main.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bring in the RLBench BC data from the saved hdf5 data files for each task. The task files were created with the instructRL/data/collect_data.py script. The task files include an array of data samples.  Each sample is a dict that includes the following keys:\n",
    "\n",
    "* image - data for 4 camera positions: front_rgb, left_shoulder_rgb, right_shoulder_rgb, wrist_rgb\n",
    "* instruct - the text instruction\n",
    "* action - the action vector: [p;q;g] where for RLBench the gripper state is a single scalar open or closed [1,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.nn import TransformerDecoder, TransformerDecoderLayer\n",
    "from getdata import RLBenchDataset\n",
    "import torch\n",
    "import time\n",
    "import numpy as np\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch import nn, Tensor\n",
    "import math\n",
    "\n",
    "class PositionalEncoding(nn.Module):\n",
    "\n",
    "    def __init__(self, d_model: int, dropout: float = 0.1, max_len: int = 500):\n",
    "        super().__init__()\n",
    "        self.dropout = nn.Dropout(p=dropout)\n",
    "\n",
    "        position = torch.arange(max_len).unsqueeze(1)\n",
    "        div_term = torch.exp(torch.arange(0, d_model, 2) * (-math.log(10000.0) / d_model))\n",
    "        pe = torch.zeros(1, max_len, d_model)\n",
    "        # even indices are sine, odd indices are cosine\n",
    "        pe[0, :, 0::2] = torch.sin(position * div_term)\n",
    "        pe[0, :, 1::2] = torch.cos(position * div_term)\n",
    "        self.register_buffer('pe', pe)\n",
    "\n",
    "    def forward(self, x: Tensor) -> Tensor:\n",
    "        \"\"\"\n",
    "        Arguments:\n",
    "            x: Tensor, shape ``[ batch_size, seq_len, embedding_dim]``\n",
    "        \"\"\"\n",
    "        x = x + self.pe[:, :x.size(1)]\n",
    "        return self.dropout(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "class ActionDecoderModel(nn.Module):\n",
    "\n",
    "    def __init__(self, action_dim: int, d_model: int, nhead: int, d_hid: int,\n",
    "                 nlayers: int, dropout: float = 0.5, action_seq_len: int = 5,\n",
    "                 mem_seq_len: int = 5, test_mode=False):\n",
    "        super().__init__()\n",
    "        self.pos_encoder = PositionalEncoding(d_model, dropout=0, max_len=action_seq_len).cuda()\n",
    "        decoder_layer = TransformerDecoderLayer(d_model, nhead, d_hid, dropout, batch_first=True).cuda()\n",
    "        self.transformer_decoder = TransformerDecoder(decoder_layer, nlayers).cuda()\n",
    "        self.d_model = d_model\n",
    "        self.linear_action_in = nn.Linear(action_dim, d_model).cuda()\n",
    "        # The output of the transformer decoder is a sequence of length action_seq_len-1 because it doesn't have sos token\n",
    "        self.linear_action_out = nn.Linear(d_model, action_dim).cuda()\n",
    "        self.test_mode = test_mode\n",
    "        \n",
    "\n",
    "    def forward(self, actions: Tensor, memory: Tensor) -> Tensor:\n",
    "        \"\"\"\n",
    "        actions: [batch_size, action_seq_len, action_dim]\n",
    "        memory: [batch_size, mem_seq_len, d_model]\n",
    "        \"\"\"\n",
    "        actions = self.linear_action_in(actions)\n",
    "        actions = self.pos_encoder(actions)\n",
    "\n",
    "        if self.test_mode:\n",
    "            # If mixing tasks, then we will need padding masks in the batch\n",
    "            output = self.transformer_decoder(\n",
    "                tgt=actions, \n",
    "                memory=memory\n",
    "                )\n",
    "            \n",
    "        else:\n",
    "            tgt_mask = nn.Transformer.generate_square_subsequent_mask(actions.size(1)).cuda()\n",
    "            # causal memory mask to prevent attending to future actions of size mem_seq_len x action_seq_len upper triangular part should be True (is masked)\n",
    "            mem_mask = torch.triu(torch.ones(actions.size(1), memory.size(1)), diagonal=1).bool().cuda()\n",
    "            \n",
