From c0b79f410b7e4589e2815d18ec52c97f00945033 Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Wed, 26 Jun 2024 08:16:13 -0400 Subject: [PATCH 01/12] blog: tp --- blog/tp/README.md | 11 +++ blog/tp/act_mem.py | 127 ++++++++++++++++++++++++ blog/tp/attn_script.py | 30 ++++++ blog/tp/block_script.py | 44 +++++++++ blog/tp/layers.py | 155 ++++++++++++++++++++++++++++++ blog/tp/mlp_script.py | 44 +++++++++ blog/tp/requirements.txt | 14 +++ blog/tp/test.py | 203 +++++++++++++++++++++++++++++++++++++++ 8 files changed, 628 insertions(+) create mode 100644 blog/tp/README.md create mode 100644 blog/tp/act_mem.py create mode 100644 blog/tp/attn_script.py create mode 100644 blog/tp/block_script.py create mode 100644 blog/tp/layers.py create mode 100644 blog/tp/mlp_script.py create mode 100644 blog/tp/requirements.txt create mode 100644 blog/tp/test.py diff --git a/blog/tp/README.md b/blog/tp/README.md new file mode 100644 index 0000000..07f1547 --- /dev/null +++ b/blog/tp/README.md @@ -0,0 +1,11 @@ +# Activation Memory: Part 2 + +Code accompanying the deep-dive [blog post on activation memory](https://determined.ai/blog/act-mem-2). + +- The main utility code is in `act_mem.py`. +- Basic transformer layers are implemented in `layers.py`. +- The scripts `{block,mlp}_script.py` demonstrate how replacing `GELU` with `ReLU` affects activation +memory. +- `attn_script.py` shows the cost of activation memory in the attention layer. +- Tests of the code are in `test.py`. +- See `requirements.txt` for versions the code was built against. diff --git a/blog/tp/act_mem.py b/blog/tp/act_mem.py new file mode 100644 index 0000000..479aad3 --- /dev/null +++ b/blog/tp/act_mem.py @@ -0,0 +1,127 @@ +from typing import Any, Iterable, Optional, Union + +import torch + + +def B_to_GiB(bytes: Union[int, float]) -> float: + return bytes / 2**30 + + +def get_tensor_bytes(tensor: torch.Tensor) -> int: + """ + Returns the bytes of storage a given tensor takes up. If `tensor` is a view of a larger tensor, + this function only returns the bytes associated with the view. + """ + tensor_bytes = tensor.numel() * tensor.element_size() + return tensor_bytes + + +class AllocatedMemContext: + """ + Context manager which captures the allocated GPU memory at context exit and the change between + enter and exit. + + Only includes `allocated_bytes.all.`-prefixed keys in `memory_stats` with all readings converted + to GiB. + + Example: + + ```python + + ``` + """ + + def __init__(self) -> None: + # Ensure CUDA libraries are loaded: + torch.cuda.current_blas_handle() + + self.before: dict[str, int] = {} + self.after: dict[str, int] = {} + self.delta: dict[str, int] = {} + + self._mem_key_prefix = "allocated_bytes.all." + + def _get_mem_dict(self) -> dict[str, int]: + return { + k.replace(self._mem_key_prefix, ""): v + for k, v in torch.cuda.memory_stats().items() + if self._mem_key_prefix in k + } + + def __enter__(self) -> "AllocatedMemContext": + self.before = self._get_mem_dict() + return self + + def __exit__(self, *args: Any, **kwargs: Any) -> None: + self.after = self._get_mem_dict() + self.delta = {k: v - self.before[k] for k, v in self.after.items()} + + +class SavedTensorContext: + """ + Context manager which captures all tensors which are registered as being saved for backwards + within the context window. Does not work with `meta`-device tensors. + + All saved tensors are stored in the `saved_tensor_dict` attr, which is an instance of torch's + WeakTensorKeyDictionary with tensor/data_ptr key/value pairs. Some of these tensors may be + views of the same underlying storage. The total memory of all saved tensors in bytes, accounting + for redundant views, can be accessed through `saved_tensor_mem`. + + Use: + ``` + model = ... + with SavedTensorContext(ignored_tensors=model.parameters()) as saved: + # Do some computation with `model` and capture saved tensors which are not model weights + + ``` + saved.saved_tensor_dict # WeakTensorKeyDictionary of all saved tensors. + saved.saved_tensor_mem # bytes from all saved tensors (activation memory). + """ + + def __init__( + self, + ignored_tensors: Optional[Iterable[torch.Tensor]] = None, + ) -> None: + # Track ignored tensors by their storage's data_ptr. Important to use storage's data_ptr, + # not just the data_ptr of the tensor itself. + self._ignored_data_ptrs = ( + set() + if ignored_tensors is None + else {t.untyped_storage().data_ptr() for t in ignored_tensors} + ) + + # Use WeakTensorKeyDictionary instances to save non-trivial tensor references, since these + # won't keep the tensor alive if the only references to the tensor are within this object. + self.saved_tensor_dict = torch.utils.weak.WeakTensorKeyDictionary() + + def pack_hook(saved_tensor: torch.Tensor) -> torch.Tensor: + data_ptr = saved_tensor.untyped_storage().data_ptr() + if data_ptr not in self._ignored_data_ptrs: + self.saved_tensor_dict[saved_tensor] = data_ptr + return saved_tensor + + def unpack_hook(saved_tensor: torch.Tensor) -> torch.Tensor: + return saved_tensor + + self._saved_tensors_hook = torch.autograd.graph.saved_tensors_hooks(pack_hook, unpack_hook) + + def __enter__(self) -> "SavedTensorContext": + self._saved_tensors_hook.__enter__() + return self + + def __exit__(self, *args: Any, **kwargs: Any) -> None: + self._saved_tensors_hook.__exit__(*args, **kwargs) + + @property + def saved_tensor_mem(self) -> int: + """ + The memory in bytes of all saved tensors, accounting for views into the same storage. + """ + accounted_for = self._ignored_data_ptrs.copy() + total_bytes = 0 + for t in self.saved_tensor_dict: + data_ptr = t.untyped_storage().data_ptr() + if data_ptr not in accounted_for: + total_bytes += t.untyped_storage().nbytes() + accounted_for.add(data_ptr) + return total_bytes diff --git a/blog/tp/attn_script.py b/blog/tp/attn_script.py new file mode 100644 index 0000000..d498ac5 --- /dev/null +++ b/blog/tp/attn_script.py @@ -0,0 +1,30 @@ +import torch + +import act_mem +import layers + +if __name__ == "__main__": + batch_size, seq_len, d_model, n_heads = 2, 4096, 1024, 32 + dtype = torch.bfloat16 + inputs = torch.randn( + batch_size, + seq_len, + d_model, + device="cuda", + requires_grad=True, + dtype=dtype, + ) + + attn = layers.Attention( + d_model=d_model, + n_heads=n_heads, + device="cuda", + dtype=dtype, + ) + with act_mem.AllocatedMemContext() as mem, act_mem.SavedTensorContext( + ignored_tensors=attn.parameters() + ) as saved: + out = attn(inputs) + print(f'{mem.delta["current"]=}') + print(f"{saved.saved_tensor_mem=}") + print(f"{saved.saved_tensor_mem/out.numel()=}") diff --git a/blog/tp/block_script.py b/blog/tp/block_script.py new file mode 100644 index 0000000..1145ffb --- /dev/null +++ b/blog/tp/block_script.py @@ -0,0 +1,44 @@ +""" +Prints out the ratio of activation memory for the a transformer Block when using ReLU vs GELU. +""" + +import torch +import torch.nn as nn + +import act_mem +import layers + +if __name__ == "__main__": + batch_size, seq_len, d_model, n_heads = 2, 4096, 1024, 2 + dtype = torch.bfloat16 + inputs = torch.randn( + batch_size, + seq_len, + d_model, + device="cuda", + requires_grad=True, + dtype=dtype, + ) + + act_fn_dict = {"ReLU": nn.ReLU(), "GELU": nn.GELU()} + # Append outputs to a list to keep tensors alive + outputs = [] + mem_bytes = [] + + for name, act_fn in act_fn_dict.items(): + block = layers.Block( + d_model=d_model, + act_fn=act_fn, + n_heads=n_heads, + device="cuda", + dtype=dtype, + ) + with act_mem.AllocatedMemContext() as mem, act_mem.SavedTensorContext( + ignored_tensors=block.parameters() + ) as saved: + out = block(inputs) + outputs.append(out) + print(f"{name} block bytes: {saved.saved_tensor_mem}") + mem_bytes.append(saved.saved_tensor_mem) + + print(f"ReLU/GeLU block act mem ratio: {mem_bytes[0]/mem_bytes[1]}") diff --git a/blog/tp/layers.py b/blog/tp/layers.py new file mode 100644 index 0000000..7170a05 --- /dev/null +++ b/blog/tp/layers.py @@ -0,0 +1,155 @@ +from typing import Optional, Union + +import einops +import torch +import torch.nn as nn +import torch.nn.functional as F + + +class Attention(nn.Module): + """ + Minimal multi-head attention layer. + """ + + def __init__( + self, + d_model: int, + n_heads: int, + device: Optional[Union[str, torch.device]] = None, + dtype: Optional[torch.dtype] = None, + ): + super().