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
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctorOnSelf_add<float>, std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
residual
0.00323
128
1
5,250
30
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
rmsnorm
0.00362
128
1
6,780
22
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 2, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<float, float, float, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
2,097,152
mul
0.0104
128
4,096
4,210,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
cast
void at::vectorized_elementwise_kernel<4, at::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
cast
0.00714
128
1,024
4,200,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
mul
0.01117
128
2,048
2,130,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
mul
0.01181
128
2,048
2,150,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
neg
0.00784
128
1,024
1,070,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
other
0.01805
512
432
2,100,000
23
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
mul
0.01104
128
2,048
2,150,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::CUDAFunctor_add<c10::BFloat16>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
residual
0.01219
128
2,048
4,210,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
131,072
mul
0.00723
128
256
314,620
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
65,536
neg
0.00688
128
128
148,860
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
other
0.00979
512
432
269,060
23
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
131,072
mul
0.00723
128
256
314,620
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::CUDAFunctor_add<c10::BFloat16>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
131,072
residual
0.00752
128
256
544,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
other
0.0087
512
432
269,180
23
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
other
0.00858
512
432
269,180
23
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctor_add<c10::BFloat16>, std::array<char *, 3>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
residual
0.0072
128
1,024
4,200,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
cast
void at::unrolled_elementwise_kernel<at::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned in...
bf16
true
null
null
null
1
128
null
null
null
1,048,576
cast
0.01277
128
2,048
2,130,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, void at::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
rmsnorm
0.00803
128
1,024
4,200,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
reduce
void at::reduce_kernel<512, 1, at::ReduceOp<float, at::MeanOps<float, float, float, float>, unsigned int, float, 4, 4>>(T3)
bf16
true
null
null
null
1
128
null
null
null
262,144
rmsnorm
0.01018
512
128
4,250,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctorOnSelf_add<float>, std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
residual
0.00339
128
1
5,250
30
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
rmsnorm
0.00358
128
1
6,780
22
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 2, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<float, float, float, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
2,097,152
mul
0.0105
128
4,096
4,210,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
cast
void at::vectorized_elementwise_kernel<4, at::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
cast
0.00714
128
1,024
4,200,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
mul
0.01123
128
2,048
2,130,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::<unnamed>::silu_kernel(at::TensorIteratorBase &)::[lambda() (instance 1)]::operator ()() const::[lambda() (instance 6)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
2,097,152
silu
0.01446
128
3,696
7,580,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>, std::array<char *, 3>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
2,097,152
mul
0.01434
128
3,696
15,150,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctor_add<c10::BFloat16>, std::array<char *, 3>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
residual
0.00733
128
1,024
4,200,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
cast
void at::unrolled_elementwise_kernel<at::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned in...
bf16
true
null
null
null
1
128
null
null
null
1,048,576
cast
0.0129
128
2,048
2,130,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, void at::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
rmsnorm
0.00797
128
1,024
4,200,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
reduce
void at::reduce_kernel<512, 1, at::ReduceOp<float, at::MeanOps<float, float, float, float>, unsigned int, float, 4, 4>>(T3)
bf16
true
null
null
null
1
128
null
null
null
262,144
rmsnorm
0.01034
512
128
4,250,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctorOnSelf_add<float>, std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
residual
0.00323
128
1
5,250
30
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
rmsnorm
0.00358
128
1
6,780
22
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 2, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<float, float, float, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
2,097,152
mul
0.01034
128
4,096
4,210,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
cast
void at::vectorized_elementwise_kernel<4, at::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
cast
0.00717
128
1,024
4,200,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
mul
0.01123
128
2,048
2,130,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
mul
0.01187
128
2,048
2,150,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
neg
0.0079
128
1,024
1,070,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
other
0.01798
512
432
2,100,000
23
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
mul
0.01104
128
2,048
2,150,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::CUDAFunctor_add<c10::BFloat16>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
residual
0.0121
128
2,048
4,210,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
131,072
mul
0.00739
128
256
314,750
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::neg_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 9)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)]>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
65,536
neg
0.00698
128
128
148,860
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
other
0.0097
512
432
269,060
23
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
131,072
mul
0.00717
128
256
314,620
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::CUDAFunctor_add<c10::BFloat16>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
131,072
residual
0.00739
128
256
544,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
other
0.00864
512
432
269,180
23
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
copy
void at::<unnamed>::CatArrayBatchedCopy<at::<unnamed>::OpaqueType<2>, unsigned int, 4, 64, 64>(T1 *, at::<unnamed>::CatArrInputTensorMetadata<T1, T2, T4, T5>, at::<unnamed>::TensorSizeStride<T2, 4>, int, T2)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
other
0.00858
512
432
274,820
23
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctor_add<c10::BFloat16>, std::array<char *, 3>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
residual
0.00726
128
1,024
4,200,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
cast
void at::unrolled_elementwise_kernel<at::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned in...
