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https://github.com/ggerganov/whisper.cpp.git
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build : add WHISPER_COREML_ALLOW_FALLBACK to make / CMake (#812)
This commit is contained in:
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@ -39,32 +39,33 @@ endif()
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# options
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option(BUILD_SHARED_LIBS "whisper: build shared libs" ${BUILD_SHARED_LIBS_DEFAULT})
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option(BUILD_SHARED_LIBS "whisper: build shared libs" ${BUILD_SHARED_LIBS_DEFAULT})
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option(WHISPER_ALL_WARNINGS "whisper: enable all compiler warnings" ON)
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option(WHISPER_ALL_WARNINGS_3RD_PARTY "whisper: enable all compiler warnings in 3rd party libs" OFF)
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option(WHISPER_ALL_WARNINGS "whisper: enable all compiler warnings" ON)
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option(WHISPER_ALL_WARNINGS_3RD_PARTY "whisper: enable all compiler warnings in 3rd party libs" OFF)
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option(WHISPER_SANITIZE_THREAD "whisper: enable thread sanitizer" OFF)
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option(WHISPER_SANITIZE_ADDRESS "whisper: enable address sanitizer" OFF)
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option(WHISPER_SANITIZE_UNDEFINED "whisper: enable undefined sanitizer" OFF)
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option(WHISPER_SANITIZE_THREAD "whisper: enable thread sanitizer" OFF)
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option(WHISPER_SANITIZE_ADDRESS "whisper: enable address sanitizer" OFF)
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option(WHISPER_SANITIZE_UNDEFINED "whisper: enable undefined sanitizer" OFF)
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option(WHISPER_BUILD_TESTS "whisper: build tests" ${WHISPER_STANDALONE})
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option(WHISPER_BUILD_EXAMPLES "whisper: build examples" ${WHISPER_STANDALONE})
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option(WHISPER_BUILD_TESTS "whisper: build tests" ${WHISPER_STANDALONE})
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option(WHISPER_BUILD_EXAMPLES "whisper: build examples" ${WHISPER_STANDALONE})
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option(WHISPER_SUPPORT_SDL2 "whisper: support for libSDL2" OFF)
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option(WHISPER_SUPPORT_SDL2 "whisper: support for libSDL2" OFF)
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if (APPLE)
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option(WHISPER_NO_ACCELERATE "whisper: disable Accelerate framework" OFF)
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option(WHISPER_NO_AVX "whisper: disable AVX" OFF)
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option(WHISPER_NO_AVX2 "whisper: disable AVX2" OFF)
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option(WHISPER_NO_FMA "whisper: disable FMA" OFF)
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option(WHISPER_NO_ACCELERATE "whisper: disable Accelerate framework" OFF)
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option(WHISPER_NO_AVX "whisper: disable AVX" OFF)
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option(WHISPER_NO_AVX2 "whisper: disable AVX2" OFF)
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option(WHISPER_NO_FMA "whisper: disable FMA" OFF)
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option(WHISPER_COREML "whisper: enable Core ML framework" OFF)
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option(WHISPER_COREML "whisper: enable Core ML framework" OFF)
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option(WHISPER_COREML_ALLOW_FALLBACK "whisper: allow non-CoreML fallback" OFF)
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else()
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option(WHISPER_SUPPORT_OPENBLAS "whisper: support for OpenBLAS" OFF)
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option(WHISPER_SUPPORT_OPENBLAS "whisper: support for OpenBLAS" OFF)
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endif()
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option(WHISPER_PERF "whisper: enable perf timings" OFF)
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option(WHISPER_PERF "whisper: enable perf timings" OFF)
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# sanitizers
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@ -119,6 +120,10 @@ if (APPLE)
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else()
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message(WARNING "CoreML framework not found")
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endif()
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if (WHISPER_COREML_ALLOW_FALLBACK)
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set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DWHISPER_USE_COREML_ALLOW_FALLBACK)
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endif()
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endif()
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endif()
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13
Makefile
13
Makefile
@ -123,6 +123,7 @@ endif
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ifeq ($(UNAME_M),amd64)
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CFLAGS += -mavx -mavx2 -mfma -mf16c
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endif
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ifneq ($(filter ppc64%,$(UNAME_M)),)
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POWER9_M := $(shell grep "POWER9" /proc/cpuinfo)
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ifneq (,$(findstring POWER9,$(POWER9_M)))
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@ -133,6 +134,7 @@ ifneq ($(filter ppc64%,$(UNAME_M)),)
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CXXFLAGS += -std=c++23 -DGGML_BIG_ENDIAN
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endif
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endif
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ifndef WHISPER_NO_ACCELERATE
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# Mac M1 - include Accelerate framework
