mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-20 05:07:52 +00:00
163 lines
6.5 KiB
Mathematica
163 lines
6.5 KiB
Mathematica
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#import "ggml-mtl.h"
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#import <Foundation/Foundation.h>
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#import <Metal/Metal.h>
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#import <MetalPerformanceShaders/MetalPerformanceShaders.h>
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#define GGML_MTL_MAX_BUFFERS 256
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// global static storage for Metal buffers
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// TODO: move this into a dynamic context
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static id<MTLBuffer> g_buffers[GGML_MTL_MAX_BUFFERS];
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// global MTL context
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// TODO: move this into a dynamic context
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static id<MTLDevice> g_device;
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static id<MTLCommandQueue> g_command_queue;
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struct ggml_mtl_context * ggml_mtl_init() {
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// TODO: implement properly
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// for now, init the global MTL context and MTL buffers
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g_device = MTLCreateSystemDefaultDevice();
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g_command_queue = [g_device newCommandQueue];
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if (g_command_queue == nil)
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{
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NSLog(@"Failed to find the command queue.");
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return nil;
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}
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return nil;
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}
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// search for unallocated buffer slot and use it
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struct ggml_mtl_object ggml_mtl_alloc(size_t size) {
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// TODO: temporarily making sure that the buffers are nil at the start
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static bool first = true;
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if (first) {
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for (int i = 0; i < GGML_MTL_MAX_BUFFERS; ++i) {
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assert(g_buffers[i] == nil);
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}
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first = false;
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}
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struct ggml_mtl_object obj = { -1, nil };
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for (int i = 0; i < GGML_MTL_MAX_BUFFERS; i++) {
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if (g_buffers[i] == nil) {
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g_buffers[i] = [g_device newBufferWithLength:size options:MTLResourceStorageModeManaged];
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// lunk the MTL buffer to the ggml object
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obj.id = i;
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obj.data = [g_buffers[i] contents];
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break;
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}
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}
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return obj;
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}
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struct params_mul_mat_vec {
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int N; // rows
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int M; // cols
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};
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// multiply matrix with a vector using MPSMatrixVectorMultiplication
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void ggml_mtl_mul_mat_vec_f16(
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struct ggml_mtl_context * ctx,
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struct ggml_mtl_object src0,
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const __fp16 * src1,
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float * dst,
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int nrows,
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int ncols) {
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(void) ctx; // unused
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// Create a command buffer to hold commands.
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id<MTLCommandBuffer> commandBuffer = [g_command_queue commandBuffer];
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assert(commandBuffer != nil);
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// make managed device buffer to store src1
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id<MTLBuffer> src1_buffer = [g_device newBufferWithBytes:src1 length:ncols*sizeof(__fp16) options:MTLResourceStorageModeManaged];
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id<MTLBuffer> dst_buffer = [g_device newBufferWithLength:nrows*sizeof(float) options:MTLResourceStorageModeManaged];
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// MPSMatrixDescriptor
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MPSMatrixDescriptor *src0_desc = [MPSMatrixDescriptor matrixDescriptorWithRows:nrows columns:ncols rowBytes:ncols*sizeof(__fp16) dataType:MPSDataTypeFloat16];
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MPSVectorDescriptor *src1_desc = [MPSVectorDescriptor vectorDescriptorWithLength:ncols dataType:MPSDataTypeFloat16];
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MPSVectorDescriptor *dst_desc = [MPSVectorDescriptor vectorDescriptorWithLength:nrows dataType:MPSDataTypeFloat32];
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// MPSMatrix
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MPSMatrix *src0_mat = [[MPSMatrix alloc] initWithBuffer:g_buffers[src0.id] descriptor:src0_desc];
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MPSVector *src1_vec = [[MPSVector alloc] initWithBuffer:src1_buffer descriptor:src1_desc];
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MPSVector *dst_vec = [[MPSVector alloc] initWithBuffer:dst_buffer descriptor:dst_desc];
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// MPSMatrixVectorMultiplication
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MPSMatrixVectorMultiplication *mul_mat_vec = [[MPSMatrixVectorMultiplication alloc] initWithDevice:g_device transpose:NO rows:nrows columns:ncols alpha:1.0 beta:0.0];
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// encode
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[mul_mat_vec encodeToCommandBuffer:commandBuffer
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inputMatrix:src0_mat
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inputVector:src1_vec
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resultVector:dst_vec];
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[commandBuffer commit];
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[commandBuffer waitUntilCompleted];
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// copy GPU result to CPU
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memcpy(dst, [dst_buffer contents], nrows*sizeof(float));
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}
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// multiply matrix with a matrix using MPSMatrixMultiplication
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void ggml_mtl_mul_mat_f16(
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struct ggml_mtl_context * ctx,
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struct ggml_mtl_object src0,
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const __fp16 * src1,
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float * dst,
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int nrows0,
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int nrows1,
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int ncols) {
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(void) ctx; // unused
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// Create a command buffer to hold commands.