    "            # If mixing tasks, then we will need padding masks in the batch\n",
    "            output = self.transformer_decoder(\n",
    "                tgt=actions, \n",
    "                memory=memory, \n",
    "                tgt_mask=tgt_mask,\n",
    "                memory_mask=mem_mask\n",
    "                )\n",
    "\n",
    "\n",
    "        output = self.linear_action_out(output)\n",
    "        return output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n",
    "# Read in the RLBench training data.  The RLBenchDataset class is a subclass of the PyTorch Dataset class.\n",
    "batch_size = 50\n",
    "task_name = \"reach_target\"\n",
    "# Load the training dataset and create a PyTorch DataLoader object.\n",
    "train_dataset = RLBenchDataset(\n",
    "    update=None,\n",
    "    dataset_name=task_name,\n",
    "    start_offset_ratio=None,\n",
    "    split=\"train\",\n",
    ")\n",
    "\n",
    "train_loader = torch.utils.data.DataLoader(    \n",
    "    dataset=train_dataset, \n",
    "    batch_size=batch_size, \n",
    "    shuffle=True, \n",
    "    num_workers=2)\n",
    "\n",
    "# Load the validation dataset and create a PyTorch DataLoader object.\n",
    "val_dataset = RLBenchDataset(\n",
    "    update=None,\n",
    "    dataset_name=task_name,\n",
    "    start_offset_ratio=None,\n",
    "    split=\"val\",\n",
    ")\n",
    "\n",
    "val_loader = torch.utils.data.DataLoader(\n",
    "    dataset=val_dataset, \n",
    "    batch_size=batch_size, \n",
    "    shuffle=True, \n",
    "    num_workers=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training dataset batch info:\n",
      "action: torch.Size([50, 3, 8])\n",
      "encoder_emb: torch.Size([50, 2, 768])\n",
      "target: torch.Size([50, 2, 8])\n",
      "num batches: 23\n",
      "Val dataset batch info:\n",
      "action: torch.Size([50, 3, 8])\n",
      "encoder_emb: torch.Size([50, 2, 768])\n",
      "target: torch.Size([50, 2, 8])\n",
      "num batches: 9\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "print(f\"Training dataset batch info:\")\n",
    "for i, (data, target) in enumerate(train_loader):\n",
    "    print(\"action:\", data['action'].shape)\n",
    "    print(\"encoder_emb:\", data['encoder_emb'].shape)\n",
    "    print(\"target:\", target.shape)\n",
    "    break\n",
    "print(\"num batches: \" + str(len(train_loader)))\n",
    "\n",
    "print(f\"Val dataset batch info:\")\n",
    "for i, (data, target) in enumerate(val_loader):\n",
    "    print(\"action:\", data['action'].shape)\n",
    "    print(\"encoder_emb:\", data['encoder_emb'].shape)\n",
    "    print(\"target:\", target.shape)\n",
    "    break\n",
    "print(\"num batches: \" + str(len(val_loader)))\n",
    "print(data['action'].shape[1])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# max number of tokens in encoder embeddings for the training tasks in a batch. Can be constant if all same task, otherwise needs to be computed. Also determines whether a padding mask must be applied.  Determines the size of the causal mask and max\n",
    "# max sequence length of the decoder action sequence and target output sequence. Decoder input size is seq_len + 2 to account for the start of sequence (sos) and end of sequence (eos) tokens.\n",
    "action_seq_len = data['action'].shape[1]  # sos + action + eos, will need batch padding when mixing tasks\n",
    "obs_seq_len = data['encoder_emb'].shape[1] \n",
    "\n",
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "action_dim = 8 # feature length of the action vector [p;q;g]\n",
    "mm_dim = 768  # embedding dimension of the encoder (768,)\n",
    "d_hid = 768  # dimension of the feedforward network model in ``nn.TransformerDecoder``\n",
    "nlayers = 6  # number of nn.TransformerDecoderLayer in nn.TransformerDecoder\n",
    "nhead = 6  # number of attention heads in nn.MultiheadAttention\n",
    "dropout = 0.2  # dropout probability\n",
    "model = ActionDecoderModel(\n",
    "    action_dim=action_dim, \n",
    "    d_model = mm_dim, \n",
    "    nhead = nhead, \n",
