added files

README.md

@@ -0,0 +1,3 @@
+---
+license: mit
+---

handler.py

@@ -0,0 +1,53 @@
+# handler.py
+import torch
+from transformers import pipeline, AutoProcessor, Blip2ForConditionalGeneration
+import os
+"""import base64
+from io import BytesIO
+from PIL import Image"""
+
+# check for GPU
+device = 0 if torch.cuda.is_available() else -1
+
+class EndpointHandler():
+    def __init__(self, path=""):
+        blip2_proc =  AutoProcessor.from_pretrained("Salesforce/blip2-opt-2.7b")
+        #blip2 = Blip2ForConditionalGeneration.from_pretrained("sharded", device_map="auto", load_in_8bit=True)
+        blip2 = Blip2ForConditionalGeneration.from_pretrained(os.path.join(path, "sharded"), device_map="auto", load_in_8bit=True)
+        #translator = pipeline("translation",model="Helsinki-NLP/opus-mt-en-de",device=device)
+
+    def __call__(self, data):
+        # deserialize incomin request
+        """b64_img = data.pop("b64", data)
+        lang = data.pop("lang", None)
+        decode = data.pop("decode", None)
+        
+        #prepare image
+        im_bytes = base64.b64decode(b64_img)  # im_bytes is a binary image
+        im_file = BytesIO(im_bytes)  # convert image to file-like object
+        image = Image.open(im_file).convert("RGB")
+        output = {}
+        inputs = self.blip2_proc(image, return_tensors="pt").to(device, torch.float16)
+        #nucleus vs beam sampling
+        if decode == None or decode == "beam":
+            generated_ids = self.blip2.generate(**inputs, max_new_tokens=20)
+            prediction = self.blip2_proc.batch_decode(generated_ids, skip_special_tokens=True)[0].strip()
+            #english vs german caption
+            if  lang != None or lang == "de":
+                translation = self.translator(prediction)
+                output["beam"] = translation[0]
+            else:
+                output["beam"] = prediction
+        if decode != None or decode == "nucleus":
+            generated_ids = self.blip2.generate(**inputs, max_new_tokens=20)
+            prediction = self.blip2_proc.batch_decode(generated_ids, skip_special_tokens=True,do_sample=True)[0].strip()
+            #english vs german caption
+            if  lang != None or lang == "de":
+                translation = self.translator(prediction)
+                output["nucleus"] = translation[0]
+            else:
+                output["nucleus"] = prediction
+        
+        # postprocess the prediction
+        return output"""
+        return 73

requirements.txt

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+git+https://github.com/huggingface/transformers.git
+accelerate
+bitsandbytes
+Pillow
+torch

sharded/config.json

@@ -0,0 +1,256 @@
+{
+  "_commit_hash": "ca9e6c21b0ae56818ab19c8c873eb1bb5cfae2f8",
+  "_name_or_path": "Salesforce/blip2-opt-2.7b",
+  "architectures": [
+    "Blip2ForConditionalGeneration"
+  ],
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "model_type": "blip-2",
+  "num_query_tokens": 32,
+  "qformer_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": null,
+    "attention_probs_dropout_prob": 0.1,
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "classifier_dropout": null,
+    "cross_attention_frequency": 2,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": false,
+    "encoder_hidden_size": 1408,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-12,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 512,
+    "min_length": 0,
+    "model_type": "blip_2_qformer",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": 0,
+    "position_embedding_type": "absolute",
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "transformers_version": "4.27.0.dev0",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "vocab_size": 30522
+  },
+  "text_config": {
+    "_name_or_path": "facebook/opt-2.7b",
+    "_remove_final_layer_norm": false,
+    "activation_dropout": 0.0,
+    "activation_function": "relu",
+    "add_cross_attention": false,
+    "architectures": [
+      "OPTForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
+    "bos_token_id": 2,
+    "chunk_size_feed_forward": 0,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_layer_norm_before": true,
+    "do_sample": false,
+    "dropout": 0.1,
+    "early_stopping": false,
+    "enable_bias": true,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": 50118,
+    "exponential_decay_length_penalty": null,
+    "ffn_dim": 10240,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_size": 2560,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "init_std": 0.02,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_elementwise_affine": true,
+    "layerdrop": 0.0,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 2048,
+    "min_length": 0,
+    "model_type": "opt",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 32,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 32,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": 1,
+    "prefix": "</s>",
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": "float16",
+    "torchscript": false,
+    "transformers_version": "4.27.0.dev0",
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 50272,
+    "word_embed_proj_dim": 2560
+  },
+  "torch_dtype": "float16",
+  "transformers_version": null,
+  "use_decoder_only_language_model": true,
+  "vision_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": null,
+    "attention_dropout": 0.0,
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
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+    "decoder_start_token_id": null,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dropout": 0.0,
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+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_size": 1408,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "image_size": 224,
+    "initializer_factor": 1.0,
+    "initializer_range": 1e-10,
+    "intermediate_size": 6144,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
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+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-05,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "blip_2_vision_model",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 16,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_channels": 3,
+    "num_hidden_layers": 39,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": null,
+    "patch_size": 14,
+    "prefix": null,
+    "problem_type": null,
+    "projection_dim": 512,
+    "pruned_heads": {},
+    "qkv_bias": true,
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "transformers_version": "4.27.0.dev0",
+    "typical_p": 1.0,
+    "use_bfloat16": false
+  }
+}

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