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https://github.com/ggerganov/whisper.cpp.git
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whisper : add Core ML support (#566)
* coreml : use Core ML encoder inference * coreml : simlpify whisper_encode + log messages * whisper : resolve rebase conflicts * coreml : add scripts for CoreML model generation * bench-all : recognize COREML flag
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67
coreml/whisper-encoder.mm
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67
coreml/whisper-encoder.mm
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#import "coreml/whisper-encoder.h"
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#import "coreml/whisper-encoder-impl.h"
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#import <CoreML/CoreML.h>
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#include <stdlib.h>
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#if __cplusplus
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extern "C" {
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#endif
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struct whisper_coreml_context {
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const void * data;
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};
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struct whisper_coreml_context * whisper_coreml_init(const char * path_model) {
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NSString * path_model_str = [[NSString alloc] initWithUTF8String:path_model];
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NSURL * url_model = [NSURL fileURLWithPath: path_model_str];
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const void * data = CFBridgingRetain([[whisper_encoder_impl alloc] initWithContentsOfURL:url_model error:nil]);
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if (data == NULL) {
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return NULL;
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}
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whisper_coreml_context * ctx = new whisper_coreml_context;
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ctx->data = data;
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return ctx;
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}
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void whisper_coreml_free(struct whisper_coreml_context * ctx) {
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CFRelease(ctx->data);
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delete ctx;
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}
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void whisper_coreml_encode(
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const whisper_coreml_context * ctx,
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float * mel,
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float * out) {
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MLMultiArray * inMultiArray = [
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[MLMultiArray alloc] initWithDataPointer: mel
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shape: @[@1, @80, @3000]
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dataType: MLMultiArrayDataTypeFloat32
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strides: @[@(240000), @(3000), @1]
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deallocator: nil
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error: nil
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];
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whisper_encoder_implOutput * outCoreML = [(__bridge id) ctx->data predictionFromLogmel_data:inMultiArray error:nil];
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MLMultiArray * outMA = outCoreML.output;
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//NSArray<NSNumber *> * shape = outMA.shape;
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//NSArray<NSNumber *> * strides = outMA.strides;
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//printf("shape: %ld %ld %ld %ld\n", [shape[0] longValue], [shape[1] longValue], [shape[2] longValue], [shape[3] longValue]);
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//printf("strides: %ld %ld %ld %ld\n", [strides[0] longValue], [strides[1] longValue], [strides[2] longValue], [strides[3] longValue]);
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memcpy(out, outMA.dataPointer, outMA.count * sizeof(float));
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}
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#if __cplusplus
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}
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#endif
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