    "    d_hid = d_hid, \n",
    "    nlayers = nlayers, \n",
    "    dropout = dropout, \n",
    "    action_seq_len = action_seq_len,\n",
    "    mem_seq_len = obs_seq_len,\n",
    "    ).cuda()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model is on cuda:0\n"
     ]
    }
   ],
   "source": [
    "# print whether model is on GPU or CPU\n",
    "print(f\"Model is on {next(model.parameters()).device}\")\n",
    "\n",
    "# Display the model architecture and number of trainable parameters\n",
    "#print(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "loss_fn = nn.MSELoss(\n",
    "    reduction='mean'\n",
    ")\n",
    "optimizer = torch.optim.Adam(\n",
    "    model.parameters(),\n",
    "    lr=0.0001,\n",
    "    betas=(0.9, 0.999),\n",
    ")\n",
    "scheduler = torch.optim.lr_scheduler.ExponentialLR(\n",
    "    optimizer, \n",
    "    gamma=0.7,\n",
    "    verbose=False\n",
    ")\n",
    "\n",
    "epochs = 50 # The number of epochs\n",
    "\n",
    "# Create a 2D array of zeros to store the training loss for each epoch x batch.\n",
    "train_loss_buf = np.zeros((epochs, len(train_loader)))\n",
    "def train(model: nn.Module) -> None:\n",
    "    model.train()\n",
    "    log_interval_loss = 0.\n",
    "    start_time = time.time()\n",
    "\n",
    "    for i, (batch, targets) in enumerate(train_loader):\n",
    "        \n",
    "        encoder_embeddings = batch['encoder_emb'].cuda()\n",
    "        action_inputs = batch['action'].cuda()\n",
    "        optimizer.zero_grad()\n",
    "        outputs = model(actions=action_inputs, memory=encoder_embeddings)\n",
    "        targets = torch.squeeze(targets).cuda()\n",
    "        # Compare target sequence to output sequence, ignoring the output token after the eos token\n",
    "        batch_train_loss = loss_fn(outputs[:,:-1,:], targets)\n",
    "        batch_train_loss.backward()\n",
    "        torch.nn.utils.clip_grad_norm_(model.parameters(), 0.5)\n",
    "        optimizer.step()\n",
    "\n",
    "        log_interval_loss += batch_train_loss.item()\n",
    "        train_loss_buf[epoch, i] = batch_train_loss.item()\n",
    "        log_interval = 10\n",
    "        if i % log_interval == 0 and i > 0:\n",
    "            cur_loss = log_interval_loss / log_interval\n",
    "            elapsed = time.time() - start_time\n",
    "            # print(f'| epoch: {epoch:3d} | {i+1:5d}/{len(train_loader):5d} batches | '\n",
    "            #       f'lr: {scheduler.get_last_lr()[0]:02.3f} | ms/batch: {elapsed * 1000 / log_interval:5.2f} | '\n",
    "            #       f'log batch loss: {log_interval_loss:1.5f} | ')\n",
    "            log_interval_loss = 0\n",
    "            start_time = time.time()\n",
    "        \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "val_loss_buf = np.zeros((epochs, len(val_loader)))\n",
    "def evaluate(model: nn.Module, val_loader: iter) -> float:\n",
    "    model.eval()  # turn on evaluation mode    \n",
    "    with torch.no_grad():\n",
    "        for i, (batch, targets) in enumerate(val_loader):\n",
    "            encoder_embeddings = batch['encoder_emb'].cuda()\n",
    "            action_inputs = batch['action'].cuda()\n",
    "            targets = torch.squeeze(targets).cuda()\n",
    "            outputs = model(actions=action_inputs, memory=encoder_embeddings)\n",
    "            batch_val_loss = loss_fn(outputs[:,:-1,:], targets)\n",
    "            val_loss_buf[epoch, i] = batch_val_loss.item()\n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   0 | epoc time:  3.14s \n",
      "train loss: 0.0149\n",
      "valid loss: 0.0087\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   1 | epoc time:  3.23s \n",
      "train loss: 0.0137\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   2 | epoc time:  3.14s \n",
      "train loss: 0.0128\n",
      "valid loss: 0.0074\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   3 | epoc time:  3.23s \n",
      "train loss: 0.0125\n",
      "valid loss: 0.0090\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   4 | epoc time:  3.32s \n",