__init__() + self.d_model = d_model + self.n_heads = n_heads + factory_kwargs = {"device": device, "dtype": dtype} + + self.d_head, remainder = divmod(self.d_model, self.n_heads) + assert not remainder, f"{n_heads=} must divide {d_model=} evenly" + + self.lin_qkv = nn.Linear( + self.d_model, + 3 * self.d_model, + **factory_kwargs, + ) + + self.lin_out = nn.Linear(self.d_model, self.d_model, **factory_kwargs) + + def forward( + self, + inputs: torch.Tensor, + ) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor]: + bsz, seq_len, _ = inputs.size() + + # Create the queries, keys, values + qkv = einops.rearrange( + self.lin_qkv(inputs), + "b s (three n_h d_h) -> three b s n_h d_h", + b=bsz, + s=seq_len, + three=3, + n_h=self.n_heads, + d_h=self.d_head, + ) + q, k, v = qkv + + bsz, seq_len, n_heads, d_head = q.shape + + shape_kwargs = dict(b=bsz, n_h=n_heads, s=seq_len, d_h=d_head) + q = einops.rearrange(q, "b s n_h d_h -> b n_h s d_h", **shape_kwargs) + k = einops.rearrange(k, "b s n_h d_h -> b n_h s d_h", **shape_kwargs) + v = einops.rearrange(v, "b s n_h d_h -> b n_h s d_h", **shape_kwargs) + + # Multi-head self-attention + attn_output = F.scaled_dot_product_attention(q, k, v, is_causal=True) + attn_output = einops.rearrange( + attn_output, + "b n_h s d_h -> b s (n_h d_h)", + b=bsz, + n_h=n_heads, + s=seq_len, + d_h=d_head, + ) + + # Final projection + out = self.lin_out(attn_output) + + return out + + +class MLP(nn.Module): + """ + Basic MLP layer with optional Dropout. + """ + + def __init__( + self, + d_model: int, + act_fn: nn.Module, + dropout_prob: Optional[float] = None, + device: Optional[Union[str, torch.device]] = None, + dtype: Optional[torch.dtype] = None, + ) -> None: + super().__init__() + self.d_model = d_model + self.act_fn = act_fn + self.dropout_prob = dropout_prob + factory_kwargs = {"device": device, "dtype": dtype} + + self.lin_0 = nn.Linear(self.d_model, 4 * self.d_model, **factory_kwargs) + self.lin_1 = nn.Linear(4 * self.d_model, self.d_model, **factory_kwargs) + self.dropout = nn.Dropout(self.dropout_prob) if self.dropout_prob else None + + def forward(self, inputs: torch.Tensor) -> torch.Tensor: + x = self.lin_0(inputs) + x = self.act_fn(x) + x = self.lin_1(x) + if self.dropout is not None: + x = self.dropout(x) + return x + + +class Block(nn.Module): + """ + Basic transformer block. + + Schematic: + ┌──────┐ + │inputs│ + └┬─┬───┘ + │┌▽───────────┐ + ││norm_0, attn│ + │└┬───────────┘ + ┌▽─▽──┐ + │ add │ + └┬─┬──┘ + │┌▽──────────┐ + ││norm_1, mlp│ + │└┬──────────┘ + ┌▽─▽──┐ + │ add │ + └┬────┘ + ┌▽──────┐ + │outputs│ + └───────┘ + """ + + def __init__( + self, + d_model: int, + n_heads: int, + act_fn: nn.Module, + dropout_prob: Optional[float] = None, + dtype: Optional[torch.dtype] = None, + device: Optional[Union[str, torch.device]] = None, + ): + super().__init__() + factory_kwargs = {"device": device, "dtype": dtype} + self.attn = Attention(d_model=d_model, n_heads=n_heads, **factory_kwargs) + self.mlp = MLP(d_model=d_model, act_fn=act_fn, dropout_prob=dropout_prob, **factory_kwargs) + self.norm_0 = nn.LayerNorm(d_model, **factory_kwargs) + self.norm_1 = nn.LayerNorm(d_model, **factory_kwargs) + + def forward(self, inputs: torch.Tensor) -> torch.Tensor: + outputs = self.attn(self.norm_0(inputs)) + inputs + outputs = self.mlp(self.norm_1(outputs)) + outputs + return outputs diff --git a/blog/tp/mlp_script.py b/blog/tp/mlp_script.py new file mode 100644 index 0000000..1d35f43 --- /dev/null +++ b/blog/tp/mlp_script.py @@ -0,0 +1,44 @@ +""" +Prints out the ratio of activation memory for the MLP layer when using ReLU vs GELU. +""" + +import torch +import torch.nn as nn + +import act_mem +import layers + +if __name__ == "__main__": + batch_size, seq_len, d_model = 2, 4096, 1024 + dtype = torch.bfloat16 + inputs = torch.randn( + batch_size, + seq_len, + d_model, + device="cuda", + requires_grad=True, + dtype=dtype, + ) + + act_fn_dict = {"ReLU": nn.ReLU(), "GELU": nn.GELU()} + # Append outputs to a list to keep tensors alive + outputs = [] + mem_bytes = [] + + for name, act_fn in act_fn_dict.items(): + mlp = layers.MLP( + d_model=d_model, + act_fn=act_fn, + device="cuda", + dtype=dtype, + ) + with act_mem.AllocatedMemContext() as mem, act_mem.SavedTensorContext( + ignored_tensors=mlp.parameters() + ) as saved: + out = mlp(inputs) + outputs.append(out) + assert mem.delta["current"] == saved.saved_tensor_mem + print(f"{name} bytes: {saved.saved_tensor_mem}") + mem_bytes.append(saved.saved_tensor_mem) + + print(f"ReLU/GELU act mem ratio: {mem_bytes[0]/mem_bytes[1]}") diff --git a/blog/tp/requirements.txt b/blog/tp/requirements.txt new file mode 100644 index 0000000..ec837a8 --- /dev/null +++ b/blog/tp/requirements.txt @@ -0,0 +1,14 @@ +einops==0.8.0 +filelock==3.14.0 +fsspec==2024.5.0 +iniconfig==2.0.0 +Jinja2==3.1.4 +MarkupSafe==2.1.5 +mpmath==1.3.0 +networkx==3.3 +packaging==24.0 +pluggy==1.5.0 +pytest==8.2.1 +sympy==1.12.1 +torch==2.3.0 +typing_extensions==4.12.0 diff --git a/blog/tp/test.py b/blog/tp/test.py new file mode 100644 index 0000000..cde7097 --- /dev/null +++ b/blog/tp/test.py @@ -0,0 +1,203 @@ +from typing import Optional + +import pytest +import torch +import torch.nn as nn + +import act_mem +import layers + +BATCH_SIZES = (1, 2) +D_MODELS = (128, 256) +SEQ_LENS = (64, 128) +N_HEADS = (2, 4) + + +DEVICES = ["cpu"] +if torch.cuda.is_available(): + DEVICES.append("cuda") + + +ZERO_MEM_ACT_FNS = [ + nn.ReLU(), + nn.Sigmoid(), + nn.Tanh(), + nn.LeakyReLU(inplace=True), + nn.Sigmoid(), +] +ALL_ACT_FNS = ZERO_MEM_ACT_FNS + [ + nn.ELU(), + nn.GELU(), + nn.Hardshrink(), + nn.Hardsigmoid(), + nn.Hardswish(), + nn.Hardtanh(), + nn.LeakyReLU(), + nn.SELU(), + nn.SiLU(), +] + + +class TestSavedTensorContext: + @pytest.mark.parametrize("device", DEVICES) + @pytest.mark.parametrize("d_model", D_MODELS) + @pytest.mark.parametrize("batch_size", BATCH_SIZES) + def test_linear(self, device: str, d_model: int, batch_size: int) -> None: + """ + Test a simple linear layer. The inputs should be saved for backwards + """ + inputs = torch.randn(batch_size, d_model, requires_grad=True, device=device) + lin = nn.Linear(d_model, d_model, device=device) + with act_mem.SavedTensorContext(ignored_tensors=lin.parameters()) as saved: + _ = lin(inputs) + assert saved.saved_tensor_mem == inputs.numel() * inputs.element_size() + + @pytest.mark.parametrize("device", DEVICES) + @pytest.mark.parametrize("d_model", D_MODELS) + @pytest.mark.parametrize("batch_size", BATCH_SIZES) + def test_linear_amp(self, device: str, d_model: int, batch_size: int) -> None: + """ + Test a linear layer with AMP. The saved tensors should now be a low-precision version of the + inputs and the low-precision version of the weights version of the weights + """ + inputs = torch.randn(batch_size, d_model, requires_grad=True, device=device) + lin = nn.Linear(d_model, d_model, device=device) + dtype = torch.bfloat16 + with torch.autocast(device_type=device, dtype=dtype): + with act_mem.SavedTensorContext(ignored_tensors=lin.parameters()) as saved: + out = lin(inputs) + assert ( + saved.saved_tensor_mem + == out.numel() * out.element_size() + lin.weight.numel() * dtype.itemsize + ) + + @pytest.mark.parametrize("act_fn", ALL_ACT_FNS) + @pytest.mark.parametrize("dropout_prob", (None, 0.5)) + @pytest.mark.parametrize("device", DEVICES) + @pytest.mark.parametrize("d_model", D_MODELS) + @pytest.mark.parametrize("batch_size", BATCH_SIZES) + @pytest.mark.parametrize("seq_len", SEQ_LENS) + def test_mlp( + self, + act_fn: nn.Module, + dropout_prob: Optional[float], + device: str, + d_model: int, + batch_size: int, + seq_len: int, + ) -> None: + """ + For the transformer MLP layer with a ReLU non-linearity, the initial inputs and the inputs + to the final linear layer (which are four times as large) must always be saved. If the + derivative of the activation function cannot be expressed in terms of the activation + function's *outputs*, then the activation inputs must also be saved (which are again four + times as large as the MLP's inputs). The MLP activation memory can be nearly halved by a + choice of activation function. + """ + inputs = torch.randn( + batch_size, seq_len, d_model, requires_grad=True, device=device + ) + expansion_factor = 4 + mlp = layers.MLP( + d_model=d_model, act_fn=act_fn, dropout_prob=dropout_prob, device=device + ) + with act_mem.SavedTensorContext(ignored_tensors=mlp.parameters()) as saved: + _ = mlp(inputs) + + # Compare measured memory against expected + first_lin_input_mem = act_mem.get_tensor_bytes(inputs) + second_lin_input_mem = expansion_factor * first_lin_input_mem + # Only some activations require additional activation memory + activation_input_mem = 0 if act_fn in ZERO_MEM_ACT_FNS else second_lin_input_mem + dropout_act_mem = ( + 0 if not dropout_prob else inputs.numel() * (4 if device == "cpu" else 1) + ) + + expected_mem = ( + first_lin_input_mem + + second_lin_input_mem + + activation_input_mem + + dropout_act_mem + ) + assert saved.saved_tensor_mem == expected_mem + + @pytest.mark.parametrize("act_fn", ALL_ACT_FNS) + @pytest.mark.parametrize("dropout_prob", (None, 0.5)) + @pytest.mark.parametrize("device", DEVICES) + @pytest.mark.parametrize("d_model", D_MODELS) + @pytest.mark.parametrize("batch_size", BATCH_SIZES) + @pytest.mark.parametrize("seq_len", SEQ_LENS) + def test_mlp_amp( + self, + act_fn: nn.Module, + dropout_prob: Optional[float], + device: str, + d_model: int, + batch_size: int, + seq_len: int, + ) -> None: + """ + Similar story with AMP. The only changes come from the modified dtypes and needing to also + save references to the low-precision weights in the Linear layers. + """ + inputs = torch.randn( + batch_size, seq_len, d_model, requires_grad=True, device=device + ) + expansion_factor = 4 + mlp = layers.MLP( + d_model=d_model, act_fn=act_fn, dropout_prob=dropout_prob, device=device + ) + dtype = torch.bfloat16 + with torch.autocast(device_type=device, dtype=dtype): + with act_mem.SavedTensorContext(ignored_tensors=mlp.parameters()) as saved: + _ = mlp(inputs) + + # Compare measured memory against expected + amp_weight_mem = 2 * expansion_factor * d_model**2 * dtype.itemsize + first_lin_input_mem = inputs.numel() * dtype.itemsize + second_lin_input_mem = expansion_factor * inputs.numel() * dtype.itemsize + # Only some activations require additional activation memory + activation_input_mem = 0 if act_fn in ZERO_MEM_ACT_FNS else second_lin_input_mem + dropout_act_mem = ( + 0 + if not dropout_prob + else inputs.numel() * (dtype.itemsize if device == "cpu" else 1) + ) + + expected_mem = ( + amp_weight_mem + + first_lin_input_mem + + second_lin_input_mem + + activation_input_mem + + dropout_act_mem + ) + assert ( + saved.saved_tensor_mem == expected_mem + ), f"Failed on {act_fn=}, {dropout_prob=}" + + +@pytest.mark.skipif(not torch.cuda.is_available(), reason="cuda not available") +class TestCUDAMemReadings: + @pytest.mark.parametrize("d_model", D_MODELS) + @pytest.mark.parametrize("batch_size", BATCH_SIZES) + @pytest.mark.parametrize("seq_len", SEQ_LENS) + @pytest.mark.parametrize("act_fn", ALL_ACT_FNS) + def test_mlp( + self, d_model: int, batch_size: int, seq_len: int, act_fn: nn.Module + ) -> None: + """ + Track saved tensors and allocated memory and verify they agree. + """ + + inputs = torch.randn(batch_size, seq_len, d_model, device="cuda") + mlp = layers.MLP(d_model=d_model, act_fn=act_fn, device="cuda") + + with act_mem.AllocatedMemContext() as mem, act_mem.SavedTensorContext( + ignored_tensors=mlp.parameters() + ) as saved: + outputs = mlp(inputs) + + # AllocatedMemContext captures the outputs, but not inputs, while SavedTensorContext + # captures inputs and not outputs. Nevertheless, the readings agree because inputs and + # outputs are tensors of the same size and `dtype`. + assert mem.delta["current"] == saved.saved_tensor_mem From d77e7cef1a6c35720229d5d99ca3d30de1e965ee Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Wed, 26 Jun 2024 15:26:57 -0400 Subject: [PATCH 02/12] pyproject.toml --- blog/tp/pyproject.toml | 32 ++++++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) create mode 100644 blog/tp/pyproject.toml diff --git a/blog/tp/pyproject.toml b/blog/tp/pyproject.toml new file mode 100644 index 0000000..62c92bf --- /dev/null +++ b/blog/tp/pyproject.toml @@ -0,0 +1,32 @@ +[tool.ruff] +line-length = 100 + +[tool.ruff.lint] +select = [ + # pycodestyle + "E", + # Pyflakes + "F", + # flake8-bugbear + "B", + # isort + "I", +] + +[tool.ruff.per-file-ignores] +# Ignore import violations in all `__init__.py` files +"__init__.py" = ["E402", "F401"] + +[tool.mypy] +python_version = "3.9" +follow_imports = "silent" +ignore_missing_imports = "True" +check_untyped_defs = "True" +disallow_untyped_defs = "True" +disallow_subclassing_any = "True" +no_implicit_optional = "True" +strict_equality = "True" +disallow_untyped_decorators = "True" +warn_redundant_casts = "True" +warn_unused_configs = "True" + From a65842cec828394a5b5f23ce7c65bacaa2ba7f6a Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Wed, 26 Jun 2024 15:27:08 -0400 Subject: [PATCH 03/12] layers --- blog/tp/layers.py | 205 +++++++++++++++++++++------------------------- 1 file changed, 93 insertions(+), 112 deletions(-) diff --git a/blog/tp/layers.py b/blog/tp/layers.py index 7170a05..931b039 100644 --- a/blog/tp/layers.py +++ b/blog/tp/layers.py @@ -1,155 +1,136 @@ -from typing import Optional, Union +from typing import Any, Optional, Union -import einops import torch +import torch.distributed as dist import torch.nn as nn -import torch.nn.functional as F -class Attention(nn.Module): +class MLP(nn.Module): """ - Minimal multi-head attention layer. + Basic MLP (multi-layer perceptron) layer. Dropout is neglected. """ def __init__( self, d_model: int, - n_heads: int, device: Optional[Union[str, torch.device]] = None, dtype: Optional[torch.dtype] = None, - ): + ) -> None: super().__init__() - self.d_model = d_model - self.n_heads = n_heads - factory_kwargs = {"device": device, "dtype": dtype} - self.d_head, remainder = divmod(self.d_model, self.n_heads) - assert not remainder, f"{n_heads=} must divide {d_model=} evenly" + self.lin_0 = nn.Linear(d_model, 4 * d_model, device=device, dtype=dtype) + self.act_fn = nn.GELU() + self.lin_1 = nn.Linear(4 * d_model, d_model, device=device, dtype=dtype) - self.lin_qkv = nn.Linear( - self.d_model, - 3 * self.d_model, - **factory_kwargs, - ) + def forward(self, inputs: torch.Tensor) -> torch.Tensor: + x = self.lin_0(inputs) + x = self.act_fn(x) + x = self.lin_1(x) + return x - self.lin_out = nn.Linear(self.d_model, self.d_model, **factory_kwargs) +class AllReduceFwdIdentityBwd(torch.autograd.Function): + @staticmethod def forward( - self, - inputs: torch.Tensor, - ) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor]: - bsz, seq_len, _ = inputs.size() - - # Create the queries, keys, values - qkv = einops.rearrange( - self.lin_qkv(inputs), - "b s (three n_h d_h) -> three b s n_h d_h", - b=bsz, - s=seq_len, - three=3, - n_h=self.n_heads, - d_h=self.d_head, - ) - q, k, v = qkv - - bsz, seq_len, n_heads, d_head = q.shape - - shape_kwargs = dict(b=bsz, n_h=n_heads, s=seq_len, d_h=d_head) - q = einops.rearrange(q, "b s n_h d_h -> b n_h s d_h", **shape_kwargs) - k = einops.rearrange(k, "b s n_h d_h -> b n_h s d_h", **shape_kwargs) - v = einops.rearrange(v, "b s n_h d_h -> b n_h s d_h", **shape_kwargs) - - # Multi-head self-attention - attn_output = F.scaled_dot_product_attention(q, k, v, is_causal=True) - attn_output = einops.rearrange( - attn_output, - "b n_h s d_h -> b s (n_h d_h)", - b=bsz, - n_h=n_heads, - s=seq_len, - d_h=d_head, - ) + ctx: Any, inputs: torch.Tensor, group: Optional[dist.ProcessGroup] = None + ) -> torch.Tensor: + inputs = inputs.clone() + dist.all_reduce(inputs, group=group) + return inputs - # Final projection - out = self.lin_out(attn_output) + @staticmethod + def backward(ctx: Any, grad_outputs: torch.Tensor) -> tuple[torch.Tensor, None]: + return grad_outputs, None - return out +class IdentityFwdAllReduceBwd(torch.autograd.Function): + @staticmethod + def forward( + ctx: Any, inputs: torch.Tensor, group: Optional[dist.ProcessGroup] = None + ) -> torch.Tensor: + ctx.group = group + return inputs -class MLP(nn.Module): - """ - Basic MLP layer with optional Dropout. - """ + @staticmethod + def backward(ctx: Any, grad_outputs: torch.Tensor) -> tuple[torch.Tensor, None]: + grad_outputs = grad_outputs.clone() + dist.all_reduce(grad_outputs, group=ctx.group) + return grad_outputs, None + +class LinearShardedOutputs(nn.Linear): def __init__( self, - d_model: int, - act_fn: nn.Module, - dropout_prob: Optional[float] = None, + in_features: int, + out_features: int, + group: dist.ProcessGroup, device: Optional[Union[str, torch.device]] = None, dtype: Optional[torch.dtype] = None, ) -> None: - super().__init__() - self.d_model = d_model - self.act_fn = act_fn - self.dropout_prob = dropout_prob - factory_kwargs = {"device": device, "dtype": dtype} + sharded_out_features, remainder = divmod(out_features, group.size()) + assert not remainder, "out_features must be divisible by tp_degree" + super().