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tests: add gradient checking to test-backend-ops
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Original file line number | Diff line number | Diff line change |
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#include "sumrows.cuh" | ||
#include "sum.cuh" | ||
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#include <cstdint> | ||
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#if !defined(GGML_USE_HIPBLAS) && !defined(GGML_USE_MUSA) | ||
#include <cub/cub.cuh> | ||
using namespace cub; | ||
#endif // !defined(GGML_USE_HIPBLAS) && !defined(GGML_USE_MUSA) | ||
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void sum_f32_cuda(ggml_cuda_pool & pool, const float * x, float * dst, const int64_t ne, cudaStream_t stream) { | ||
#if !defined(GGML_USE_HIPBLAS) && !defined(GGML_USE_MUSA) | ||
size_t tmp_size = 0; | ||
DeviceReduce::Sum(nullptr, tmp_size, x, dst, ne, stream); | ||
ggml_cuda_pool_alloc<uint8_t> tmp_alloc(pool, tmp_size); | ||
DeviceReduce::Sum(tmp_alloc.ptr, tmp_size, x, dst, ne, stream); | ||
#else | ||
// Use (inefficient) sum_rows implementation as a fallback. | ||
// For AMD there is rocPRIM which could be used as a drop-in replacement via hipcub but this would require C++11 -> C++14. | ||
sum_rows_f32_cuda(x, dst, ne, 1, stream); | ||
GGML_UNUSED(pool); | ||
#endif // !defined(GGML_USE_HIPBLAS) && !defined(GGML_USE_MUSA) | ||
} | ||
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void ggml_cuda_op_sum(ggml_backend_cuda_context & ctx, ggml_tensor * dst) { | ||
const ggml_tensor * src0 = dst->src[0]; | ||
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GGML_ASSERT(src0->type == GGML_TYPE_F32); | ||
GGML_ASSERT( dst->type == GGML_TYPE_F32); | ||
GGML_ASSERT(ggml_is_contiguous(src0)); | ||
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const float * src0_d = (const float *) src0->data; | ||
float * dst_d = (float *) dst->data; | ||
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const int64_t ne = ggml_nelements(src0); | ||
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ggml_cuda_pool & pool = ctx.pool(); | ||
cudaStream_t stream = ctx.stream(); | ||
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sum_f32_cuda(pool, src0_d, dst_d, ne, stream); | ||
} |
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#include "common.cuh" | ||
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void sum_f32_cuda(ggml_cuda_pool & pool, const float * x, float * dst, const int64_t ne, cudaStream_t stream); | ||
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void ggml_cuda_op_sum(ggml_backend_cuda_context & ctx, ggml_tensor * dst); |
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