dcb2ed4826
* Use events instead of clFinish, where possible * OpenCL: Don't load gpu layers into RAM, add mul_f32 kernel * Reduce queueing overhead for contiguous tensors by using single mul kernel call * Adapt to #1612 cl_mem malloc changes * Reduce code duplication between cuda and opencl branches * Improve implementation
25 lines
861 B
C
25 lines
861 B
C
#pragma once
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#include "ggml.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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void ggml_cl_init(void);
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void ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
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bool ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
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size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
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void ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize);
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void * ggml_cl_host_malloc(size_t size);
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void ggml_cl_host_free(void * ptr);
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void ggml_cl_transform_tensor(struct ggml_tensor * tensor);
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void ggml_cl_load_data(const char * fname, struct ggml_tensor * tensor, size_t offset);
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#ifdef __cplusplus
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}
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#endif
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