__init__( + in_features=in_features, + out_features=sharded_out_features, + device=device, + dtype=dtype, + ) - self.lin_0 = nn.Linear(self.d_model, 4 * self.d_model, **factory_kwargs) - self.lin_1 = nn.Linear(4 * self.d_model, self.d_model, **factory_kwargs) - self.dropout = nn.Dropout(self.dropout_prob) if self.dropout_prob else None + self.group = group def forward(self, inputs: torch.Tensor) -> torch.Tensor: - x = self.lin_0(inputs) - x = self.act_fn(x) - x = self.lin_1(x) - if self.dropout is not None: - x = self.dropout(x) + x = IdentityFwdAllReduceBwd.apply(inputs, self.group) + x = super().forward(x) + return x + + +class LinearShardedInputs(nn.Linear): + def __init__( + self, + in_features: int, + out_features: int, + group: dist.ProcessGroup, + device: Optional[Union[str, torch.device]] = None, + dtype: Optional[torch.dtype] = None, + ) -> None: + sharded_in_features, remainder = divmod(in_features, group.size()) + assert not remainder, "out_features must be divisible by tp_degree" + super().__init__( + in_features=sharded_in_features, + out_features=out_features, + device=device, + dtype=dtype, + ) + self.group = group + + def forward(self, inputs: torch.Tensor) -> torch.Tensor: + x = inputs @ self.weight.T + # Crucial: all-reduce/reduce-scatter _before_ adding the bias. + x = AllReduceFwdIdentityBwd.apply(x, self.group) + x = x + self.bias return x -class Block(nn.Module): +class MLPTP(MLP): """ - Basic transformer block. - - Schematic: - ┌──────┐ - │inputs│ - └┬─┬───┘ - │┌▽───────────┐ - ││norm_0, attn│ - │└┬───────────┘ - ┌▽─▽──┐ - │ add │ - └┬─┬──┘ - │┌▽──────────┐ - ││norm_1, mlp│ - │└┬──────────┘ - ┌▽─▽──┐ - │ add │ - └┬────┘ - ┌▽──────┐ - │outputs│ - └───────┘ + Basic Tensor Parallel MLP (multi-layer perceptron) layer. Dropout is neglected. """ def __init__( self, d_model: int, - n_heads: int, - act_fn: nn.Module, - dropout_prob: Optional[float] = None, - dtype: Optional[torch.dtype] = None, + group: Optional[dist.ProcessGroup] = None, device: Optional[Union[str, torch.device]] = None, - ): - super().__init__() - factory_kwargs = {"device": device, "dtype": dtype} - self.attn = Attention(d_model=d_model, n_heads=n_heads, **factory_kwargs) - self.mlp = MLP(d_model=d_model, act_fn=act_fn, dropout_prob=dropout_prob, **factory_kwargs) - self.norm_0 = nn.LayerNorm(d_model, **factory_kwargs) - self.norm_1 = nn.LayerNorm(d_model, **factory_kwargs) + dtype: Optional[torch.dtype] = None, + ) -> None: + nn.Module.__init__(self) + # Fallback to the WORLD process group, if None provided + group = group or dist.group.WORLD - def forward(self, inputs: torch.Tensor) -> torch.Tensor: - outputs = self.attn(self.norm_0(inputs)) + inputs - outputs = self.mlp(self.norm_1(outputs)) + outputs - return outputs + self.lin_0 = LinearShardedOutputs( + d_model, 4 * d_model, group=group, device=device, dtype=dtype + ) + self.act_fn = nn.GELU() + self.lin_1 = LinearShardedInputs( + 4 * d_model, d_model, group=group, device=device, dtype=dtype + ) From 7ea616d0d50b46252625f8af6b19743b5bc6c60d Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Wed, 26 Jun 2024 15:27:12 -0400 Subject: [PATCH 04/12] dot product tests --- blog/tp/test_dot_product_distributed.py | 64 +++++++++++++++++++++++++ blog/tp/test_dot_product_local.py | 26 ++++++++++ 2 files changed, 90 insertions(+) create mode 100644 blog/tp/test_dot_product_distributed.py create mode 100644 blog/tp/test_dot_product_local.py diff --git a/blog/tp/test_dot_product_distributed.py b/blog/tp/test_dot_product_distributed.py new file mode 100644 index 0000000..9d02454 --- /dev/null +++ b/blog/tp/test_dot_product_distributed.py @@ -0,0 +1,64 @@ +""" +A sharded dot-product computed over multiple processes. Uses CPU, the gloo backend, and +multi-processing, so that the code can run anywhere. +""" + +import os +from concurrent.futures import ProcessPoolExecutor + +import torch +import torch.distributed as dist + +MASTER_ADDR = "127.0.0.1" +MASTER_PORT = 29500 +WORLD_SIZE = 4 +D_MODEL = 128 + +# Environment variables expected by torch.distributed. +os.environ["MASTER_ADDR"] = MASTER_ADDR +os.environ["MASTER_PORT"] = str(MASTER_PORT) +os.environ["WORLD_SIZE"] = str(WORLD_SIZE) + + +def compute_dot_product(rank: int): + # More torch.distributed env vars. + os.environ["RANK"] = os.environ["LOCAL_RANK"] = str(rank) + + assert ( + not D_MODEL % WORLD_SIZE + ), f"Choose D_MODEL to be divisible by WORLD_SIZE {D_MODEL % WORLD_SIZE=}." + + # Setup: populate the same tensors on all devices. The full tensors will be used to check + # correctness. + torch.manual_seed(42) + a = torch.randn(D_MODEL) + b = torch.randn(D_MODEL) + + # Each rank uses a different shard for the sharded dot-product + a_sharded = a.reshape(WORLD_SIZE, D_MODEL // WORLD_SIZE)[rank] + b_sharded = b.reshape(WORLD_SIZE, D_MODEL // WORLD_SIZE)[rank] + + # Compute the dot-product via collectives. + + # Each rank first computes their local dot-product using the available shards: + c = a_sharded @ b_sharded + + # The computation is completed by summing over processes: + dist.init_process_group(backend="gloo") + dist.all_reduce(c) + + # Test correctness: + torch.testing.assert_close(c, a @ b) + return f"Correct results on {rank=}" + + +def run(): + with ProcessPoolExecutor(max_workers=WORLD_SIZE) as pool: + ranks_list = [r for r in range(WORLD_SIZE)] + results = pool.map(compute_dot_product, ranks_list) + for r in results: + print(r) + + +if __name__ == "__main__": + run() diff --git a/blog/tp/test_dot_product_local.py b/blog/tp/test_dot_product_local.py new file mode 100644 index 0000000..11e78e5 --- /dev/null +++ b/blog/tp/test_dot_product_local.py @@ -0,0 +1,26 @@ +""" +Demonstrating the equivalence of a basic dot product and a sharded-version of the same dot product. +""" + +import torch + +D_MODEL = 128 + +if __name__ == "__main__": + a = torch.randn(D_MODEL) + b = torch.randn(D_MODEL) + + # The dot-product, two different ways + c_0 = a @ b + c_1 = (a * b).sum() + + a_sharded = a.reshape(2, D_MODEL // 2) + b_sharded = b.reshape(2, D_MODEL // 2) + + # More equivalent dot-products, using the sharded tensors. + c_2 = (a_sharded * b_sharded).sum() + c_3 = (a_sharded @ b_sharded.T).trace() + c_4 = (a_sharded.T @ b_sharded).trace() + + for dot_prod in (c_1, c_2, c_3, c_4): + torch.testing.assert_close(c_0, dot_prod) From 8964fc7fa64738bec7ad9444e56a51aeb2a3106d Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Wed, 26 Jun 2024 15:27:24 -0400 Subject: [PATCH 05/12] mlp teset --- blog/tp/test_mlp_tp.py | 92 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 92 insertions(+) create mode 100644 blog/tp/test_mlp_tp.py diff --git a/blog/tp/test_mlp_tp.py b/blog/tp/test_mlp_tp.py new file mode 100644 index 0000000..cc9ea5b --- /dev/null +++ b/blog/tp/test_mlp_tp.py @@ -0,0 +1,92 @@ +""" +Testing the correctness of the TP implementation. Uses CPU, the gloo backend, and multi-processing, +so that the code can run anywhere. + +""" + +import os +from concurrent.futures import ProcessPoolExecutor + +import torch +import torch.distributed as dist + +import layers + +MASTER_ADDR = "127.0.0.1" +MASTER_PORT = 29500 +WORLD_SIZE = 4 +BATCH_SIZE = 2 +SEQ_LEN = 64 +D_MODEL = 128 + +# Environment variables expected by torch.distributed. +os.environ["MASTER_ADDR"] = MASTER_ADDR +os.environ["MASTER_PORT"] = str(MASTER_PORT) +os.environ["WORLD_SIZE"] = str(WORLD_SIZE) + + +def test_mlp(rank: int): + # More torch.distributed env vars. + os.environ["RANK"] = os.environ["LOCAL_RANK"] = str(rank) + + assert ( + not D_MODEL % WORLD_SIZE + ), f"Choose D_MODEL to be divisible by WORLD_SIZE {D_MODEL % WORLD_SIZE=}." + + # Create two sets of equivalent inputs, both requiring gradients. + torch.manual_seed(42) + inputs = torch.randn(BATCH_SIZE, SEQ_LEN, D_MODEL, requires_grad=True) + inputs_tp = inputs.detach().clone().requires_grad_() + + # Create TP and non-TP MLP layers + dist.init_process_group(backend="gloo") + mlp = layers.MLP(D_MODEL) + mlp_tp = layers.MLPTP(D_MODEL) + + # Give the TP model the same weights as the non-TP model: + with torch.no_grad(): + mlp_tp.lin_0.weight.data = mlp.lin_0.weight.data.tensor_split(WORLD_SIZE, dim=0)[rank] + mlp_tp.lin_0.bias.data = mlp.lin_0.bias.data.tensor_split(WORLD_SIZE, dim=0)[rank] + mlp_tp.lin_1.weight.data = mlp.lin_1.weight.data.tensor_split(WORLD_SIZE, dim=1)[rank] + mlp_tp.lin_1.bias.data = mlp.lin_1.bias.data + + # The outputs should be the same: + outputs = mlp(inputs) + outputs_tp = mlp_tp(inputs_tp) + with torch.no_grad(): + torch.testing.assert_close(outputs, outputs_tp) + + # Perform a backwards pass on a simple loss function. + outputs.pow(2).sum().backward() + outputs_tp.pow(2).sum().backward() + + # Check that the input gradients are the same + with torch.no_grad(): + assert inputs.grad is not None + torch.testing.assert_close(inputs.grad, inputs_tp.grad) + + # And finally check that the parameter gradients are the same: + # Give the TP model the same weights as the non-TP model: + with torch.no_grad(): + mlp_tp.lin_0.weight.grad.data = mlp.lin_0.weight.grad.data.tensor_split(WORLD_SIZE, dim=0)[ + rank + ] + mlp_tp.lin_0.bias.grad.data = mlp.lin_0.bias.grad.data.tensor_split(WORLD_SIZE, dim=0)[rank] + mlp_tp.lin_1.weight.grad.data = mlp.lin_1.weight.grad.data.tensor_split(WORLD_SIZE, dim=1)[ + rank + ] + mlp_tp.lin_1.bias.grad.data = mlp.lin_1.bias.grad.data + + return f"Correct results on {rank=}" + + +def run(): + with ProcessPoolExecutor(max_workers=WORLD_SIZE) as pool: + ranks_list = [r for r in range(WORLD_SIZE)] + results = pool.map(test_mlp, ranks_list) + for r in results: + print(r) + + +if __name__ == "__main__": + run() From 2c702e2c8ab2453b6e9ab8b6664a06204d6b4f3f Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Fri, 28 Jun 2024 11:14:34 -0400 Subject: [PATCH 06/12] profiling code and minor edits --- blog/tp/layers.py | 8 +- blog/tp/matmul.png | Bin 0 -> 96324 bytes blog/tp/matmul_profiling.py | 91 +++++ blog/tp/matmul_profiling.yaml | 20 + blog/tp/mlp_tp.png | Bin 0 -> 197246 bytes blog/tp/plots.ipynb | 469 ++++++++++++++++++++++++ blog/tp/test_dot_product_distributed.py | 9 +- blog/tp/test_dot_product_local.py | 24 +- blog/tp/tp_profiling.py | 155 ++++++++ blog/tp/tp_profiling.yaml | 22 ++ blog/tp/utils.py | 68 ++++ 11 files changed, 849 insertions(+), 17 deletions(-) create mode 100644 blog/tp/matmul.png create mode 100644 blog/tp/matmul_profiling.py create mode 100644 blog/tp/matmul_profiling.yaml create mode 100644 blog/tp/mlp_tp.png create mode 100644 blog/tp/plots.ipynb create mode 100644 blog/tp/tp_profiling.py create mode 100644 blog/tp/tp_profiling.yaml create mode 100644 blog/tp/utils.py diff --git a/blog/tp/layers.py b/blog/tp/layers.py index 931b039..f559742 100644 --- a/blog/tp/layers.py +++ b/blog/tp/layers.py @@ -68,7 +68,7 @@ def __init__( dtype: Optional[torch.dtype] = None, ) -> None: sharded_out_features, remainder = divmod(out_features, group.size()) - assert not remainder, "out_features must be divisible by tp_degree" + assert not remainder, "out_features must be divisible by the ProcessGroup size" super().__init__( in_features=in_features, out_features=sharded_out_features, @@ -79,6 +79,7 @@ def __init__( self.group = group def forward(self, inputs: torch.Tensor) -> torch.Tensor: + # Wrap the unsharded inputs for backwards-pass correctness. x = IdentityFwdAllReduceBwd.apply(inputs, self.group) x = super().forward(x) return x @@ -94,7 +95,7 @@ def __init__( dtype: Optional[torch.dtype] = None, ) -> None: sharded_in_features, remainder = divmod(in_features, group.size()) - assert not remainder, "out_features must be divisible by tp_degree" + assert not remainder, "in_features must be divisible by the ProcessGroup size" super().__init__( in_features=sharded_in_features, out_features=out_features, @@ -105,8 +106,9 @@ def __init__( def forward(self, inputs: torch.Tensor) -> torch.Tensor: x = inputs @ self.weight.T - # Crucial: all-reduce/reduce-scatter _before_ adding the bias. + # Wrap the mat-mul in an all-reduce forwards-pass correctness. x = AllReduceFwdIdentityBwd.apply(x, self.group) + # Crucial: add the bias _after_ the all-reduce. x = x + self.bias return x diff --git a/blog/tp/matmul.png b/blog/tp/matmul.png new file mode 100644 index 0000000000000000000000000000000000000000..f23da74598c608ce3b2819433682be8721f3eabe GIT binary patch literal 96324 zcmeFaXH=Bwwk=Gzt#-E!h>9ptu}z>LNRDljR0Kql5*rYaBqBMtZ7T=@1|%a20+J;a z8B{_kNReX!rIh4kk)a58t@7Nx_qjjL_uVnRJHB(r*o@uX#JAph-e;{f*PL@b`~F2u zHRhi=e`aE0Vm^0P`4SV;wm2rH?czUfgYQI_xTU~fY&g-)F~aNWh_rn8K&u){xoLCEozwXoO^X9;kTpKhML;>^T! z)C~Xmj^|#fEz@^QOy`u(=z7FW_IvsmTU982b$t9`p!x2Ni^r0){ybqNoblJ6lg|(2 z1wQ}l`TLYx-?6jh82>O|%Km6b;J{yb9}@G_*{+)XP|tthz{O)OW~~w$qUZel=Od$R zB92H~w_c$8Rhjx$c#+~fN#|xi#zl|JolrRmAMmpH;j3GoF8uA&Ki?g>`90&)18lc< zfBWA3A7LHv*rdK)H!B>LU 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gc +import logging + +import determined as det +import torch + +import utils + +""" +Script for profiling square matmuls on a single GPU. +""" + + +def profile_and_report( + core_context: det.core.Context, + d_model: int, + num_repeats: int, + num_warmups: int, + dtype: torch.dtype = torch.bfloat16, +) -> None: + A = torch.randn(d_model, d_model, device="cuda", dtype=dtype) + B = torch.randn(d_model, d_model, device="cuda", dtype=dtype) + + # Use CUDA events for accurate timing. + timer = utils.CUDAEventTimer() + torch.cuda.synchronize() + + # Warmups + for _ in range(num_warmups): + A @ B + + # Timed region. + for _ in range(num_repeats): + with timer: + A @ B + + # Mean and std TFLOP computations + flops = 2 * d_model**3 + time_s_t = torch.tensor(timer.time_s_list) + tflop_s_gpu_t = flops / time_s_t / 1e12 + metrics = { + "d_model": d_model, + "time_s": timer.time_s_mean, + "time_s_std": timer.time_s_std, + "tflop_s_gpu": tflop_s_gpu_t.mean().item(), + "tflop_s_gpu_std": tflop_s_gpu_t.std().item(), + } + + # Use d_model as the x-axis for plotting purposes. + core_context.train.report_metrics(group="matmul", steps_completed=d_model, metrics=metrics) + + # Memory management + del A + del B + gc.collect() + torch.cuda.empty_cache() + + +def main( + core_context: det.core.Context, + d_model_min: int, + d_model_max: int, + d_model_step: int, + num_repeats: int, + num_warmups: int, +) -> None: + for d_model in range(d_model_min, d_model_max + 1, d_model_step): + profile_and_report( + core_context=core_context, + d_model=d_model, + num_repeats=num_repeats, + num_warmups=num_warmups, + ) + + +if __name__ == "__main__": + info = det.get_cluster_info() + assert info, "This script must run on a determined cluster." + hparams = info.trial.hparams + + with det.core.init() as core_context: + logging.basicConfig(level=logging.INFO, format=det.LOG_FORMAT) + + main( + core_context=core_context, + d_model_min=hparams["d_model_min"], + d_model_max=hparams["d_model_max"], + d_model_step=hparams["d_model_step"], + num_repeats=hparams["num_repeats"], + num_warmups=hparams["num_warmups"], + ) diff --git a/blog/tp/matmul_profiling.yaml b/blog/tp/matmul_profiling.yaml new file mode 100644 index 0000000..97674dd --- /dev/null +++ b/blog/tp/matmul_profiling.yaml @@ -0,0 +1,20 @@ +name: Matmul Profiling +# Adjust the workspace and project names, as appropriate. +workspace: TP Blog Post +project: Matmul Profiling +resources: + slots_per_trial: 1 +searcher: + name: single + metric: not_used + max_length: 1 +hyperparameters: + d_model_min: 256 + d_model_max: 16384 + d_model_step: 256 + num_warmups: 5 + num_repeats: 100 +entrypoint: >- + python3 -m determined.launch.torch_distributed + python3 matmul_profiling.py +max_restarts: 0 diff --git a/blog/tp/mlp_tp.png b/blog/tp/mlp_tp.png new file mode 100644 index 0000000000000000000000000000000000000000..a1be5a6e15da7ab0cc8e391047c2ad50a2788e9b GIT binary patch literal 197246 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b/blog/tp/plots.ipynb new file mode 100644 index 0000000..00382e0 --- /dev/null +++ b/blog/tp/plots.ipynb @@ -0,0 +1,469 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6cf61f44-e76f-435a-a4c4-7882c1546d52", + "metadata": {}, + "source": [ + "# Plots" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "1b461d37-b6de-42b7-9b03-063f3c46ef93", + "metadata": {}, + "outputs": [], + "source": [ + "import determined as det\n", + "from collections import defaultdict\n", + "from determined.experimental import client\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "sns.set_theme(style=\"darkgrid\")\n", + "sns.set(rc={\"figure.figsize\": (7.5, 7.5)})\n" + ] + }, + { + "cell_type": "markdown", + "id": "b1be1013-61b9-4290-95e7-891e9cbe0eb5", + "metadata": {}, + "source": [ + "Get all projects in the workspace" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "27c9f4dc-f0b8-45c9-ba3e-5c1ff398b8d3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MLP TP Profiling\n", + "Matmul Profiling\n" + ] + } + ], + "source": [ + "workspace = client.get_workspace(\"TP Blog Post\")\n", + "projects_dict = {p.name: p for p in workspace.list_projects()}\n", + "for p in projects_dict:\n", + " print(p)" + ] + }, + { + "cell_type": "markdown", + "id": "5703a1f3-24b5-4d7c-acdd-3c14bf88f4af", + "metadata": {}, + "source": [ + "## mlp_tp Plots" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "d94ce58b-497c-46de-ac9d-57c8a2c053e1", + "metadata": {}, + "outputs": [], + "source": [ + "matmul_trial = projects_dict[\"Matmul Profiling\"].list_experiments()[0].list_trials()[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "996c7686-7c1d-4de2-8a8a-f46453272b41", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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d_modelTFLOP/sec/GPUTFLOP/sec/GPU_std
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............