bf16
true
null
null
null
1
128
null
null
null
1,048,576
cast
0.01258
128
2,048
2,130,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, void at::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
rmsnorm
0.00806
128
1,024
4,200,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
reduce
void at::reduce_kernel<512, 1, at::ReduceOp<float, at::MeanOps<float, float, float, float>, unsigned int, float, 4, 4>>(T3)
bf16
true
null
null
null
1
128
null
null
null
262,144
rmsnorm
0.01021
512
128
4,250,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctorOnSelf_add<float>, std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
residual
0.00317
128
1
5,250
30
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
rmsnorm
0.00358
128
1
6,780
22
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 2, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<float, float, float, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
2,097,152
mul
0.0104
128
4,096
4,210,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
cast
void at::vectorized_elementwise_kernel<4, at::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
cast
0.00714
128
1,024
4,200,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
mul
0.01098
128
2,048
2,130,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::<unnamed>::silu_kernel(at::TensorIteratorBase &)::[lambda() (instance 1)]::operator ()() const::[lambda() (instance 6)]::operator ()() const::[lambda(c10::BFloat16) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
2,097,152
silu
0.01427
128
3,696
7,580,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>, std::array<char *, 3>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
2,097,152
mul
0.01443
128
3,696
15,150,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctor_add<c10::BFloat16>, std::array<char *, 3>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
residual
0.00726
128
1,024
4,200,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
cast
void at::unrolled_elementwise_kernel<at::direct_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 3)]::operator ()() const::[lambda() (instance 7)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>, 4, TrivialOffsetCalculator<1, unsigned int>, TrivialOffsetCalculator<1, unsigned in...
bf16
true
null
null
null
1
128
null
null
null
1,048,576
cast
0.0128
128
2,048
2,130,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, void at::<unnamed>::pow_tensor_scalar_kernel_impl<float, float>(at::TensorIteratorBase &, T2)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
rmsnorm
0.00778
128
1,024
4,200,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
reduce
void at::reduce_kernel<512, 1, at::ReduceOp<float, at::MeanOps<float, float, float, float>, unsigned int, float, 4, 4>>(T3)
bf16
true
null
null
null
1
128
null
null
null
262,144
rmsnorm
0.01053
512
128
4,250,000
32
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::CUDAFunctorOnSelf_add<float>, std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
residual
0.0031
128
1
5,250
30
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::vectorized_elementwise_kernel<4, at::rsqrt_kernel_cuda(at::TensorIteratorBase &)::[lambda() (instance 2)]::operator ()() const::[lambda() (instance 2)]::operator ()() const::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
512
rmsnorm
0.0033
128
1
6,780
22
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 2, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<float, float, float, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
2,097,152
mul
0.0104
128
4,096
4,210,000
16
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
cast
void at::vectorized_elementwise_kernel<4, at::bfloat16_copy_kernel_cuda(at::TensorIteratorBase &)::[lambda(float) (instance 1)], std::array<char *, 2>>(int, T2, T3)
bf16
true
null
null
null
1
128
null
null
null
524,288
cast
0.00707
128
1,024
4,200,000
28
Qwen2.5-72B-Instruct_prefill
A100
Qwen-72B
elementwise
void at::elementwise_kernel<128, 4, void at::gpu_kernel_impl_nocast<at::BinaryFunctor<c10::BFloat16, c10::BFloat16, c10::BFloat16, binary_internal::MulFunctor<float>>>(at::TensorIteratorBase &, const T1 &)::[lambda(int) (instance 1)]>(int, T3)
bf16
true
null
null
null
1
128
null
null
null
1,048,576
mul
0.01117
128
2,048
2,130,000
16
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void magma_sgemmEx_kernel<float, float, float, 0, 0, 6, 3, 5, 3, 3>(int, int, int, Tensor, int, Tensor, int, Tensor, int, Tensor, int, int, int, const T1 *, const T1 *, T1, T1, int, cublasLtEpilogue_t, int, const void *, long)
bf16
false
128
5,112
5,120
1
128
null
null
null
null
q_proj
0.0065
64
6
30,590
80
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_bf16_s16816gemm_bf16_128x128_ldg8_f2f_stages_64x3_tn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.0999
128
80
106,190,000
246
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_bf16_s16816gemm_bf16_128x128_ldg8_f2f_stages_64x3_tn
bf16
false
128
852
5,120
1
128
null
null
null
null
v_proj
0.06717
128
96
64,250,000
246
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void cutlass::Kernel2<cutlass_80_tensorop_s16816gemm_bf16_64x64_64x6_tn_align8>(T1::Params)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.00803
128
54
1,820,000
91
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void cutlass::Kernel2<cutlass_80_tensorop_s16816gemm_bf16_64x64_64x6_tn_align8>(T1::Params)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.00829
