diff --git a/examples_and_demos/alexnet_demo_cpu.ipynb b/examples_and_demos/alexnet_demo_cpu.ipynb index 8aa4659c..4edd252a 100644 --- a/examples_and_demos/alexnet_demo_cpu.ipynb +++ b/examples_and_demos/alexnet_demo_cpu.ipynb @@ -38,85 +38,82 @@ "name": "stdout", "output_type": "stream", "text": [ - "\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.1\u001b[0m\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython3 -m pip install --upgrade pip\u001b[0m\n", - "\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.1\u001b[0m\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython3 -m pip install --upgrade pip\u001b[0m\n", - "\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.1\u001b[0m\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython3 -m pip install --upgrade pip\u001b[0m\n", - "fatal: destination path 'models' already exists and is not an empty directory.\n", - "Processing /workspaces/demos/examples_and_demos/models\n", + "\u001b[33mWARNING: Ignoring invalid distribution -ocutils (/opt/homebrew/lib/python3.10/site-packages)\u001b[0m\u001b[33m\n", + "\u001b[0m\u001b[33mWARNING: Ignoring invalid distribution -ocutils (/opt/homebrew/lib/python3.10/site-packages)\u001b[0m\u001b[33m\n", + "\u001b[0m\u001b[33mWARNING: Ignoring invalid distribution -ocutils (/opt/homebrew/lib/python3.10/site-packages)\u001b[0m\u001b[33m\n", + "\u001b[0m\u001b[33mWARNING: Ignoring invalid distribution -ocutils (/opt/homebrew/lib/python3.10/site-packages)\u001b[0m\u001b[33m\n", + "\u001b[0m\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "tensorflow-macos 2.15.0 requires ml-dtypes~=0.2.0, but you have ml-dtypes 0.4.0 which is incompatible.\u001b[0m\u001b[31m\n", + "\u001b[0mCloning into 'models'...\n", + "remote: Enumerating objects: 192, done.\u001b[K\n", + "remote: Counting objects: 100% (192/192), done.\u001b[K\n", + "remote: Compressing objects: 100% (156/156), done.\u001b[K\n", + "remote: Total 192 (delta 37), reused 104 (delta 13), pack-reused 0\u001b[K\n", + "Receiving objects: 100% (192/192), 1.83 MiB | 3.45 MiB/s, done.\n", + "Resolving deltas: 100% (37/37), done.\n", + "\u001b[33mWARNING: Ignoring invalid distribution -ocutils (/opt/homebrew/lib/python3.10/site-packages)\u001b[0m\u001b[33m\n", + "\u001b[0mProcessing /Users/samuelarmstrong/Documents/ivy/demos/examples_and_demos_cpu/models\n", " Preparing metadata (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25hRequirement already satisfied: ivy in 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asttokens>=2.1.0 in /opt/homebrew/lib/python3.10/site-packages (from stack-data->ipython>=5.3.0->pyvis->ivy->ivy-models==1.1.10) (2.4.1)\n", + "Requirement already satisfied: pure-eval in /opt/homebrew/lib/python3.10/site-packages (from stack-data->ipython>=5.3.0->pyvis->ivy->ivy-models==1.1.10) (0.2.2)\n", "Building wheels for collected packages: ivy-models\n", " Building wheel for ivy-models (setup.py) ... \u001b[?25ldone\n", - "\u001b[?25h Created wheel for ivy-models: filename=ivy_models-1.1.10-py3-none-any.whl size=76446 sha256=a65e1193f2e469b5b81fdf39509425aa0da649b1b6a8bce1ec3f2847e3302c6a\n", - " Stored in directory: /tmp/pip-ephem-wheel-cache-n8e295vx/wheels/56/63/c6/64212e1295b5d6b58c79e12d2eee5e2dafafa8bc0e0134d16c\n", + "\u001b[?25h Created wheel for ivy-models: filename=ivy_models-1.1.10-py3-none-any.whl size=76449 sha256=4ef86060439480c8cdd692e30d269e68540c3728a30c4a372981b0c5c0cbc214\n", + " Stored in directory: /private/var/folders/3x/7zt1qbl12mn7zq12fzzv6xh80000gn/T/pip-ephem-wheel-cache-abb7vdwj/wheels/01/2d/88/adc983ab61e1210a8d2ee2a20d1fc3d7c3e082fcdeabe25595\n", "Successfully built ivy-models\n", - "Installing collected packages: ivy-models\n", - " Attempting uninstall: ivy-models\n", - " Found existing installation: ivy-models 1.1.10\n", - " Uninstalling ivy-models-1.1.10:\n", - " Successfully uninstalled ivy-models-1.1.10\n", - "Successfully installed ivy-models-1.1.10\n", - "\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.0\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.1\u001b[0m\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython3 -m pip install --upgrade pip\u001b[0m\n" + "\u001b[33mWARNING: Ignoring invalid distribution -ocutils (/opt/homebrew/lib/python3.10/site-packages)\u001b[0m\u001b[33m\n", + "\u001b[0mInstalling collected packages: ivy-models\n", + "Successfully installed ivy-models-1.1.10\n" ] } ], @@ -126,7 +123,9 @@ "!git clone https://github.com/unifyai/models.git --depth 1\n", "\n", "# Installing models package from cloned repository! πŸ˜„\n", - "!cd models/ && pip install ." + "!cd models/ && pip install .