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id<MTLCommandBuffer> commandBuffer = [g_command_queue commandBuffer];
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assert(commandBuffer != nil);
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// make managed device buffer to store src1
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id<MTLBuffer> src1_buffer = [g_device newBufferWithBytes:src1 length:ncols*nrows1*sizeof(__fp16) options:MTLResourceStorageModeManaged];
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id<MTLBuffer> dst_buffer = [g_device newBufferWithLength:nrows0*nrows1*sizeof(float) options:MTLResourceStorageModeManaged];
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// MPSMatrixDescriptor
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MPSMatrixDescriptor *src0_desc = [MPSMatrixDescriptor matrixDescriptorWithRows:nrows0 columns:ncols rowBytes:ncols*sizeof(__fp16) dataType:MPSDataTypeFloat16];
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MPSMatrixDescriptor *src1_desc = [MPSMatrixDescriptor matrixDescriptorWithRows:nrows1 columns:ncols rowBytes:ncols*sizeof(__fp16) dataType:MPSDataTypeFloat16];
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MPSMatrixDescriptor *dst_desc = [MPSMatrixDescriptor matrixDescriptorWithRows:nrows1 columns:nrows0 rowBytes:nrows0*sizeof(float) dataType:MPSDataTypeFloat32];
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// MPSMatrix
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MPSMatrix *src0_mat = [[MPSMatrix alloc] initWithBuffer:g_buffers[src0.id] descriptor:src0_desc];
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MPSMatrix *src1_mat = [[MPSMatrix alloc] initWithBuffer:src1_buffer descriptor:src1_desc];
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MPSMatrix *dst_mat = [[MPSMatrix alloc] initWithBuffer:dst_buffer descriptor:dst_desc];
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//// MPSMatrixMultiplication z = x * yT
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//MPSMatrixMultiplication *mul_mat = [[MPSMatrixMultiplication alloc] initWithDevice:g_device transposeLeft:NO transposeRight:YES resultRows:nrows resultColumns:nrows interiorColumns:ncols alpha:1.0 beta:0.0];
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//// encode
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//[mul_mat encodeToCommandBuffer:commandBuffer
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// leftMatrix:src0_mat
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// rightMatrix:src1_mat
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// resultMatrix:dst_mat];
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// MPSMatrixMultiplication zT = xT * y
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MPSMatrixMultiplication *mul_mat = [[MPSMatrixMultiplication alloc] initWithDevice:g_device transposeLeft:NO transposeRight:YES resultRows:nrows1 resultColumns:nrows0 interiorColumns:ncols alpha:1.0 beta:0.0];
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// encode
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[mul_mat encodeToCommandBuffer:commandBuffer
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leftMatrix:src1_mat
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rightMatrix:src0_mat
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resultMatrix:dst_mat];
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[commandBuffer commit];
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[commandBuffer waitUntilCompleted];
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// copy GPU result to CPU
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memcpy(dst, [dst_buffer contents], nrows0*nrows1*sizeof(float));
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}
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