      "train loss: 0.0127\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   5 | epoc time:  3.30s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0082\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   6 | epoc time:  3.47s \n",
      "train loss: 0.0124\n",
      "valid loss: 0.0082\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   7 | epoc time:  3.38s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   8 | epoc time:  3.35s \n",
      "train loss: 0.0125\n",
      "valid loss: 0.0080\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:   9 | epoc time:  3.30s \n",
      "train loss: 0.0122\n",
      "valid loss: 0.0082\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  10 | epoc time:  3.24s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0082\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  11 | epoc time:  3.28s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  12 | epoc time:  3.32s \n",
      "train loss: 0.0117\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  13 | epoc time:  3.33s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  14 | epoc time:  3.41s \n",
      "train loss: 0.0124\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  15 | epoc time:  3.34s \n",
      "train loss: 0.0126\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  16 | epoc time:  3.37s \n",
      "train loss: 0.0117\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  17 | epoc time:  3.26s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  18 | epoc time:  3.33s \n",
      "train loss: 0.0119\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  19 | epoc time:  3.99s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  20 | epoc time:  4.30s \n",
      "train loss: 0.0117\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  21 | epoc time:  4.09s \n",
      "train loss: 0.0123\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  22 | epoc time:  3.76s \n",
      "train loss: 0.0123\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  23 | epoc time:  3.78s \n",
      "train loss: 0.0124\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  24 | epoc time:  5.41s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0082\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  25 | epoc time:  4.51s \n",
      "train loss: 0.0126\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  26 | epoc time:  4.39s \n",
      "train loss: 0.0137\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  27 | epoc time:  3.51s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  28 | epoc time:  3.43s \n",
      "train loss: 0.0117\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  29 | epoc time:  3.59s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  30 | epoc time:  4.42s \n",
      "train loss: 0.0119\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  31 | epoc time:  4.22s \n",
      "train loss: 0.0119\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  32 | epoc time:  7.01s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  33 | epoc time: 12.72s \n",
      "train loss: 0.0117\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  34 | epoc time: 14.38s \n",
      "train loss: 0.0119\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  35 | epoc time:  6.91s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  36 | epoc time:  4.07s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  37 | epoc time:  5.01s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  38 | epoc time:  3.43s \n",
      "train loss: 0.0124\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  39 | epoc time:  3.46s \n",
      "train loss: 0.0138\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  40 | epoc time:  3.47s \n",
      "train loss: 0.0118\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  41 | epoc time:  3.44s \n",
      "train loss: 0.0117\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  42 | epoc time:  3.59s \n",
      "train loss: 0.0118\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  43 | epoc time:  3.85s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  44 | epoc time:  5.77s \n",