\n", + "\n", + "exit()" ] }, { @@ -158,17 +157,30 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-06-25 06:49:43-- https://raw.githubusercontent.com/pytorch/hub/master/imagenet_classes.txt\n", - "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.111.133, 185.199.108.133, 185.199.109.133, ...\n", - "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.111.133|:443... connected.\n", - "HTTP request sent, awaiting response... 200 OK\n", - "Length: 10472 (10K) [text/plain]\n", - "Saving to: β€˜imagenet_classes.txt.2’\n", - "\n", - "imagenet_classes.tx 100%[===================>] 10.23K --.-KB/s in 0.002s \n", - "\n", - "2024-06-25 06:49:43 (6.50 MB/s) - β€˜imagenet_classes.txt.2’ saved [10472/10472]\n", - "\n" + "zsh:1: command not found: wget\n" + ] + }, + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'imagenet_classes.txt'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39msystem(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwget https://raw.githubusercontent.com/pytorch/hub/master/imagenet_classes.txt\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mimagenet_classes.txt\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[1;32m 3\u001b[0m categories \u001b[38;5;241m=\u001b[39m [s\u001b[38;5;241m.\u001b[39mstrip() \u001b[38;5;28;01mfor\u001b[39;00m s \u001b[38;5;129;01min\u001b[39;00m f\u001b[38;5;241m.\u001b[39mreadlines()]\n", + "File \u001b[0;32m/opt/homebrew/lib/python3.10/site-packages/IPython/core/interactiveshell.py:324\u001b[0m, in \u001b[0;36m_modified_open\u001b[0;34m(file, *args, **kwargs)\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m file \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m}:\n\u001b[1;32m 318\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 319\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIPython won\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt let you open fd=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m by default \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 320\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is likely to crash IPython. If you know what you are doing, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou can use builtins\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m open.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 322\u001b[0m )\n\u001b[0;32m--> 324\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'imagenet_classes.txt'" + ] + }, + { + "ename": "", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n", + "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n", + "\u001b[1;31mClick here for more info. \n", + "\u001b[1;31mView Jupyter log for further details." ] } ], @@ -180,37 +192,19 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": { "id": "h2GAB_m5puD5" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--2024-06-25 06:49:47-- https://raw.githubusercontent.com/unifyai/models/master/images/cat.jpg\n", - "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.111.133, 185.199.109.133, ...\n", - "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n", - "HTTP request sent, awaiting response... 200 OK\n", - "Length: 634575 (620K) [image/jpeg]\n", - "Saving to: β€˜cat.jpg.2’\n", - "\n", - "cat.jpg.2 100%[===================>] 619.70K 2.83MB/s in 0.2s \n", - "\n", - "2024-06-25 06:49:47 (2.83 MB/s) - β€˜cat.jpg.2’ saved [634575/634575]\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "!wget https://raw.githubusercontent.com/unifyai/models/master/images/cat.jpg\n", - "filename = \"cat.jpg\"\n" + "filename = \"cat.jpg\"" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": { "id": "h9wqmWi3pusC" }, @@ -244,7 +238,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -290,34 +284,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { "id": "jxCOosEqsxx4" }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Cleaning up existing binaries --> done\n", - "Downloading new binaries...