source
stringclasses
13 values
gpu
stringclasses
4 values
model
stringclasses
13 values
kernel_family
stringclasses
7 values
kernel_name
stringclasses
328 values
dtype
stringclasses
2 values
held_out
bool
2 classes
M
float64
1
16.4k
N
float64
8
248k
K
float64
2.05k
29.6k
bs
float64
1
1
seq
float64
1
16.4k
n_heads
float64
8
64
head_dim
float64
64
256
kv_heads
float64
1
64
numel
float64
64
531M
op_type
stringclasses
177 values
gpu_time_duration_ms
float64
0
703
launch_block_size
float64
16
512
launch_grid_size
float64
1
1.04M
dram_bytes_sum
float64
1.27
94.3B
launch_registers_per_thread
float64
16
255
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
cast
0.0048
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)8, at::native::CUDAFunctor_add<c10::BFloat16>, std::array<char *, (unsigned long)3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
residual
0.00483
128
448
1,840,000
34
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
458,752
cast
0.00605
128
896
950,270
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, void at::native::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
rmsnorm
0.0048
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
reduce
void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::MeanOps<float, float, float, float>, unsigned int, float, (int)4, (int)4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.01728
512
8
1,900,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.00467
128
1
5,630
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.00371
128
1
7,170
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00608
128
1,792
1,850,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
3,584
cast
0.00554
128
7
39,940
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
2,048
residual
0.00387
128
4
19,710
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00605
128
1,792
1,860,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
cast
0.00486
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)8, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase &, at::native::GeluType)::[lambda() (instance 1)]::operator ()() const::[lambda() (instance 4)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
other
0.00621
128
1,792
3,680,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)8, at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>, std::array<char *, (unsigned long)3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00701
128
1,792
7,350,000
40
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
458,752
cast
0.0063
128
896
950,270
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, void at::native::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
rmsnorm
0.00442
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
reduce
void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::MeanOps<float, float, float, float>, unsigned int, float, (int)4, (int)4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.01712
512
8
1,900,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.00371
128
1
5,890
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.0039
128
1
7,420
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00605
128
1,792
1,850,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
3,584
cast
0.00586
128
7
39,940
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
2,048
residual
0.00458
128
4
19,710
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00598
128
1,792
1,860,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
cast
0.00502
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)8, at::native::CUDAFunctor_add<c10::BFloat16>, std::array<char *, (unsigned long)3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
residual
0.00467
128
448
1,840,000
34
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
458,752
cast
0.00618
128
896
950,270
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, void at::native::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
rmsnorm
0.00438
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
reduce
void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::MeanOps<float, float, float, float>, unsigned int, float, (int)4, (int)4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.01725
512
8
1,900,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.00368
128
1
5,890
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.00435
128
1
7,170
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00602
128
1,792
1,850,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
3,584
cast
0.00595
128
7
39,940
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
2,048
residual
0.00384
128
4
19,710
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00608
128
1,792
1,860,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
cast
0.00442
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
mul
0.00672
128
1,024
1,140,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[l...
bf16
false
null
null
null
1
128
null
null
null
458,752
neg
0.00634
128
512
547,330
18
gemma-2-9b-it_prefill
H100
Gemma-9B
copy
void at::native::<unnamed>::CatArrayBatchedCopy<at::native::<unnamed>::OpaqueType<(unsigned int)2>, unsigned int, (int)4, (int)64, (int)64>(T1 *, at::native::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::native::<unnamed>::TensorSizeStride<T2, (unsigned int)4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
917,504
other
0.00861
512
528
1,060,000
25
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
mul
0.00624
128
1,024
1,140,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::CUDAFunctor_add<c10::BFloat16>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
residual
0.00672
128
1,024
2,120,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
mul
0.00627
128
512
616,450
18
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[l...
