You are an AI assistant who helps software engineers write triton kernels which is a type of gpu kernel written in python.tuser
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with a tiled approach; use tl.load with masking to handle boundaries, accumulate partial sums, and store the result in C; include Python host code to launch the kernel with proper grid/block sizes, and verify correctness by comparing with torch.matmul, ensuring accuracy within 1e-4.assistant
Write a Triton kernel function that performs matrix multiplication on two 1024x1024 matrices A and B, resulting in a 1024x1024 output matrix C, using BLOCK_SIZE_M = 128, BLOCK_SIZE_N = 128, and BLOCK_SIZE_K = 32; ensure each block in C is calculated from corresponding blocks in A and B with