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" + ], + "text/plain": [ + " d_model TFLOP/sec/GPU TFLOP/sec/GPU_std\n", + "0 256 1.043684 0.065087\n", + "1 512 8.508206 1.398408\n", + "2 768 29.999840 1.571498\n", + "3 1024 49.371681 3.053242\n", + "4 1280 111.730354 4.155525\n", + ".. ... ... ...\n", + "59 15360 267.599518 2.319973\n", + "60 15616 268.269440 2.898224\n", + "61 15872 267.012878 4.683553\n", + "62 16128 267.320831 4.209327\n", + "63 16384 268.287537 3.332946\n", + "\n", + "[64 rows x 3 columns]" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "matmul_results_dict = defaultdict(list)\n", + "for m in matmul_trial.iter_metrics(\"matmul\"):\n", + " matmul_results_dict[\"d_model\"].append(m.metrics[\"d_model\"])\n", + " matmul_results_dict[\"TFLOP/sec/GPU\"].append(m.metrics[\"tflop_s_gpu\"])\n", + " matmul_results_dict[\"TFLOP/sec/GPU_std\"].append(m.metrics[\"tflop_s_gpu_std\"])\n", + "matmul_results_df = pd.DataFrame.from_dict(matmul_results_dict)\n", + "matmul_results_df" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "d47fdb30-a4be-493e-8a02-7e190c75c82c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "matmul_plot = sns.scatterplot(matmul_results_df, x=\"d_model\", y=\"TFLOP/sec/GPU\")\n", + "plt.suptitle(\"Square Matmul TFLOP/sec\")\n", + "matmul_plot.axhline(y=312, color=\"r\", linestyle=\"--\")\n", + "matmul_plot.figure.savefig(\"matmul.png\", dpi=256, bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "markdown", + "id": "a309a6fa-8bd7-4559-b2e1-3774f0f530f8", + "metadata": {}, + "source": [ + "## MLP TP Plots" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "5024162f-4d26-4d0e-a78d-6444e62248d7", + "metadata": {}, + "outputs": [], + "source": [ + "mlp_tp_trial = projects_dict[\"MLP TP Profiling\"].list_experiments()[0].list_trials()[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "10445d10-70ba-4163-bfc4-a14cc3f7b64c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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tp_degreed_modeltime_sTFLOP/sec/GPUTFLOP/sec/GPU_std
0110240.000491139.8358921.208936
1115360.000961160.9136660.919665
2120480.001656165.9900970.204373
3125600.002080206.5267184.208575
4130720.002965208.6598972.857500
..................
1198143360.008191205.5562441.832598
1208148480.008675208.1950991.696985
1218153600.009086212.7532812.861620
1228158720.009951207.4303282.573814
1238163840.010364212.2179263.049248
\n", + "

124 rows × 5 columns

\n", + "
" + ], + "text/plain": [ + " tp_degree d_model time_s TFLOP/sec/GPU TFLOP/sec/GPU_std\n", + "0 1 1024 0.000491 139.835892 1.208936\n", + "1 1 1536 0.000961 160.913666 0.919665\n", + "2 1 2048 0.001656 165.990097 0.204373\n", + "3 1 2560 0.002080 206.526718 4.208575\n", + "4 1 3072 0.002965 208.659897 2.857500\n", + ".. ... ... ... ... ...\n", + "119 8 14336 0.008191 205.556244 1.832598\n", + "120 8 14848 0.008675 208.195099 1.696985\n", + "121 8 15360 0.009086 212.753281 2.861620\n", + "122 8 15872 0.009951 207.430328 2.573814\n", + "123 8 16384 0.010364 212.217926 3.049248\n", + "\n", + "[124 rows x 5 columns]" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mlp_tp_results_dict = defaultdict(list)\n", + "for group in (f\"tp_degree_{n}\" for n in (1, 2, 4, 8)):\n", + " for m in mlp_tp_trial.iter_metrics(group):\n", + " mlp_tp_results_dict[\"tp_degree\"].append(m.metrics[\"tp_degree\"])\n", + " mlp_tp_results_dict[\"d_model\"].append(m.metrics[\"d_model\"])\n", + " mlp_tp_results_dict[\"time_s\"].append(m.metrics[\"time_s\"])\n", + " mlp_tp_results_dict[\"TFLOP/sec/GPU\"].append(m.metrics[\"tflop_s_gpu\"])\n", + " mlp_tp_results_dict[\"TFLOP/sec/GPU_std\"].append(m.metrics[\"tflop_s_gpu_std\"])\n", + "mlp_tp_results_df = pd.DataFrame.from_dict(mlp_tp_results_dict)\n", + "mlp_tp_results_df" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "ed6b17bc-5ddf-470c-9aaa-cfc0529367fb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mlp_tp_plot = sns.lineplot(mlp_tp_results_df,\n", + " x=\"d_model\",\n", + " y=\"TFLOP/sec/GPU\",\n", + " hue=\"tp_degree\",\n", + " palette=[\"blue\", \"orange\", \"purple\",\n", + " \"black\"])\n", + "plt.suptitle(\"MLP TFLOP/sec/GPU, batch_size=1, seq_len=4096\")\n", + "mlp_tp_plot.axhline(y=312, color=\"r\", linestyle=\"--\")\n", + "mlp_tp_plot.figure.savefig(\"mlp_tp.png\", dpi=256, bbox_inches=\"tight\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.12.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/blog/tp/test_dot_product_distributed.py b/blog/tp/test_dot_product_distributed.py index 9d02454..eff58a1 100644 --- a/blog/tp/test_dot_product_distributed.py +++ b/blog/tp/test_dot_product_distributed.py @@ -1,6 +1,6 @@ """ -A sharded dot-product computed over multiple processes. Uses CPU, the gloo backend, and -multi-processing, so that the code can run anywhere. +A sharded dot-product with intermediate activation function computed over multiple processes. Uses +CPU, the gloo backend, and multi-processing, so that the code can run anywhere. """ import os @@ -27,6 +27,7 @@ def compute_dot_product(rank: int): assert ( not D_MODEL % WORLD_SIZE ), f"Choose D_MODEL to be divisible by WORLD_SIZE {D_MODEL % WORLD_SIZE=}." + act_fn = torch.nn.GELU() # Setup: populate the same tensors on all devices. The full tensors will be used to check # correctness. @@ -41,14 +42,14 @@ def compute_dot_product(rank: int): # Compute the dot-product via collectives. # Each rank first computes their local dot-product using the available shards: - c = a_sharded @ b_sharded + c = a_sharded @ act_fn(b_sharded) # The computation is completed by summing over processes: dist.init_process_group(backend="gloo") dist.all_reduce(c) # Test correctness: - torch.testing.assert_close(c, a @ b) + torch.testing.assert_close(c, a @ act_fn(b)) return f"Correct results on {rank=}" diff --git a/blog/tp/test_dot_product_local.py b/blog/tp/test_dot_product_local.py index 11e78e5..af0cea1 100644 --- a/blog/tp/test_dot_product_local.py +++ b/blog/tp/test_dot_product_local.py @@ -1,26 +1,30 @@ """ -Demonstrating the equivalence of a basic dot product and a sharded-version of the same dot product. +Demonstrating the equivalence of a basic dot product with intermediate activation function and a +sharded-version of the same calculation. """ import torch D_MODEL = 128 +RANKS = 4 if __name__ == "__main__": a = torch.randn(D_MODEL) b = torch.randn(D_MODEL) + act_fn = torch.nn.GELU() # The dot-product, two different ways - c_0 = a @ b - c_1 = (a * b).sum() + dot_0 = a @ act_fn(b) + dot_1 = (a * act_fn(b)).sum() - a_sharded = a.reshape(2, D_MODEL // 2) - b_sharded = b.reshape(2, D_MODEL // 2) + a_sharded = a.reshape(RANKS, D_MODEL // RANKS) + b_sharded = b.reshape(RANKS, D_MODEL // RANKS) # More equivalent dot-products, using the sharded tensors. - c_2 = (a_sharded * b_sharded).sum() - c_3 = (a_sharded @ b_sharded.T).trace() - c_4 = (a_sharded.T @ b_sharded).trace() + dot_2 = (a_sharded * act_fn(b_sharded)).sum() + dot_3 = (a_sharded @ act_fn(b_sharded).T).trace() + dot_4 = (a_sharded.T @ act_fn(b_sharded)).trace() - for dot_prod in (c_1, c_2, c_3, c_4): - torch.testing.assert_close(c_0, dot_prod) + for dot_prod in (dot_1, dot_2, dot_3, dot_4): + torch.testing.assert_close(dot_0, dot_prod) + print("Correct results") diff --git a/blog/tp/tp_profiling.py b/blog/tp/tp_profiling.py new file mode 100644 index 0000000..9bed9e5 --- /dev/null +++ b/blog/tp/tp_profiling.py @@ -0,0 +1,155 @@ +import gc +import logging +import os + +import determined as det +import torch +import torch.distributed as dist + +import layers +import utils + +""" +Script for profiling the forward pass of TP MLP layers. Measures the iteration time and computes the +TFLOPs/sec/GPU for all availbable MLP configurations sharded across power-of-two GPUs (including +including the single GPU, non-TP case). + +Only intended for single-node use. +""" + + +def profile_and_report( + core_context: det.core.Context, + batch_size: int, + seq_len: int, + d_model: int, + num_repeats: int, + num_warmups: int, + device: torch.device, + rank: int, + tp_degree: int, + pg_dict: dict[int, dist.ProcessGroup], + dtype: torch.dtype = torch.bfloat16, +) -> None: + # This rank doesn't participate if it's not in the TP group. + if rank >= tp_degree: + return + + inputs = torch.randn(batch_size, seq_len, d_model, device=device, dtype=dtype) + if