prompt listlengths 1 1 | data_source stringclasses 1
value | ability stringclasses 1
value | answer stringclasses 1
value | raw_problem stringlengths 5.02k 11.4k | level int64 -1 -1 | type stringclasses 1
value | reward_model dict | extra_info dict | problem_idx stringlengths 22 33 |
|---|---|---|---|---|---|---|---|---|---|
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "resnet_block/func_forward"
} | resnet_block/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "llama_ffw/func_forward"
} | llama_ffw/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_linear_relu/func_forward"
} | mnist_linear_relu/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_conv_relu_pool/func_forward"
} | mnist_conv_relu_pool/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_cross_entropy/func_forward"
} | mnist_cross_entropy/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "layernorm/func_forward"
} | layernorm/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_pool/func_forward"
} | mnist_pool/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "unet_linear/func_forward"
} | unet_linear/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_linear/func_forward"
} | mnist_linear/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "llama_rmsnorm/func_forward"
} | llama_rmsnorm/func_forward | ||
[
{
"content": "You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.\n\nThe CUDA code you generate will be saved in `cuda_fname` and loaded using \n↪ torch.utils.cpp_extension.load():\n```python\ncuda_fn = load(\n name=task_name,\n sources=[cuda_fname... | robust_kbench | code | You are an expert CUDA engineer tasked with translating PyTorch code into highly optimized CUDA kernel code.
The CUDA code you generate will be saved in `cuda_fname` and loaded using
↪ torch.utils.cpp_extension.load():
```python
cuda_fn = load(
name=task_name,
sources=[cuda_fname],
extra_cuda_cflags=["-O... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "unet_conv2d/func_forward"
} | unet_conv2d/func_forward |
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