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ifeq ($(UNAME_S),Darwin)
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@ -140,26 +142,36 @@ ifndef WHISPER_NO_ACCELERATE
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LDFLAGS += -framework Accelerate
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endif
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endif
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ifdef WHISPER_COREML
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CXXFLAGS += -DWHISPER_USE_COREML
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LDFLAGS += -framework Foundation -framework CoreML
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ifdef WHISPER_COREML_ALLOW_FALLBACK
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CXXFLAGS += -DWHISPER_COREML_ALLOW_FALLBACK
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endif
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endif
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ifdef WHISPER_OPENBLAS
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CFLAGS += -DGGML_USE_OPENBLAS -I/usr/local/include/openblas
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LDFLAGS += -lopenblas
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endif
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ifdef WHISPER_GPROF
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CFLAGS += -pg
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CXXFLAGS += -pg
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endif
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ifneq ($(filter aarch64%,$(UNAME_M)),)
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CFLAGS += -mcpu=native
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CXXFLAGS += -mcpu=native
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endif
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ifneq ($(filter armv6%,$(UNAME_M)),)
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# 32-bit Raspberry Pi 1, 2, 3
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CFLAGS += -mfpu=neon -mfp16-format=ieee -mno-unaligned-access
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endif
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ifneq ($(filter armv7%,$(UNAME_M)),)
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# 32-bit ARM, for example on Armbian or possibly raspbian
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CFLAGS += -mfpu=neon -mfp16-format=ieee -mno-unaligned-access -funsafe-math-optimizations
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@ -167,6 +179,7 @@ ifneq ($(filter armv7%,$(UNAME_M)),)
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# 64-bit ARM, use these (TODO: auto-detect 64-bit)
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# CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access -funsafe-math-optimizations
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endif
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ifneq ($(filter armv8%,$(UNAME_M)),)
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# Raspberry Pi 4
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CFLAGS += -mfp16-format=ieee -mno-unaligned-access
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119
whisper.cpp
119
whisper.cpp
@ -1393,18 +1393,17 @@ static bool whisper_encode_internal(
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const bool use_coreml = wstate.ctx_coreml != nullptr;
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#endif
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if (!use_coreml)
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{
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if (!use_coreml) {
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// convolution + gelu
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{
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wstate.use_buf(ctx0, 1);
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cur = ggml_conv_1d_1s(ctx0, model.e_conv_1_w, mel);
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cur = ggml_add(ctx0,
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ggml_repeat(ctx0,
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model.e_conv_1_b,
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cur),
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cur);
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ggml_repeat(ctx0,
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model.e_conv_1_b,
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cur),
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cur);
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cur = ggml_gelu(ctx0, cur);
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@ -1412,10 +1411,10 @@ static bool whisper_encode_internal(
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cur = ggml_conv_1d_2s(ctx0, model.e_conv_2_w, cur);
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cur = ggml_add(ctx0,
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ggml_repeat(ctx0,
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model.e_conv_2_b,
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cur),
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cur);
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ggml_repeat(ctx0,
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model.e_conv_2_b,
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cur),
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cur);
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cur = ggml_gelu(ctx0, cur);
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}
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@ -1461,10 +1460,10 @@ static bool whisper_encode_internal(
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// cur = ln_0_w*cur + ln_0_b
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cur = ggml_add(ctx0,
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ggml_mul(ctx0,
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ggml_repeat(ctx0, layer.attn_ln_0_w, cur),
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cur),
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ggml_repeat(ctx0, layer.attn_ln_0_b, cur));
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ggml_mul(ctx0,
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ggml_repeat(ctx0, layer.attn_ln_0_w, cur),
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cur),