tp_degree == 1: + mlp = layers.MLP(d_model=d_model, dtype=dtype, device=device) + else: + mlp = layers.MLPTP(d_model=d_model, dtype=dtype, device=device, group=pg_dict[tp_degree]) + + # Use CUDA events for accurate timing. + timer = utils.CUDAEventTimer() + + # Warmups + for _ in range(num_warmups): + mlp(inputs) + + # Timed region. + for _ in range(num_repeats): + with timer: + mlp(inputs) + + # Mean and std TFLOP computations + mlp_flops = 16 * batch_size * seq_len * d_model**2 + time_s_t = torch.tensor(timer.time_s_list) + tflop_s_gpu_t = mlp_flops / time_s_t / 1e12 / tp_degree + metrics = { + "d_model": d_model, + "seq_len": seq_len, + "batch_size": batch_size, + "tp_degree": tp_degree, + "time_s": timer.time_s_mean, + "time_s_std": timer.time_s_std, + "tflop_s_gpu": tflop_s_gpu_t.mean().item(), + "tflop_s_gpu_std": tflop_s_gpu_t.std().item(), + } + + # report metrics on rank zero. Use d_model as the x-axis for plotting purposes. + if not rank: + core_context.train.report_metrics( + group=f"tp_degree_{tp_degree}", steps_completed=d_model, metrics=metrics + ) + + # Memory management + del mlp + del inputs + gc.collect() + torch.cuda.empty_cache() + + +def main( + core_context: det.core.Context, + batch_size: int, + seq_len: int, + d_model_min: int, + d_model_max: int, + d_model_step: int, + num_repeats: int, + num_warmups: int, +) -> None: + world_size = int(os.environ["WORLD_SIZE"]) + rank = int(os.environ["RANK"]) + device = torch.device(f"cuda:{rank}") + torch.cuda.set_device(device) + + # Profile every possible power-of-2 TP group size + def is_power_of_two(n: int) -> bool: + return n & (n - 1) == 0 + + tp_degrees = [n for n in range(1, world_size + 1) if is_power_of_two(n)] + # Create the non-trivial process groups + pg_dict = { + tp_degree: dist.new_group(list(range(tp_degree)), backend="nccl") + for tp_degree in tp_degrees + if tp_degree > 1 + } + + for tp_degree in tp_degrees: + for d_model in range(d_model_min, d_model_max + 1, d_model_step): + profile_and_report( + core_context=core_context, + batch_size=batch_size, + seq_len=seq_len, + d_model=d_model, + num_repeats=num_repeats, + num_warmups=num_warmups, + rank=rank, + tp_degree=tp_degree, + pg_dict=pg_dict, + device=device, + ) + + +if __name__ == "__main__": + info = det.get_cluster_info() + assert info, "This script must run on a determined cluster." + hparams = info.trial.hparams + + # Set up determined's distributed code, if needed + try: + distributed = det.core.DistributedContext.from_torch_distributed() + dist.init_process_group("nccl") + except KeyError: + distributed = None + + try: + with det.core.init(distributed=distributed) as core_context: + logging.basicConfig(level=logging.INFO, format=det.LOG_FORMAT) + + main( + core_context=core_context, + batch_size=hparams["batch_size"], + seq_len=hparams["seq_len"], + d_model_min=hparams["d_model_min"], + d_model_max=hparams["d_model_max"], + d_model_step=hparams["d_model_step"], + num_repeats=hparams["num_repeats"], + num_warmups=hparams["num_warmups"], + ) + finally: + if distributed is not None: + dist.destroy_process_group() diff --git a/blog/tp/tp_profiling.yaml b/blog/tp/tp_profiling.yaml new file mode 100644 index 0000000..b90680b --- /dev/null +++ b/blog/tp/tp_profiling.yaml @@ -0,0 +1,22 @@ +name: MLP TP Profiling +# Adjust the workspace and project names, as appropriate. +workspace: TP Blog Post +project: MLP TP Profiling +resources: + slots_per_trial: 8 +searcher: + name: single + metric: not_used + max_length: 1 +hyperparameters: + batch_size: 1 + seq_len: 4096 + d_model_min: 1024 + d_model_max: 16384 + d_model_step: 512 + num_warmups: 5 + num_repeats: 100 +entrypoint: >- + python3 -m determined.launch.torch_distributed + python3 tp_profiling.py +max_restarts: 0 diff --git a/blog/tp/utils.py b/blog/tp/utils.py new file mode 100644 index 0000000..77e42d6 --- /dev/null +++ b/blog/tp/utils.py @@ -0,0 +1,68 @@ +import torch + + +class CUDAEventTimer: + """ + Helper class for timing CUDA operations. + + Example usage: + + ```python + # Time with `start` and `stop` methods: + + timer = CUDAEventTimer() + for iteration in range(repeats): + timer.start() + # Do some computation here + timer.stop() + time_list_s = timer.time_list_s # List of each iteration's duration in seconds + time_s_mean= timer.mean_time_s + + + # Or use as a context manager: + timer = CUDAEventTimer() + with timer: + # Do some computation here + elapsed_time_s = timer.total_time_s + ``` + """ + + def __init__(self) -> None: + self._start_events: list[torch.cuda.Event] = [] + self._end_events: list[torch.cuda.Event] = [] + + @property + def time_s_list(self) -> list[float]: + # https://discuss.pytorch.org/t/how-to-measure-time-in-pytorch/26964/11 + torch.cuda.synchronize() + time_list_s = [ + s.elapsed_time(e) / 1e3 for s, e in zip(self._start_events, self._end_events) + ] + return time_list_s + + @property + def time_s_total(self) -> float: + total_time_s = sum(self.time_s_list) + return total_time_s + + @property + def time_s_mean(self) -> float: + return self.time_s_total / len(self._start_events) + + @property + def time_s_std(self) -> float: + return torch.tensor(self.time_s_list).std().item() + + def start(self) -> None: + self._start_events.append(torch.cuda.Event(enable_timing=True)) + self._end_events.append(torch.cuda.Event(enable_timing=True)) + self._start_events[-1].record() + + def stop(self) -> None: + self._end_events[-1].record() + + def __enter__(self) -> None: + self.start() + + def __exit__(self, *args, **kwargs) -> None: + self.stop() From fdbd663103e4ee209224cef66f34d5d332c1bdac Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Fri, 28 Jun 2024 15:11:48 -0400 Subject: [PATCH 07/12] update plots, requirements --- blog/tp/mlp_tp.png | Bin 197246 -> 203135 bytes blog/tp/plots.ipynb | 126 ++++++++++++------------ blog/tp/requirements.txt | 153 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"id": "d94ce58b-497c-46de-ac9d-57c8a2c053e1", "metadata": {}, "outputs": [], @@ -76,7 +76,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 4, "id": "996c7686-7c1d-4de2-8a8a-f46453272b41", "metadata": {}, "outputs": [ @@ -195,7 +195,7 @@ "[64 rows x 3 columns]" ] }, - "execution_count": 56, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -212,7 +212,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 5, "id": "d47fdb30-a4be-493e-8a02-7e190c75c82c", "metadata": {}, "outputs": [ @@ -244,7 +244,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 6, "id": "5024162f-4d26-4d0e-a78d-6444e62248d7", "metadata": {}, "outputs": [], @@ -254,7 +254,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 7, "id": "10445d10-70ba-4163-bfc4-a14cc3f7b64c", "metadata": {}, "outputs": [ @@ -292,40 +292,40 @@ " 1\n", " 1024\n", " 0.000491\n", - " 139.835892\n", - " 1.208936\n", + " 139.870193\n", + " 1.172034\n", " \n", " \n", " 1\n", " 1\n", " 1536\n", - " 0.000961\n", - " 160.913666\n", - " 0.919665\n", + " 0.000964\n", + " 160.353287\n", + " 0.146257\n", " \n", " \n", " 2\n", " 1\n", " 2048\n", - " 0.001656\n", - " 165.990097\n", - " 0.204373\n", + " 0.001676\n", + " 164.016388\n", + " 0.180934\n", " \n", " \n", " 3\n", " 1\n", " 2560\n", - " 0.002080\n", - " 206.526718\n", - " 4.208575\n", + " 0.002064\n", + " 208.131500\n", + " 4.024769\n", " \n", " \n", " 4\n", " 1\n", " 3072\n", - " 0.002965\n", - " 208.659897\n", - " 2.857500\n", + " 0.002946\n", + " 209.973938\n", + " 3.281300\n", " \n", " \n", " ...\n", @@ -336,68 +336,68 @@ " ...\n", " \n", " \n", - " 119\n", + " 151\n", " 8\n", - " 14336\n", - " 0.008191\n", - " 205.556244\n", - " 1.832598\n", + " 18432\n", + " 0.012904\n", + " 215.706558\n", + " 2.184307\n", " \n", " \n", - " 120\n", + " 152\n", " 8\n", - " 14848\n", - " 0.008675\n", - " 208.195099\n", - " 1.696985\n", + " 18944\n", + " 0.013567\n", + " 216.735992\n", + " 2.677620\n", " \n", " \n", - " 121\n", + " 153\n", " 8\n", - " 15360\n", - " 0.009086\n", - " 212.753281\n", - " 2.861620\n", + " 19456\n", + " 0.014601\n", + " 212.439178\n", + " 3.417566\n", " \n", " \n", - " 122\n", + " 154\n", " 8\n", - " 15872\n", - " 0.009951\n", - " 207.430328\n", - " 2.573814\n", + " 19968\n", + " 0.015163\n", + " 215.455200\n", + " 3.120895\n", " \n", " \n", - " 123\n", + " 155\n", " 8\n", - " 16384\n", - " 0.010364\n", - " 212.217926\n", - " 3.049248\n", + " 20480\n", + " 0.015707\n", + " 218.786560\n", + " 2.498470\n", " \n", " \n", "\n", - "