      "train loss: 0.0119\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  45 | epoc time: 13.12s \n",
      "train loss: 0.0119\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch:  46 | epoc time: 13.22s \n",
      "train loss: 0.0119\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
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      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 287 | epoc time:  3.51s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 288 | epoc time: 11.33s \n",
      "train loss: 0.0119\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 289 | epoc time: 13.32s \n",
      "train loss: 0.0117\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 290 | epoc time:  7.78s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 291 | epoc time:  3.48s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 292 | epoc time:  3.43s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 293 | epoc time:  3.47s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 294 | epoc time:  3.31s \n",
      "train loss: 0.0119\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 295 | epoc time:  3.36s \n",
      "train loss: 0.0122\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 296 | epoc time:  3.34s \n",
      "train loss: 0.0115\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 297 | epoc time:  3.40s \n",
      "train loss: 0.0121\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 298 | epoc time:  3.31s \n",
      "train loss: 0.0120\n",
      "valid loss: 0.0082\n",
      "-----------------------------------------------------------------------------------------\n",
      "-----------------------------------------------------------------------------------------\n",
      "end of epoch: 299 | epoc time:  3.27s \n",
      "train loss: 0.0123\n",
      "valid loss: 0.0081\n",
      "-----------------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "\n",
    "for epoch in range(epochs):\n",
    "        epoch_start_time = time.time()\n",
    "        train(model)\n",
    "        evaluate(model, val_loader)\n",
    "        scheduler.step()\n",
    "        elapsed = time.time() - epoch_start_time\n",
    "        print('-' * 89)\n",
    "        print(f'end of epoch: {epoch:3d} | epoc time: {elapsed:5.2f}s ')\n",
    "        # print the total training and validation loss for the epoch\n",
    "        print(f'train loss: {train_loss_buf[epoch,:].mean():5.4f}')              \n",
    "        print(f'valid loss: {val_loss_buf[epoch,:].mean():5.4f}')\n",
    "        print('-' * 89)\n",
    "        \n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "SAVE_MODEL = False\n",
    "\n",
    "# Model path with date suffix\n",
    "datestr = datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\")\n",
    "MODEL_PATH = f\"/home/levi/data/action_decoder_model_{datestr}.pt\"\n",
    "if SAVE_MODEL:\n",
    "    torch.save(model, MODEL_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the training loss for each epoch\n",
    "\n",
    "plt.plot(np.vstack((np.mean(train_loss_buf, axis=1), np.mean(val_loss_buf, axis=1))).T)\n",
    "# set the x axis tick labels to be the epoch numbers\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Ave Loss')\n",
    "\n",
    "# add a legend\n",
    "plt.legend(['Training Loss', 'Validation Loss'])\n",
    "plt.show()\n",
    "\n",
    "\n",
    "plt.clf()\n",
    "plt.plot(np.log(np.vstack((np.mean(train_loss_buf, axis=1), np.mean(val_loss_buf, axis=1))).T))\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Ave Log-Loss')\n",
    "\n",
    "# add a legend\n",
    "plt.legend(['Training Loss', 'Validation Loss'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now lets connect the current model to RLBench to step through the task and evaluate how often it receives a reward in the task.\n",
    "from rlbench.action_modes.action_mode import MoveArmThenGripper\n",
    "from rlbench.action_modes.arm_action_modes import EndEffectorPoseViaPlanning\n",
    "from rlbench.action_modes.gripper_action_modes import Discrete\n",
    "from rlbench.environment import Environment\n",