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ggml_repeat(ctx0, layer.attn_ln_0_b, cur));
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}
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// self-attention
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@ -1472,39 +1471,39 @@ static bool whisper_encode_internal(
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wstate.use_buf(ctx0, 1);
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struct ggml_tensor * Qcur = ggml_mul_mat(ctx0,
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layer.attn_q_w,
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cur);
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layer.attn_q_w,
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cur);
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Qcur = ggml_add(ctx0,
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ggml_repeat(ctx0,
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layer.attn_q_b,
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Qcur),
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Qcur);
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ggml_repeat(ctx0,
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layer.attn_q_b,
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Qcur),
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Qcur);
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//Qcur = ggml_scale(ctx0, Qcur, ggml_new_f32(ctx0, pow(float(n_state)/n_head, -0.25)));
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// note: no bias for Key
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struct ggml_tensor * Kcur = ggml_mul_mat(ctx0,
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layer.attn_k_w,
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cur);
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layer.attn_k_w,
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cur);
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//Kcur = ggml_scale(ctx0, Kcur, ggml_new_f32(ctx0, pow(float(n_state)/n_head, -0.25)));
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struct ggml_tensor * Vcur = ggml_mul_mat(ctx0,
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layer.attn_v_w,
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cur);
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layer.attn_v_w,
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cur);
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Vcur = ggml_add(ctx0,
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ggml_repeat(ctx0,
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layer.attn_v_b,
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Vcur),
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Vcur);
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ggml_repeat(ctx0,
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layer.attn_v_b,
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Vcur),
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Vcur);
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// ------
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wstate.use_buf(ctx0, 0);
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#ifdef WHISPER_USE_FLASH_ATTN
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#ifdef WHISPER_USE_FLASH_ATTN
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struct ggml_tensor * Q =
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ggml_permute(ctx0,
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ggml_cpy(ctx0,
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@ -1529,7 +1528,7 @@ static bool whisper_encode_internal(
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ggml_new_tensor_3d(ctx0, wctx.wtype, n_ctx, n_state/n_head, n_head));
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struct ggml_tensor * KQV = ggml_flash_attn(ctx0, Q, K, V, false);
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#else
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#else
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struct ggml_tensor * Q =
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ggml_permute(ctx0,
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ggml_cpy(ctx0,
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@ -1575,14 +1574,14 @@ static bool whisper_encode_internal(
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);
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struct ggml_tensor * KQV = ggml_mul_mat(ctx0, ggml_transpose(ctx0, V), KQ_soft_max);
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#endif
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#endif
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struct ggml_tensor * KQV_merged = ggml_permute(ctx0, KQV, 0, 2, 1, 3);
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wstate.use_buf(ctx0, 1);
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cur = ggml_cpy(ctx0,
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KQV_merged,
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ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_state, n_ctx));
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KQV_merged,
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ggml_new_tensor_2d(ctx0, GGML_TYPE_F32, n_state, n_ctx));
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}
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// projection
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@ -1590,14 +1589,14 @@ static bool whisper_encode_internal(
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wstate.use_buf(ctx0, 0);
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cur = ggml_mul_mat(ctx0,
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layer.attn_ln_1_w,
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cur);
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layer.attn_ln_1_w,
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cur);
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wstate.use_buf(ctx0, 1);
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cur = ggml_add(ctx0,
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ggml_repeat(ctx0, layer.attn_ln_1_b, cur),
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cur);
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ggml_repeat(ctx0, layer.attn_ln_1_b, cur),
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cur);
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}
