Upload folder using huggingface_hub
Browse files
onnx/prompt_encoder_mask_decoder.onnx
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d33b56fb067cb741d6eb695ba4c521b1b025c401356c503b301cbccb09355ab
|
| 3 |
+
size 16557892
|
onnx/prompt_encoder_mask_decoder_quantized.onnx
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:49784edc1cb36735bfb2d02e8e8b52714c719f5c3aed8685b0a111baf28c46d4
|
| 3 |
+
size 4903810
|
quantize_config.json
CHANGED
|
@@ -4,77 +4,77 @@
|
|
| 4 |
"per_model_config": {
|
| 5 |
"prompt_encoder_mask_decoder": {
|
| 6 |
"op_types": [
|
| 7 |
-
"Reshape",
|
| 8 |
"Gather",
|
| 9 |
-
"
|
| 10 |
-
"
|
| 11 |
-
"Concat",
|
| 12 |
-
"Mul",
|
| 13 |
-
"Unsqueeze",
|
| 14 |
-
"Add",
|
| 15 |
"ReduceMean",
|
|
|
|
|
|
|
|
|
|
| 16 |
"Cast",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
"Softmax",
|
| 18 |
-
"Constant",
|
| 19 |
-
"Transpose",
|
| 20 |
-
"Cos",
|
| 21 |
-
"Not",
|
| 22 |
"Erf",
|
| 23 |
"Where",
|
| 24 |
-
"
|
| 25 |
-
"
|
| 26 |
-
"
|
|
|
|
| 27 |
"OneHot",
|
| 28 |
-
"
|
| 29 |
-
"
|
| 30 |
-
"
|
| 31 |
-
"Sqrt",
|
| 32 |
"MatMul",
|
| 33 |
"Sin",
|
| 34 |
-
"
|
| 35 |
-
"
|
| 36 |
-
"
|
| 37 |
-
"
|
| 38 |
-
"
|
| 39 |
-
"
|
| 40 |
],
|
| 41 |
"weight_type": "QInt8"
|
| 42 |
},
|
| 43 |
"vision_encoder": {
|
| 44 |
"op_types": [
|
| 45 |
-
"Reshape",
|
| 46 |
"Gather",
|
| 47 |
-
"Div",
|
| 48 |
-
"Concat",
|
| 49 |
-
"Mul",
|
| 50 |
-
"Unsqueeze",
|
| 51 |
-
"Mod",
|
| 52 |
-
"Add",
|
| 53 |
-
"Pad",
|
| 54 |
-
"ReduceMean",
|
| 55 |
-
"Cast",
|
| 56 |
-
"Softmax",
|
| 57 |
-
"Constant",
|
| 58 |
-
"Transpose",
|
| 59 |
-
"Cos",
|
| 60 |
-
"Conv",
|
| 61 |
-
"Erf",
|
| 62 |
-
"Sub",
|
| 63 |
-
"Range",
|
| 64 |
"Expand",
|
|
|
|
|
|
|
| 65 |
"Squeeze",
|
| 66 |
-
"Sqrt",
|
| 67 |
"Split",
|
| 68 |
-
"MatMul",
|
| 69 |
-
"Sin",
|
| 70 |
"Tile",
|
| 71 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 72 |
"Einsum",
|
| 73 |
-
"
|
| 74 |
"Slice",
|
| 75 |
"Identity",
|
| 76 |
"ConstantOfShape",
|
| 77 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 78 |
],
|
| 79 |
"weight_type": "QUInt8"
|
| 80 |
}
|
|
|
|
| 4 |
"per_model_config": {
|
| 5 |
"prompt_encoder_mask_decoder": {
|
| 6 |
"op_types": [
|
|
|
|
| 7 |
"Gather",
|
| 8 |
+
"Expand",
|
| 9 |
+
"Not",
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
"ReduceMean",
|
| 11 |
+
"Add",
|
| 12 |
+
"Tile",
|
| 13 |
+
"ConvTranspose",
|
| 14 |
"Cast",
|
| 15 |
+
"Div",
|
| 16 |
+
"Reshape",
|
| 17 |
+
"Slice",
|
| 18 |
+
"ConstantOfShape",
|
| 19 |
+
"Unsqueeze",
|
| 20 |
+
"Sub",
|
| 21 |
"Softmax",
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
"Erf",
|
| 23 |
"Where",
|
| 24 |
+
"Pow",
|
| 25 |
+
"Equal",
|
| 26 |
+
"Shape",
|
| 27 |
+
"Concat",
|
| 28 |
"OneHot",
|
| 29 |
+
"Relu",
|
| 30 |
+
"ScatterND",
|
| 31 |
+
"Mul",
|
|
|
|
| 32 |
"MatMul",
|
| 33 |
"Sin",
|
| 34 |
+
"Transpose",
|
| 35 |
+
"Neg",
|
| 36 |
+
"Constant",
|
| 37 |
+
"Cos",
|
| 38 |
+
"Sqrt",
|
| 39 |
+
"Range"
|
| 40 |
],
|
| 41 |
"weight_type": "QInt8"
|
| 42 |
},
|
| 43 |
"vision_encoder": {
|
| 44 |
"op_types": [
|
|
|
|
| 45 |
"Gather",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 46 |
"Expand",
|
| 47 |
+
"ReduceMean",
|
| 48 |
+
"Add",
|
| 49 |
"Squeeze",
|
|
|
|
| 50 |
"Split",
|
|
|
|
|
|
|
| 51 |
"Tile",
|
| 52 |
+
"Cast",
|
| 53 |
+
"Div",
|
| 54 |
+
"Mod",
|
| 55 |
+
"Reshape",
|
| 56 |
+
"Conv",
|
| 57 |
"Einsum",
|
| 58 |
+
"Pad",
|
| 59 |
"Slice",
|
| 60 |
"Identity",
|
| 61 |
"ConstantOfShape",
|
| 62 |
+
"Unsqueeze",
|
| 63 |
+
"Sub",
|
| 64 |
+
"Softmax",
|
| 65 |
+
"Erf",
|
| 66 |
+
"Pow",
|
| 67 |
+
"Concat",
|
| 68 |
+
"Shape",
|
| 69 |
+
"Mul",
|
| 70 |
+
"MatMul",
|
| 71 |
+
"Sin",
|
| 72 |
+
"Transpose",
|
| 73 |
+
"Resize",
|
| 74 |
+
"Constant",
|
| 75 |
+
"Cos",
|
| 76 |
+
"Sqrt",
|
| 77 |
+
"Range"
|
| 78 |
],
|
| 79 |
"weight_type": "QUInt8"
|
| 80 |
}
|