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[ { "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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