Initial commit

ktransformers/tests/dequant_gpu.py

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+import os 
+os.environ["CUDA_VISIBLE_DEVICES"]="1"
+# add path
+import sys
+current_path = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(current_path+"/../..")
+import pycuda.autoinit
+import pycuda.driver as cuda
+from pycuda.compiler import SourceModule
+import numpy as np
+# from ktransformers.operators.linear import KTransformerLinear, QuantizedLinearMarlin
+# from ktransformers.operators.experts import KTransformersMLPExpert, MLPExpertsTorch
+from ktransformers.util.custom_gguf import GGUFLoader
+import torch
+import KTransformersOps
+torch.set_default_dtype(torch.bfloat16)
+import time
+from transformers import (
+    AutoConfig,
+)
+
+gguf_config = GGUFLoader("/data/Qwen2-57B-A14B-Instruct-GGUF/q4_k_m")
+model_name = "/data/Qwen2-57B-A14B-Instruct"
+key = "blk.0."
+target = "ffn_down_exps.weight"
+
+t1 = time.time()
+q_weight_cpu = gguf_config.load_gguf_tensor(key+target, "cpu")
+# q_weight_cpu = torch.from_numpy(q_weight_cpu)
+
+t2 = time.time()
+q_weight_gpu = gguf_config.load_gguf_tensor(key+target, "cuda")
+t3 = time.time()
+print()
+allclose = torch.allclose(q_weight_cpu, q_weight_gpu.cpu().to(torch.float32), atol=1e-6)
+print(f"Q6k {key+target}")
+print("load gguf tensor from cpu cost: ", t2-t1)
+print("load gguf tensor from gpu cost: ", t3-t2)
+print("allclose: ", allclose)
+
+
+key = "blk.1."
+target = "ffn_up_shexp.weight"
+
+t1 = time.time()
+q_weight_cpu = gguf_config.load_gguf_tensor(key+target, "cpu")
+# q_weight_cpu = torch.from_numpy(q_weight_cpu)
+
+t2 = time.time()
+q_weight_gpu = gguf_config.load_gguf_tensor(key+target, "cuda")
+t3 = time.time()
+print()
+allclose = torch.allclose(q_weight_cpu, q_weight_gpu.cpu(), atol=1e-6)
+print(f"Q4k {key+target}")
+print("load gguf tensor from cpu cost: ", t2-t1)
+print("load gguf tensor from gpu cost: ", t3-t2)
+print("allclose: ", allclose)