pipeline: rename framework (#835)

.eslintignore

@@ -5,5 +5,3 @@ test
 pipcook_venv
 output
 example
-
-packages/boa

.github/workflows/build.yml

@@ -37,15 +37,13 @@ jobs:
         access_token: ${{ github.token }}
         exception: main
     - uses: actions/checkout@v2
-    - name: Restore node_modules and boa dependencies
+    - name: Restore node_modules
       uses: actions/cache@v2
       with:
         path: |
           node_modules
           */*/node_modules
-          packages/boa/pybind11
-          packages/boa/pyodide
-        key: ${{ runner.os }}-${{ matrix.node_version }}-nodepkg-${{ hashFiles('**/package-lock.json', 'packages/boa/pybind11/Makefile', 'packages/boa/pyodide/Makefile') }}
+        key: ${{ runner.os }}-${{ matrix.node_version }}-nodepkg-${{ hashFiles('**/package-lock.json') }}
         restore-keys: |
           ${{ runner.os }}-nodepkg-${{ matrix.node_version }}
           ${{ runner.os }}-nodepkg

docs/manual/intro-to-pipeline.md

@@ -15,7 +15,7 @@ In Pipcook, we use Pipeline to represent the training process of a model, so in
     "target": "/tmp/mobilenet-model.zip"
   }],
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 20,
       "validationRequired": true

docs/tutorials/component-image-classification.md

@@ -87,7 +87,7 @@ After the dataset is ready, we can start training. Using Pipcook can be very con
   "model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@fe00a8e/scripts/image-classification-mobilenet/build/model.js",
   "artifact": [],
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 20,
       "validationRequired": true

docs/tutorials/machine-learning-overview.md

@@ -103,7 +103,7 @@ Then define the [model script](https://github.com/imgcook/pipcook-script/blob/ma
 {
   "model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@fe00a8e/scripts/image-classification-mobilenet/build/model.js",
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 20,
       "validationRequired": true

docs/zh-cn/contributing/contribute-a-script.md

@@ -33,7 +33,7 @@ Pipcook 2.0 做了大量功能和性能优化，让开发者和用户可以以
     "target": "/home/pipcook/mobilenet-model.zip"
   }],
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 10,
       "validationRequired": true

docs/zh-cn/manual/intro-to-pipeline.md

@@ -16,7 +16,7 @@
     "target": "/tmp/mobilenet-model.zip"
   }],
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 20,
       "validationRequired": true

docs/zh-cn/tutorials/component-image-classification.md

@@ -89,7 +89,7 @@
   "model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@fe00a8e/scripts/image-classification-mobilenet/build/model.js",
   "artifact": [],
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 20,
       "validationRequired": true

docs/zh-cn/tutorials/machine-learning-overview.md

@@ -99,7 +99,7 @@ predictBookPrice('Dive into Pipcook'); // 199.0
 {
   "model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@fe00a8e/scripts/image-classification-mobilenet/build/model.js",
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 20,
       "validationRequired": true

example/pipelines/image-classification-mobilenet.json

@@ -7,7 +7,7 @@
   ],
   "model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@fe00a8e/scripts/image-classification/build/model.js",
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 10,
       "validationRequired": true

example/pipelines/image-classification-resnet.json

@@ -7,7 +7,7 @@
   ],
   "model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@fe00a8e/scripts/image-classification/build/model.js",
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 10,
       "validationRequired": true,

example/pipelines/object-detection-yolo.json

@@ -7,7 +7,7 @@
   ],
   "model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@fe00a8e/scripts/object-detection-yolo/build/model.js",
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 100,
       "validationRequired": true

notebooks/pipcook_image_classification.ipynb

@@ -177,7 +177,7 @@
         "    \"target\": \"/tmp/mobilenet-model.zip\"\n",
         "  }],\n",
         "  \"options\": {\n",
-        "    \"framework\": \"[email protected]\",\n",
+        "    \"framework\": \"[email protected]\",\n",
         "    \"train\": {\n",
         "      \"epochs\": 15,\n",
         "      \"validationRequired\": true\n",

notebooks/pipcook_object_detection.ipynb

@@ -223,7 +223,7 @@
         "  \"artifact\": [{\n",
         "  }],\n",
         "  \"options\": {\n",
-        "    \"framework\": \"[email protected]\",\n",
+        "    \"framework\": \"[email protected]\",\n",
         "    \"train\": {\n",
         "      \"epochs\": 20,\n",
         "      \"validationRequired\": true\n",

packages/core/src/runtime.ts

@@ -39,7 +39,7 @@ export type FrameworkModule = any;
 export enum TaskType { TRAIN = 1, PREDICT = 2 }
 
 /**
- * The context of script running, includes `boa` and `DataCook`.
+ * The context of script running.
  */
 export interface ScriptContext {
   /**

test/pipelines/image-classification-mobilenet.json

@@ -11,7 +11,7 @@
     "target": "/tmp/mobilenet-model.zip"
   }],
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 1,
       "validationRequired": true,

test/pipelines/image-classification-resnet.json

@@ -11,7 +11,7 @@
   }],
   "model": "https://cdn.jsdelivr.net/gh/imgcook/pipcook-script@fe00a8e/scripts/image-classification/build/model.js",
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 1,
       "validationRequired": true,

test/pipelines/object-detection-yolo.json

@@ -11,7 +11,7 @@
     "target": "/tmp/mobilenet-model.zip"
   }],
   "options": {
-    "framework": "[email protected]",
+    "framework": "[email protected]",
     "train": {
       "epochs": 1,
       "validationRequired": true