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wstate.use_buf(ctx0, 2);
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@ -1619,31 +1618,31 @@ static bool whisper_encode_internal(
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// cur = mlp_ln_w*cur + mlp_ln_b
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cur = ggml_add(ctx0,
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ggml_mul(ctx0,
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ggml_repeat(ctx0, layer.mlp_ln_w, cur),
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cur),
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ggml_repeat(ctx0, layer.mlp_ln_b, cur));
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ggml_mul(ctx0,
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ggml_repeat(ctx0, layer.mlp_ln_w, cur),
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cur),
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ggml_repeat(ctx0, layer.mlp_ln_b, cur));
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}
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#ifdef WHISPER_USE_FLASH_FF
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#ifdef WHISPER_USE_FLASH_FF
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wstate.use_buf(ctx0, 0);
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cur = ggml_flash_ff(ctx0,
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ggml_cpy(ctx0, cur, ggml_new_tensor_2d(ctx0, wstate.wtype, n_state, n_ctx)),
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layer.mlp_0_w, layer.mlp_0_b, layer.mlp_1_w, layer.mlp_1_b);
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#else
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ggml_cpy(ctx0, cur, ggml_new_tensor_2d(ctx0, wstate.wtype, n_state, n_ctx)),
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layer.mlp_0_w, layer.mlp_0_b, layer.mlp_1_w, layer.mlp_1_b);
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#else
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wstate.use_buf(ctx0, 0);
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// fully connected
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cur = ggml_mul_mat(ctx0,
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layer.mlp_0_w,
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cur);
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layer.mlp_0_w,
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cur);
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wstate.use_buf(ctx0, 1);
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cur = ggml_add(ctx0,
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ggml_repeat(ctx0, layer.mlp_0_b, cur),
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cur);
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ggml_repeat(ctx0, layer.mlp_0_b, cur),
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cur);
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wstate.use_buf(ctx0, 0);
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@ -1654,15 +1653,15 @@ static bool whisper_encode_internal(
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// projection
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cur = ggml_mul_mat(ctx0,
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layer.mlp_1_w,
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cur);
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layer.mlp_1_w,
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cur);
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wstate.use_buf(ctx0, 0);
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cur = ggml_add(ctx0,
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ggml_repeat(ctx0, layer.mlp_1_b, cur),
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cur);
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#endif
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ggml_repeat(ctx0, layer.mlp_1_b, cur),
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cur);
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#endif
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}
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wstate.use_buf(ctx0, 3);
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@ -1682,10 +1681,10 @@ static bool whisper_encode_internal(
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// cur = ln_f_g*cur + ln_f_b
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cur = ggml_add(ctx0,
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ggml_mul(ctx0,
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ggml_repeat(ctx0, model.e_ln_w, cur),
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cur),
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ggml_repeat(ctx0, model.e_ln_b, cur));
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ggml_mul(ctx0,
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ggml_repeat(ctx0, model.e_ln_w, cur),
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cur),
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ggml_repeat(ctx0, model.e_ln_b, cur));
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}
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wstate.use_buf(ctx0, -1);
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@ -2580,11 +2579,11 @@ struct whisper_state * whisper_init_state(whisper_context * ctx) {
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state->ctx_coreml = whisper_coreml_init(path_coreml.c_str());
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if (!state->ctx_coreml) {
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fprintf(stderr, "%s: failed to load Core ML model from '%s'\n", __func__, path_coreml.c_str());
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#ifndef WHISPER_COREML_ALLOW_FALLBACK
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#ifndef WHISPER_COREML_ALLOW_FALLBACK
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return nullptr;
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#endif
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} else {
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fprintf(stderr, "%s: Core ML model loaded\n", __func__);
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fprintf(stderr, "%s: Core ML model loaded\n", __func__);
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}
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#endif
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