    "from rlbench.observation_config import ObservationConfig\n",
    "from rlbench.tasks import FS10_V1, ReachTarget, PickUpCup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/levi/code/flava-action-xformer/.venv/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "from transformers import FlavaProcessor, FlavaModel\n",
    "import numpy as np\n",
    "import torch\n",
    "\n",
    "class SlowAgent(object):\n",
    "    \"\"\"\n",
    "    Agent that uses task description and observation to infer FLAVA autoencoder embeddings and then \n",
    "    predict the next action with the provided decoder autoregressively.\n",
    "    \n",
    "    \"\"\"\n",
    "\n",
    "    def __init__(self, decoder_model):\n",
    "        self.action_shape = (8,)        \n",
    "        self.encoder_emb = np.empty((1,0,768),dtype=np.float32)\n",
    "        \n",
    "        # begin with the sos token\n",
    "        sos = torch.from_numpy(np.zeros((1,1,self.action_shape[0]), dtype=np.float32)).cuda()\n",
    "        sos[0,0,0::2] = -1 # even values are -1\n",
    "        self.decoder_actions = sos\n",
    "        # Retrieve the Flava model and processor\n",
    "        self.flava_model = FlavaModel.from_pretrained('facebook/flava-full')\n",
    "        self.flava_processor = FlavaProcessor.from_pretrained('facebook/flava-full')\n",
    "        self.action_decoder_model = decoder_model\n",
    "\n",
    "\n",
    "    def get_flava_embeddings(self, img, instruction):\n",
    "        # Convert the observation and instruction into a batch of inputs for the Flava model\n",
    "        inputs = self.flava_processor(img, instruction, return_tensors=\"pt\", padding=\"max_length\", max_length=197, return_codebook_pixels=False, return_image_mask=False)\n",
    "        # Pass the inputs through the Flava model\n",
    "        outputs = self.flava_model(**inputs)\n",
    "        # Retrieve the multimodal embeddings from the Flava model outputs\n",
    "        multimodal_embeddings = outputs.multimodal_embeddings.detach().numpy()\n",
    "        return multimodal_embeddings\n",
    "    \n",
    "    def act(self, img, instruction):        \n",
    "        # Here we are submitting on image and one instruction at a time in an autoregressive fashion\n",
    "        encoder_emb = self.get_flava_embeddings(img, instruction).squeeze()\n",
    "        # Apply mean pooling to the encoder embeddings to get a single embedding for the observation\n",
    "        mean_pool_emb = np.mean(encoder_emb, axis=0, dtype=np.float32).reshape(1,1,-1)\n",
    "        # Concatenate the mean pooled embedding to the encoder embeddings\n",
    "        self.encoder_emb = np.concatenate((self.encoder_emb, mean_pool_emb), axis=1)\n",
    "\n",
    "        self.action_decoder_model.eval()  # turn on evaluation mode    \n",
    "        memory_emb = torch.from_numpy(self.encoder_emb).cuda()\n",
    "        with torch.no_grad():\n",
    "            # Get the decoder action from the action decoder model\n",
    "            decoder_action = self.action_decoder_model(actions=self.decoder_actions, memory=memory_emb) \n",
    "            # Normalize the quaternion values\n",
    "            decoder_action[0,0,3:7] = decoder_action[0,0,3:7] / torch.norm(decoder_action[0,0,3:7])           \n",
    "            # Add the action to the decoder actions\n",
    "            self.decoder_actions = torch.cat((self.decoder_actions, decoder_action), dim=1)\n",
    "        return decoder_action.detach().cpu().numpy().squeeze()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "obs_config = ObservationConfig()\n",
    "obs_config.set_all(True)\n",
    "\n",
    "env = Environment(\n",
    "    action_mode=MoveArmThenGripper(\n",
    "        arm_action_mode=EndEffectorPoseViaPlanning(absolute_mode=True), gripper_action_mode=Discrete()),\n",
    "    obs_config=ObservationConfig(),\n",
    "    headless=False)\n",
    "env.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "`text_config_dict` is provided which will be used to initialize `FlavaTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
