.82141571685663, "motor_active_neurons": 270, "motor_spikes": 1003, "peak_vram_bytes": 259666944, "propagation_depth": 2, 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"4debc0eed92a8a95a1559aa69bcf38cd07feb8aa6eee253507ef75942782d29e", "final_voltage_sha256": "c86f4f66a3008090d4d010a9d0997dec64549032916f1029bfbef0bcd38fc4ef", "interpretation": "engineering external input at hierarchy layer higher_visual", "mean_firing_rate_hz": 6.957288542291542, "motor_active_neurons": 271, "motor_spikes": 1637, "peak_vram_bytes": 241938944, "propagation_depth": 3, "realtime_factor_wall_over_biological": 8.970291270015878, "resource_sampling": {}, "spike_counts_sha256": "4fbefa38ad67ee4f9a40fbda350262d78a0270848cc463729119d4b0b9b59aa4", "steps": 1000, "steps_per_second": 1114.7910027655435, "stimulated_population_size": 4407, "test": "D-layer-higher_visual", "total_spikes": 115978, "wall_clock_seconds": 0.8970291270015878 }, "D-layer-second_order": { "active_neurons": 44118, "backend": "eager", "baseline_status": "semantic test; no automatic selection", "biological_interpretation": "histamine remains inhibitory; forced sensory spikes are an engineering interface, not phototransduction/receptor-potential biology", "biological_realtime_speed": 0.1109813688348964, "cpu_process_utilization_percent_of_one_core": 100.01566235645227, "descending_active_neurons": 480, "descending_spikes": 3341, "downstream_active_neurons": 19243, "duration_ms": 100.0, "event_count": 0, "event_sha256": null, "final_g_sha256": "f6faf5723224f232b41635ca430a4561f05220a498b722e36ecc70331c06c4bd", "final_voltage_sha256": "01d72182879557796c359708fefe1a2c55d094ee93a892504bb52f7836bce4b1", "interpretation": "engineering external input at hierarchy layer second_order", "mean_firing_rate_hz": 20.529814037192562, "motor_active_neurons": 303, "motor_spikes": 2570, "peak_vram_bytes": 265969152, "propagation_depth": 2, "realtime_factor_wall_over_biological": 9.010521410018555, "resource_sampling": {}, "spike_counts_sha256": "f77e5f33f63f71bffbd1bc857816bde61fba2dde3f964c54e794ec68fb1ee175", "steps": 1000, "steps_per_second": 1109.813688348964, "stimulated_population_size": 25000, "test": "D-layer-second_order", "total_spikes": 342232, "wall_clock_seconds": 0.9010521410018555 }, "D-layer-visual_sensory": { "active_neurons": 6054, "backend": "eager", "baseline_status": "semantic test; no automatic selection", "biological_interpretation": "histamine remains inhibitory; forced sensory spikes are an engineering interface, not phototransduction/receptor-potential biology", "biological_realtime_speed": 0.11150931720201608, "cpu_process_utilization_percent_of_one_core": 99.95717083267715, "descending_active_neurons": 0, "descending_spikes": 0, "downstream_active_neurons": 0, "duration_ms": 100.0, "event_count": 0, "event_sha256": null, "final_g_sha256": "f44ea8b33336f07deaa0383936d8ffd6ac5e2bf9995ae8799aefa338c9e4f987", "final_voltage_sha256": "43a7df60c7932b27646573ef34e7e85b6e14aafff6c748d296158f5dad199a48", "interpretation": "engineering external input at hierarchy layer visual_sensory", "mean_firing_rate_hz": 1.6530293941211758, "motor_active_neurons": 0, 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