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6 changed files with 1358 additions and 1210 deletions
+1 -1
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@@ -1,7 +1,7 @@
---
name: Bug template
about: Used to report bugs in llama.cpp
labels: ["bug-unconfirmed"]
labels: ["bug"]
assignees: ''
---
Generated
+3 -3
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@@ -20,11 +20,11 @@
},
"nixpkgs": {
"locked": {
"lastModified": 1698134075,
"narHash": "sha256-foCD+nuKzfh49bIoiCBur4+Fx1nozo+4C/6k8BYk4sg=",
"lastModified": 1692913444,
"narHash": "sha256-1SvMQm2DwofNxXVtNWWtIcTh7GctEVrS/Xel/mdc6iY=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "8efd5d1e283604f75a808a20e6cde0ef313d07d4",
"rev": "18324978d632ffc55ef1d928e81630c620f4f447",
"type": "github"
},
"original": {
-7
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@@ -51,9 +51,6 @@
};
llama-python =
pkgs.python3.withPackages (ps: with ps; [ numpy sentencepiece ]);
# TODO(Green-Sky): find a better way to opt-into the heavy ml python runtime
llama-python-extra =
pkgs.python3.withPackages (ps: with ps; [ numpy sentencepiece torchWithoutCuda transformers ]);
postPatch = ''
substituteInPlace ./ggml-metal.m \
--replace '[bundle pathForResource:@"ggml-metal" ofType:@"metal"];' "@\"$out/bin/ggml-metal.metal\";"
@@ -129,9 +126,5 @@
buildInputs = [ llama-python ];
packages = nativeBuildInputs ++ osSpecific;
};
devShells.extra = pkgs.mkShell {
buildInputs = [ llama-python-extra ];
packages = nativeBuildInputs ++ osSpecific;
};
});
}
+4 -11
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@@ -210,10 +210,6 @@ struct ggml_metal_context * ggml_metal_init(int n_cb) {
GGML_METAL_LOG_INFO("%s: default.metallib not found, loading from source\n", __func__);
NSString * sourcePath = [bundle pathForResource:@"ggml-metal" ofType:@"metal"];
if (sourcePath == nil) {
GGML_METAL_LOG_WARN("%s: error: could not use bundle path to find ggml-metal.metal, falling back to trying cwd\n", __func__);
sourcePath = @"ggml-metal.metal";
}
GGML_METAL_LOG_INFO("%s: loading '%s'\n", __func__, [sourcePath UTF8String]);
NSString * src = [NSString stringWithContentsOfFile:sourcePath encoding:NSUTF8StringEncoding error:&error];
if (error) {
@@ -238,17 +234,14 @@ struct ggml_metal_context * ggml_metal_init(int n_cb) {
// load kernels
{
NSError * error = nil;
/*
GGML_METAL_LOG_INFO("%s: loaded %-32s %16p | th_max = %4d | th_width = %4d\n", __func__, "kernel_"#name, (void *) ctx->pipeline_##name, \
(int) ctx->pipeline_##name.maxTotalThreadsPerThreadgroup, \
(int) ctx->pipeline_##name.threadExecutionWidth); \
*/
#define GGML_METAL_ADD_KERNEL(name) \
ctx->function_##name = [ctx->library newFunctionWithName:@"kernel_"#name]; \
ctx->pipeline_##name = [ctx->device newComputePipelineStateWithFunction:ctx->function_##name error:&error]; \
GGML_METAL_LOG_INFO("%s: loaded %-32s %16p | th_max = %4d | th_width = %4d\n", __func__, "kernel_"#name, (void *) ctx->pipeline_##name, \
(int) ctx->pipeline_##name.maxTotalThreadsPerThreadgroup, \
(int) ctx->pipeline_##name.threadExecutionWidth); \
if (error) { \
GGML_METAL_LOG_ERROR("%s: error: load pipeline error: %s\n", __func__, [[error description] UTF8String]); \
GGML_METAL_LOG_ERROR("%s: error: load pipeline error: %s\n", __func__, [[error description] UTF8String]); \
return NULL; \
}
+1 -1
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@@ -709,7 +709,7 @@ extern "C" {
// Context tensor enumeration and lookup
GGML_API struct ggml_tensor * ggml_get_first_tensor(struct ggml_context * ctx);
GGML_API struct ggml_tensor * ggml_get_next_tensor (struct ggml_context * ctx, struct ggml_tensor * tensor);
GGML_API struct ggml_tensor * ggml_get_tensor (struct ggml_context * ctx, const char * name);
GGML_API struct ggml_tensor * ggml_get_tensor(struct ggml_context * ctx, const char * name);
GGML_API struct ggml_tensor * ggml_set_zero(struct ggml_tensor * tensor);
GGML_API struct ggml_tensor * ggml_set_i32 (struct ggml_tensor * tensor, int32_t value);
+1349 -1187
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