      "`multimodal_config_dict` is provided which will be used to initialize `FlavaMultimodalConfig`. The value `multimodal_config[\"id2label\"]` will be overriden.\n",
      "`image_codebook_config_dict` is provided which will be used to initialize `FlavaImageCodebookConfig`. The value `image_codebook_config[\"id2label\"]` will be overriden.\n",
      "Some weights of the model checkpoint at facebook/flava-full were not used when initializing FlavaModel: ['mmm_image_head.transform.dense.bias', 'image_codebook.blocks.group_4.group.block_2.res_path.path.conv_2.bias', 'image_codebook.blocks.group_1.group.block_2.res_path.path.conv_3.weight', 'itm_head.pooler.dense.weight', 'image_codebook.blocks.group_3.group.block_1.res_path.path.conv_2.weight', 'image_codebook.blocks.group_4.group.block_1.res_path.path.conv_3.bias', 'image_codebook.blocks.group_2.group.block_1.res_path.path.conv_3.weight', 'mmm_image_head.decoder.weight', 'image_codebook.blocks.group_1.group.block_1.res_path.path.conv_3.bias', 'image_codebook.blocks.group_2.group.block_2.res_path.path.conv_2.weight', 'mim_head.transform.dense.bias', 'image_codebook.blocks.group_1.group.block_1.res_path.path.conv_4.bias', 'image_codebook.blocks.group_2.group.block_2.res_path.path.conv_4.bias', 'image_codebook.blocks.group_2.group.block_1.id_path.bias', 'image_codebook.blocks.group_2.group.block_1.res_path.path.conv_3.bias', 'itm_head.pooler.dense.bias', 'image_codebook.blocks.group_4.group.block_1.res_path.path.conv_4.bias', 'image_codebook.blocks.group_4.group.block_1.res_path.path.conv_1.bias', 'image_codebook.blocks.group_2.group.block_1.id_path.weight', 'image_codebook.blocks.group_3.group.block_2.res_path.path.conv_3.bias', 'image_codebook.blocks.input.bias', 'image_codebook.blocks.group_1.group.block_1.res_path.path.conv_2.weight', 'mlm_head.bias', 'image_codebook.blocks.group_4.group.block_1.res_path.path.conv_4.weight', 'mmm_image_head.transform.LayerNorm.weight', 'image_codebook.blocks.group_3.group.block_1.res_path.path.conv_4.weight', 'image_codebook.blocks.group_3.group.block_2.res_path.path.conv_1.bias', 'mim_head.bias', 'image_codebook.blocks.group_3.group.block_1.res_path.path.conv_2.bias', 'image_codebook.blocks.group_2.group.block_2.res_path.path.conv_2.bias', 'image_codebook.blocks.group_4.group.block_1.res_path.path.conv_2.weight', 'image_codebook.blocks.group_1.group.block_2.res_path.path.conv_4.bias', 'mmm_text_head.transform.dense.bias', 'image_codebook.blocks.group_4.group.block_1.id_path.bias', 'mmm_text_head.transform.LayerNorm.bias', 'image_codebook.blocks.output.conv.bias', 'image_codebook.blocks.group_4.group.block_1.res_path.path.conv_3.weight', 'image_codebook.blocks.group_3.group.block_2.res_path.path.conv_2.bias', 'mmm_image_head.bias', 'image_codebook.blocks.group_2.group.block_1.res_path.path.conv_2.weight', 'image_codebook.blocks.group_1.group.block_1.res_path.path.conv_4.weight', 'image_codebook.blocks.group_2.group.block_1.res_path.path.conv_2.bias', 'image_codebook.blocks.group_3.group.block_2.res_path.path.conv_3.weight', 'mim_head.decoder.weight', 'mlm_head.decoder.weight', 'mlm_head.transform.dense.bias', 'image_codebook.blocks.input.weight', 'mlm_head.transform.LayerNorm.bias', 'mmm_text_head.decoder.weight', 'image_codebook.blocks.group_3.group.block_1.id_path.bias', 'image_codebook.blocks.group_3.group.block_1.id_path.weight', 'mmm_text_head.decoder.bias', 'image_codebook.blocks.group_4.group.block_2.res_path.path.conv_3.weight', 'image_codebook.blocks.group_4.group.block_2.res_path.path.conv_3.bias', 'mim_head.transform.LayerNorm.weight', 'image_codebook.blocks.group_3.group.block_1.res_path.path.conv_3.weight', 'image_codebook.blocks.group_2.group.block_2.res_path.path.conv_1.bias', 'image_codebook.blocks.output.conv.weight', 'image_codebook.blocks.group_2.group.block_1.res_path.path.conv_1.bias', 'image_codebook.blocks.group_3.group.block_1.res_path.path.conv_3.bias', 'mim_head.transform.LayerNorm.bias', 'mmm_text_head.transform.dense.weight', 'mmm_image_head.decoder.bias', 'mlm_head.decoder.bias', 'image_codebook.blocks.group_4.group.block_1.id_path.weight', 