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 132/132 [02:05<00:00, 1.05it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Downloaded all binaries!\n" - ] - } - ], + "outputs": [], "source": [ "import ivy\n", "ivy.set_soft_device_mode(True)\n", @@ -338,27 +309,11 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": { "id": "cGAW-CxisO2Q" }, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'astor'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m/workspaces/demos/examples_and_demos/alexnet_demo_cpu.ipynb Cell 14\u001b[0m line \u001b[0;36m1\n\u001b[0;32m----> 1\u001b[0m ivy_alexnet \u001b[39m=\u001b[39m ivy\u001b[39m.\u001b[39;49mtrace_graph(ivy_alexnet, args\u001b[39m=\u001b[39;49m(ivy\u001b[39m.\u001b[39;49masarray(torch_img),))\n", - "File \u001b[0;32m/workspaces/demos/ivy/ivy/compiler/compiler.py:129\u001b[0m, in \u001b[0;36mtrace_graph\u001b[0;34m(stateful, arg_stateful_idxs, kwarg_stateful_idxs, to, include_generators, array_caching, with_numpy, modes_to_trace, backend_compile, static_argnums, static_argnames, compile_mode, graph_caching, args, kwargs, params_v, v, *objs)\u001b[0m\n\u001b[1;32m 37\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mtrace_graph\u001b[39m(\n\u001b[1;32m 38\u001b[0m \u001b[39m*\u001b[39mobjs: Callable,\n\u001b[1;32m 39\u001b[0m stateful: Optional[List] \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 55\u001b[0m v\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m\n\u001b[1;32m 56\u001b[0m ):\n\u001b[1;32m 57\u001b[0m \u001b[39m \u001b[39m\u001b[39m\"\"\"Takes `fn` and traces it into a more efficient composition of backend operations.\u001b[39;00m\n\u001b[1;32m 58\u001b[0m \n\u001b[1;32m 59\u001b[0m \u001b[39m Parameters\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[39m >>> print(time.time() - start)\u001b[39;00m\n\u001b[1;32m 127\u001b[0m \u001b[39m 0.0001785755157470703\"\"\"\u001b[39;00m\n\u001b[0;32m--> 129\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39m_compiler\u001b[39;00m \u001b[39mimport\u001b[39;00m trace_graph \u001b[39mas\u001b[39;00m _trace_graph\n\u001b[1;32m 131\u001b[0m \u001b[39mreturn\u001b[39;00m _trace_graph(\n\u001b[1;32m 132\u001b[0m \u001b[39m*\u001b[39mobjs,\n\u001b[1;32m 133\u001b[0m stateful\u001b[39m=\u001b[39mstateful,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 149\u001b[0m v\u001b[39m=\u001b[39mv,\n\u001b[1;32m 150\u001b[0m )\n", - "File \u001b[0;32m_compiler.pyx:142\u001b[0m, in \u001b[0;36minit combined_source._compiler\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32m_compiler.pyx:76\u001b[0m, in \u001b[0;36mcombined_source._compiler\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32mIXV.pyx:9\u001b[0m, in \u001b[0;36minit IXV\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'astor'" - ] - } - ], + "outputs": [], "source": [ "ivy_alexnet = ivy.trace_graph(ivy_alexnet, args=(ivy.asarray(torch_img),))" ] diff --git a/examples_and_demos/image_segmentation_with_ivy_unet_cpu.ipynb b/examples_and_demos/image_segmentation_with_ivy_unet_cpu.ipynb index fbf5ed4d..82420453 100644 --- a/examples_and_demos/image_segmentation_with_ivy_unet_cpu.ipynb +++ b/examples_and_demos/image_segmentation_with_ivy_unet_cpu.ipynb @@ -37,7 +37,9 @@ "!git clone https://github.com/unifyai/models.git --depth 1\n", "\n", "# Installing models package from cloned repository! πŸ˜„\n", - "!cd models/ && pip install .\n" + "!cd models/ && pip install .\n", + "\n", + "exit()" ] }, { diff --git a/examples_and_demos/resnet_demo_cpu.ipynb b/examples_and_demos/resnet_demo_cpu.ipynb index e0a2cfa8..7f344f7d 100644 --- a/examples_and_demos/resnet_demo_cpu.ipynb +++ b/examples_and_demos/resnet_demo_cpu.ipynb @@ -47,7 +47,9 @@ "# Installing models package from cloned repository! πŸ˜„\n", "!cd models/ && pip install .\n", "\n", - "!python3 -m pip install torchvision\n" + "!python3 -m pip install torchvision\n", + "\n", + "exit()" ] }, {