bf16
false
null
null
null
1
128
null
null
null
131,072
neg
0.00592
128
256
285,180
18
gemma-2-9b-it_prefill
H100
Gemma-9B
copy
void at::native::<unnamed>::CatArrayBatchedCopy<at::native::<unnamed>::OpaqueType<(unsigned int)2>, unsigned int, (int)4, (int)64, (int)64>(T1 *, at::native::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::native::<unnamed>::TensorSizeStride<T2, (unsigned int)4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
917,504
other
0.00739
512
528
531,710
25
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
mul
0.00624
128
512
616,960
18
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::CUDAFunctor_add<c10::BFloat16>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
residual
0.00646
128
512
1,080,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
copy
void at::native::<unnamed>::CatArrayBatchedCopy<at::native::<unnamed>::OpaqueType<(unsigned int)2>, unsigned int, (int)4, (int)64, (int)64>(T1 *, at::native::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::native::<unnamed>::TensorSizeStride<T2, (unsigned int)4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
917,504
other
0.0072
512
528
531,200
25
gemma-2-9b-it_prefill
H100
Gemma-9B
copy
void at::native::<unnamed>::CatArrayBatchedCopy<at::native::<unnamed>::OpaqueType<(unsigned int)2>, unsigned int, (int)4, (int)64, (int)64>(T1 *, at::native::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::native::<unnamed>::TensorSizeStride<T2, (unsigned int)4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
917,504
other
0.00707
512
528
531,460
25
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
458,752
cast
0.00582
128
896
950,020
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, void at::native::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
rmsnorm
0.00432
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
reduce
void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::MeanOps<float, float, float, float>, unsigned int, float, (int)4, (int)4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.01731
512
8
1,900,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.00378
128
1
5,630
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.00461
128
1
7,170
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.0063
128
1,792
1,850,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
3,584
cast
0.00576
128
7
39,940
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
2,048
residual
0.0039
128
4
19,710
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00621
128
1,792
1,860,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
cast
0.00426
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)8, at::native::CUDAFunctor_add<c10::BFloat16>, std::array<char *, (unsigned long)3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
residual
0.00515
128
448
1,840,000
34
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
458,752
cast
0.00608
128
896
950,270
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, void at::native::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
rmsnorm
0.00515
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
reduce
void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::MeanOps<float, float, float, float>, unsigned int, float, (int)4, (int)4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.01696
512
8
1,900,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.00371
128
1
5,890
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.00371
128
1
7,170
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00621
128
1,792
1,850,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
3,584
cast
0.00576
128
7
39,940
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
2,048
residual
0.00483
128
4
19,710
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00618
128
1,792
1,860,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
cast
0.00483
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)8, at::native::GeluCUDAKernelImpl(at::TensorIteratorBase &, at::native::GeluType)::[lambda() (instance 1)]::operator ()() const::[lambda() (instance 4)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
other
0.00643
128
1,792
3,680,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)8, at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>, std::array<char *, (unsigned long)3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.0071
128
1,792
7,350,000
40
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
458,752
cast
0.00573
128
896
950,020
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, void at::native::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
rmsnorm
0.00483
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
reduce
void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::MeanOps<float, float, float, float>, unsigned int, float, (int)4, (int)4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.01709
512
8
1,900,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.0039
128
1
5,890
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.00387
128
1
7,170
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00611
128
1,792
1,850,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
3,584
cast
0.00586
128
7
39,680
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
2,048
residual
0.00387
128
4
19,710
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00618
128
1,792
1,860,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
cast
0.00496
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)8, at::native::CUDAFunctor_add<c10::BFloat16>, std::array<char *, (unsigned long)3>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
residual
0.00426
128
448
1,840,000
34
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
458,752
cast
0.00579
128
896
950,020
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, void at::native::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
rmsnorm
0.0048
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
reduce
void at::native::reduce_kernel<(int)512, (int)1, at::native::ReduceOp<float, at::native::MeanOps<float, float, float, float>, unsigned int, float, (int)4, (int)4>>(T3)
bf16
false
null
null
null
1
128
null
null
null
16,384
rmsnorm
0.01747
512
8
1,900,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
residual
0.00378
128
1
5,890
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
512
rmsnorm
0.00477
128
1
7,170
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00618
128
1,792
1,850,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::unrolled_elementwise_kernel<at::native::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>, (int)4, TrivialOffsetCalculator<(int)1, unsigned int...
bf16
false
null
null
null
1
128
null
null
null
3,584
cast
0.00627
128
7
39,940
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::vectorized_elementwise_kernel<(int)4, at::native::CUDAFunctorOnSelf_add<float>, std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
2,048
residual
0.00394
128
4
19,710
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)2, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<float, float, float, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
917,504
mul
0.00605
128
1,792
1,860,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
cast
void at::native::vectorized_elementwise_kernel<(int)8, at::native::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, (unsigned long)2>>(int, T2, T3)
bf16
false
null
null
null
1
128
null
null
null
229,376
cast
0.00493
128
448
1,840,000
32
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
mul
0.00723
128
1,024
1,140,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[l...
bf16
false
null
null
null
1
128
null
null
null
458,752
neg
0.00608
128
512
547,580
18
gemma-2-9b-it_prefill
H100
Gemma-9B
copy
void at::native::<unnamed>::CatArrayBatchedCopy<at::native::<unnamed>::OpaqueType<(unsigned int)2>, unsigned int, (int)4, (int)64, (int)64>(T1 *, at::native::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::native::<unnamed>::TensorSizeStride<T2, (unsigned int)4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
917,504
other
0.00854
512
528
1,060,000
25
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
mul
0.00621
128
1,024
1,140,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::CUDAFunctor_add<c10::BFloat16>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
residual
0.00675
128
1,024
2,120,000
18
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
mul
0.00656
128
512
616,700
18
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[l...
bf16
false
null
null
null
1
128
null
null
null
131,072
neg
0.00608
128
256
285,180
18
gemma-2-9b-it_prefill
H100
Gemma-9B
copy
void at::native::<unnamed>::CatArrayBatchedCopy<at::native::<unnamed>::OpaqueType<(unsigned int)2>, unsigned int, (int)4, (int)64, (int)64>(T1 *, at::native::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::native::<unnamed>::TensorSizeStride<T2, (unsigned int)4>, int, T2)
bf16
false
null
null
null
1
128
null
null
null
917,504
other
0.00733
512
528
531,460
25
gemma-2-9b-it_prefill
H100
Gemma-9B
elementwise
void at::native::elementwise_kernel<(int)128, (int)4, void at::native::gpu_kernel_impl_nocast<at::native::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, at::native::binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
false
null
null
null
1
128
null
null
null
458,752
mul
0.00614
128
512
616,700
18