'mlm_head.transform.LayerNorm.weight', 'image_codebook.blocks.group_1.group.block_1.res_path.path.conv_1.weight', 'image_codebook.blocks.group_3.group.block_1.res_path.path.conv_1.weight', 'image_codebook.blocks.group_3.group.block_2.res_path.path.conv_4.bias', 'image_codebook.blocks.group_1.group.block_2.res_path.path.conv_1.weight', 'itm_head.seq_relationship.weight', 'image_codebook.blocks.group_2.group.block_2.res_path.path.conv_3.bias', 'image_codebook.blocks.group_2.group.block_2.res_path.path.conv_3.weight', 'image_codebook.blocks.group_2.group.block_1.res_path.path.conv_4.weight', 'image_codebook.blocks.group_4.group.block_2.res_path.path.conv_4.bias', 'image_codebook.blocks.group_1.group.block_1.res_path.path.conv_2.bias', 'mmm_text_head.bias', 'image_codebook.blocks.group_4.group.block_1.res_path.path.conv_1.weight', 'image_codebook.blocks.group_4.group.block_2.res_path.path.conv_4.weight', 'image_codebook.blocks.group_2.group.block_1.res_path.path.conv_1.weight', 'image_codebook.blocks.group_1.group.block_2.res_path.path.conv_4.weight', 'image_codebook.blocks.group_2.group.block_2.res_path.path.conv_4.weight', 'image_codebook.blocks.group_4.group.block_2.res_path.path.conv_1.bias', 'image_codebook.blocks.group_4.group.block_2.res_path.path.conv_1.weight', 'image_codebook.blocks.group_1.group.block_1.res_path.path.conv_1.bias', 'mlm_head.transform.dense.weight', 'image_codebook.blocks.group_2.group.block_2.res_path.path.conv_1.weight', 'image_codebook.blocks.group_3.group.block_2.res_path.path.conv_2.weight', 'mmm_image_head.transform.dense.weight', 'itm_head.seq_relationship.bias', 'image_codebook.blocks.group_4.group.block_2.res_path.path.conv_2.weight', 'image_codebook.blocks.group_1.group.block_2.res_path.path.conv_1.bias', 'mim_head.transform.dense.weight', 'image_codebook.blocks.group_2.group.block_1.res_path.path.conv_4.bias', 'image_codebook.blocks.group_4.group.block_1.res_path.path.conv_2.bias', 'image_codebook.blocks.group_3.group.block_1.res_path.path.conv_1.bias', 'image_codebook.blocks.group_3.group.block_2.res_path.path.conv_1.weight', 'image_codebook.blocks.group_1.group.block_2.res_path.path.conv_2.weight', 'mim_head.decoder.bias', 'mmm_text_head.transform.LayerNorm.weight', 'image_codebook.blocks.group_1.group.block_2.res_path.path.conv_2.bias', 'image_codebook.blocks.group_3.group.block_1.res_path.path.conv_4.bias', 'image_codebook.blocks.group_1.group.block_2.res_path.path.conv_3.bias', 'image_codebook.blocks.group_1.group.block_1.res_path.path.conv_3.weight', 'image_codebook.blocks.group_3.group.block_2.res_path.path.conv_4.weight', 'mmm_image_head.transform.LayerNorm.bias']\n",
      "- This IS expected if you are initializing FlavaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing FlavaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "touch the red ball with the panda gripper\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the agent\n",
    "agent = SlowAgent(decoder_model=model)\n",
    "# Get the task\n",
    "task = env.get_task(ReachTarget)\n",
    "# Reset the task\n",
    "descriptions, obs = task.reset()\n",
    "instruction = descriptions[1]\n",
    "print(instruction)\n",
    "plt.imshow(obs.front_rgb)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "action: [ 0.29393977  0.10301365  1.0751342   0.00312696 -0.999862    0.01159936\n",
      "  0.01146805  1.059511  ]\n",
      "Step: 0 Reward: 0.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Take steps in the task and print the reward\n",
    "for i in range(1):\n",
    "    action = agent.act(obs.front_rgb, instruction)\n",
    "    print(f'action: {action}')\n",
    "    if action[0] > 0:\n",
    "        obs, reward, terminate = task.step(action)\n",
    "        print(f'Step: {i} Reward: {reward}')\n",
    "    else:\n",
    "        print(\"No action taken\")\n",
    "        break\n",
    "    plt.imshow(obs.front_rgb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[CoppeliaSim:loadinfo]   done.\n"
     ]
    }
   ],
   "source": [
    "env.shutdown()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}