128
54
1,820,000
91
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_tn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.04
256
96
6,310,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void magma_sgemmEx_kernel<float, float, float, 0, 0, 6, 3, 5, 3, 3>(int, int, int, Tensor, int, Tensor, int, Tensor, int, Tensor, int, int, int, const T1 *, const T1 *, T1, T1, int, cublasLtEpilogue_t, int, const void *, long)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.02195
64
384
4,750,000
80
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void magma_sgemmEx_kernel<float, float, float, 0, 0, 6, 3, 5, 3, 3>(int, int, int, Tensor, int, Tensor, int, Tensor, int, Tensor, int, int, int, const T1 *, const T1 *, T1, T1, int, cublasLtEpilogue_t, int, const void *, long)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.02243
64
384
4,750,000
80
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_tn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.03942
256
48
3,170,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_nn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.03936
256
48
4,740,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_nn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.03936
256
48
4,740,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void magma_sgemmEx_kernel<float, float, float, 0, 0, 6, 3, 5, 3, 3>(int, int, int, Tensor, int, Tensor, int, Tensor, int, Tensor, int, int, int, const T1 *, const T1 *, T1, T1, int, cublasLtEpilogue_t, int, const void *, long)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.01962
64
192
2,390,000
80
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_nt
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.02432
256
48
3,170,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_tn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.03942
256
48
3,170,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_nn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.03939
256
48
4,740,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_nn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.03946
256
48
4,740,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void magma_sgemmEx_kernel<float, float, float, 0, 0, 6, 3, 5, 3, 3>(int, int, int, Tensor, int, Tensor, int, Tensor, int, Tensor, int, int, int, const T1 *, const T1 *, T1, T1, int, cublasLtEpilogue_t, int, const void *, long)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.01942
64
192
2,390,000
80
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_nt
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.02432
256
48
3,170,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_bf16_s16816gemm_bf16_128x128_ldg8_f2f_stages_64x3_tn
bf16
false
128
5,112
5,120
1
128
null
null
null
null
q_proj
0.06947
128
80
64,510,000
246
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_bf16_s16816gemm_bf16_256x128_ldg8_f2f_stages_64x3_tn
bf16
false
128
5,112
5,120
1
128
null
null
null
null
q_proj
0.16694
256
68
179,590,000
238
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_bf16_s16816gemm_bf16_256x128_ldg8_f2f_stages_64x3_tn
bf16
false
128
5,112
5,120
1
128
null
null
null
null
q_proj
0.1671
256
68
179,590,000
238
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_bf16_s16816gemm_bf16_256x128_ldg8_f2f_stages_64x3_tn
bf16
false
128
5,112
5,120
1
128
null
null
null
null
q_proj
0.1751
256
80
182,740,000
238
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_bf16_s16816gemm_bf16_128x128_ldg8_f2f_stages_64x3_tn
bf16
false
128
5,112
5,120
1
128
null
null
null
null
q_proj
0.10138
128
80
106,190,000
246
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_bf16_s16816gemm_bf16_128x128_ldg8_f2f_stages_64x3_tn
bf16
false
128
5,112
5,120
1
128
null
null
null
null
q_proj
0.06563
128
96
64,250,000
246
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void cutlass::Kernel2<cutlass_80_tensorop_s16816gemm_bf16_64x64_64x6_tn_align8>(T1::Params)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.00829
128
54
1,820,000
91
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void cutlass::Kernel2<cutlass_80_tensorop_s16816gemm_bf16_64x64_64x6_tn_align8>(T1::Params)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.0081
128
54
1,820,000
91
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_tn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.03994
256
96
6,310,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void magma_sgemmEx_kernel<float, float, float, 0, 0, 6, 3, 5, 3, 3>(int, int, int, Tensor, int, Tensor, int, Tensor, int, Tensor, int, int, int, const T1 *, const T1 *, T1, T1, int, cublasLtEpilogue_t, int, const void *, long)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.02234
64
384
4,750,000
80
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
void magma_sgemmEx_kernel<float, float, float, 0, 0, 6, 3, 5, 3, 3>(int, int, int, Tensor, int, Tensor, int, Tensor, int, Tensor, int, int, int, const T1 *, const T1 *, T1, T1, int, cublasLtEpilogue_t, int, const void *, long)
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.02205
64
384
4,750,000
80
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_tn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.03933
256
48
3,170,000
118
Qwen3.5-27B_prefill
A100
Qwen3.5-27B
gemm
ampere_sgemm_128x128_nn
bf16
false
128
852
5,120
1
128
null
null
null
null
k_proj
0.0392
256
48
4,740,000
118