124 rows × 5 columns

\n", + "

156 rows × 5 columns

\n", "" ], "text/plain": [ " tp_degree d_model time_s TFLOP/sec/GPU TFLOP/sec/GPU_std\n", - "0 1 1024 0.000491 139.835892 1.208936\n", - "1 1 1536 0.000961 160.913666 0.919665\n", - "2 1 2048 0.001656 165.990097 0.204373\n", - "3 1 2560 0.002080 206.526718 4.208575\n", - "4 1 3072 0.002965 208.659897 2.857500\n", + "0 1 1024 0.000491 139.870193 1.172034\n", + "1 1 1536 0.000964 160.353287 0.146257\n", + "2 1 2048 0.001676 164.016388 0.180934\n", + "3 1 2560 0.002064 208.131500 4.024769\n", + "4 1 3072 0.002946 209.973938 3.281300\n", ".. ... ... ... ... ...\n", - "119 8 14336 0.008191 205.556244 1.832598\n", - "120 8 14848 0.008675 208.195099 1.696985\n", - "121 8 15360 0.009086 212.753281 2.861620\n", - "122 8 15872 0.009951 207.430328 2.573814\n", - "123 8 16384 0.010364 212.217926 3.049248\n", + "151 8 18432 0.012904 215.706558 2.184307\n", + "152 8 18944 0.013567 216.735992 2.677620\n", + "153 8 19456 0.014601 212.439178 3.417566\n", + "154 8 19968 0.015163 215.455200 3.120895\n", + "155 8 20480 0.015707 218.786560 2.498470\n", "\n", - "[124 rows x 5 columns]" + "[156 rows x 5 columns]" ] }, - "execution_count": 80, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -417,13 +417,13 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 8, "id": "ed6b17bc-5ddf-470c-9aaa-cfc0529367fb", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] diff --git a/blog/tp/requirements.txt b/blog/tp/requirements.txt index ec837a8..2de173a 100644 --- a/blog/tp/requirements.txt +++ b/blog/tp/requirements.txt @@ -1,14 +1,167 @@ +analytics-python==1.4.post1 +anyio==4.4.0 +appdirs==1.4.4 +appnope==0.1.4 +argcomplete==3.4.0 +argon2-cffi==23.1.0 +argon2-cffi-bindings==21.2.0 +arrow==1.3.0 +asttokens==2.4.1 +async-lru==2.0.4 +attrs==23.2.0 +azure-core==1.30.2 +azure-storage-blob==12.20.0 +Babel==2.15.0 +backoff==1.10.0 +bcrypt==4.1.3 +beautifulsoup4==4.12.3 +bleach==6.1.0 +boto3==1.34.135 +botocore==1.34.135 +cachetools==5.3.3 +certifi==2024.6.2 +cffi==1.16.0 +charset-normalizer==3.3.2 +comm==0.2.2 +contourpy==1.2.1 +cryptography==42.0.8 +cycler==0.12.1 +debugpy==1.8.2 +decorator==5.1.1 +defusedxml==0.7.1 +determined==0.33.0 +docker==7.1.0 einops==0.8.0 +executing==2.0.1 +fastjsonschema==2.20.0 filelock==3.14.0 +fonttools==4.53.0 +fqdn==1.5.1 fsspec==2024.5.0 +gitdb==4.0.11 +GitPython==3.1.43 +google-api-core==2.19.1 +google-api-python-client==2.134.0 +google-auth==2.30.0 +google-auth-httplib2==0.2.0 +google-cloud-core==2.4.1 +google-cloud-storage==2.17.0 +google-crc32c==1.5.0 +google-resumable-media==2.7.1 +googleapis-common-protos==1.63.2 +h11==0.14.0 +httpcore==1.0.5 +httplib2==0.22.0 +httpx==0.27.0 +idna==3.7 iniconfig==2.0.0 +ipykernel==6.29.4 +ipython==8.24.0 +ipywidgets==8.1.3 +isodate==0.6.1 +isoduration==20.11.0 +jedi==0.19.1 Jinja2==3.1.4 +jmespath==1.0.1 +json5==0.9.25 +jsonpointer==3.0.0 +jsonschema==4.22.0 +jsonschema-specifications==2023.12.1 +jupyter==1.0.0 +jupyter-console==6.6.3 +jupyter-events==0.10.0 +jupyter-lsp==2.2.5 +jupyter_client==8.6.2 +jupyter_core==5.7.2 +jupyter_server==2.14.1 +jupyter_server_terminals==0.5.3 +jupyterlab==4.2.3 +jupyterlab_pygments==0.3.0 +jupyterlab_server==2.27.2 +jupyterlab_widgets==3.0.11 +kiwisolver==1.4.5 +lomond==0.3.3 MarkupSafe==2.1.5 +matplotlib==3.9.0 +matplotlib-inline==0.1.7 +mistune==3.0.2 +monotonic==1.6 mpmath==1.3.0 +nbclient==0.10.0 +nbconvert==7.16.4 +nbformat==5.10.4 +nest-asyncio==1.6.0 networkx==3.3 +notebook==7.2.1 +notebook_shim==0.2.4 +numpy==2.0.0 +overrides==7.7.0 packaging==24.0 +pandas==2.2.2 +pandocfilters==1.5.1 +paramiko==3.4.0 +parso==0.8.4 +pathspec==0.12.1 +pexpect==4.9.0 +pillow==10.3.0 +platformdirs==4.2.2 pluggy==1.5.0 +prometheus_client==0.20.0 +prompt_toolkit==3.0.45 +proto-plus==1.24.0 +protobuf==5.27.2 +psutil==6.0.0 +ptyprocess==0.7.0 +pure-eval==0.2.2 +pyasn1==0.6.0 +pyasn1_modules==0.4.0 +pycparser==2.22 +Pygments==2.18.0 +PyNaCl==1.5.0 +pyOpenSSL==24.1.0 +pyparsing==3.1.2 pytest==8.2.1 +python-dateutil==2.9.0.post0 +python-json-logger==2.0.7 +pytz==2024.1 +PyYAML==6.0.1 +pyzmq==26.0.3 +qtconsole==5.5.2 +QtPy==2.4.1 +referencing==0.35.1 +requests==2.31.0 +rfc3339-validator==0.1.4 +rfc3986-validator==0.1.1 +rpds-py==0.18.1 +rsa==4.9 +ruamel.yaml==0.18.6 +ruamel.yaml.clib==0.2.8 +s3transfer==0.10.2 +seaborn==0.13.2 +Send2Trash==1.8.3 +setuptools==70.1.1 +six==1.16.0 +smmap==5.0.1 +sniffio==1.3.1 +soupsieve==2.5 +stack-data==0.6.3 sympy==1.12.1 +tabulate==0.9.0 +termcolor==2.4.0 +terminado==0.18.1 +tinycss2==1.3.0 torch==2.3.0 +tornado==6.4.1 +tqdm==4.66.4 +traitlets==5.14.3 +types-python-dateutil==2.9.0.20240316 typing_extensions==4.12.0 +tzdata==2024.1 +uri-template==1.3.0 +uritemplate==4.1.1 +urllib3==2.2.2 +wcwidth==0.2.13 +webcolors==24.6.0 +webencodings==0.5.1 +websocket-client==1.8.0 +widgetsnbextension==4.0.11 diff --git a/blog/tp/test_dot_product_local.py b/blog/tp/test_dot_product_local.py index af0cea1..8d9f43e 100644 --- a/blog/tp/test_dot_product_local.py +++ b/blog/tp/test_dot_product_local.py @@ -13,18 +13,20 @@ b = torch.randn(D_MODEL) act_fn = torch.nn.GELU() - # The dot-product, two different ways + # The dot-product, different ways dot_0 = a @ act_fn(b) dot_1 = (a * act_fn(b)).sum() + dot_2 = torch.einsum("i, i", a, act_fn(b)) a_sharded = a.reshape(RANKS, D_MODEL // RANKS) b_sharded = b.reshape(RANKS, D_MODEL // RANKS) # More equivalent dot-products, using the sharded tensors. - dot_2 = (a_sharded * act_fn(b_sharded)).sum() - dot_3 = (a_sharded @ act_fn(b_sharded).T).trace() - dot_4 = (a_sharded.T @ act_fn(b_sharded)).trace() + dot_3 = (a_sharded * act_fn(b_sharded)).sum() + dot_4 = (a_sharded @ act_fn(b_sharded).T).trace() + dot_5 = (a_sharded.T @ act_fn(b_sharded)).trace() + dot_6 = torch.einsum("ij, ij", a_sharded, act_fn(b_sharded)) - for dot_prod in (dot_1, dot_2, dot_3, dot_4): + for dot_prod in (dot_1, dot_2, dot_3, dot_4, dot_5, dot_6): torch.testing.assert_close(dot_0, dot_prod) print("Correct results") diff --git a/blog/tp/tp_profiling.py b/blog/tp/tp_profiling.py index 9bed9e5..14854a4 100644 --- a/blog/tp/tp_profiling.py +++ b/blog/tp/tp_profiling.py @@ -110,6 +110,8 @@ def is_power_of_two(n: int) -> bool: for tp_degree in tp_degrees: for d_model in range(d_model_min, d_model_max + 1, d_model_step): + dist.barrier() + torch.cuda.synchronize() profile_and_report( core_context=core_context, batch_size=batch_size, diff --git a/blog/tp/tp_profiling.yaml b/blog/tp/tp_profiling.yaml index b90680b..eb3c29a 100644 --- a/blog/tp/tp_profiling.yaml +++ b/blog/tp/tp_profiling.yaml @@ -12,7 +12,7 @@ hyperparameters: batch_size: 1 seq_len: 4096 d_model_min: 1024 - d_model_max: 16384 + d_model_max: 20480 d_model_step: 512 num_warmups: 5 num_repeats: 100 From b57c6ff4612b4df16afd342fb637279a335aa1bf Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Fri, 28 Jun 2024 15:12:20 -0400 Subject: [PATCH 08/12] delete old scripts --- blog/tp/act_mem.py | 127 ---------------------------------------- blog/tp/attn_script.py | 30 ---------- blog/tp/block_script.py | 44 -------------- 3 files changed, 201 deletions(-) delete mode 100644 blog/tp/act_mem.py delete mode 100644 blog/tp/attn_script.py delete mode 100644 blog/tp/block_script.py diff --git a/blog/tp/act_mem.py b/blog/tp/act_mem.py deleted file mode 100644 index 479aad3..0000000 --- a/blog/tp/act_mem.py +++ /dev/null @@ -1,127 +0,0 @@ -from typing import Any, Iterable, Optional, Union - -import torch - - -def B_to_GiB(bytes: Union[int, float]) -> float: - return bytes / 2**30 - - -def get_tensor_bytes(tensor: torch.Tensor) -> int: - """ - Returns the bytes of storage a given tensor takes up. If `tensor` is a view of a larger tensor, - this function only returns the bytes associated with the view. - """ - tensor_bytes = tensor.numel() * tensor.element_size() - return tensor_bytes - - -class AllocatedMemContext: - """ - Context manager which captures the allocated GPU memory at context exit and the change between - enter and exit. - - Only includes `allocated_bytes.all.`-prefixed keys in `memory_stats` with all readings converted - to GiB. - - Example: - - ```python - - ``` - """ - - def __init__(self) -> None: - # Ensure CUDA libraries are loaded: - torch.cuda.current_blas_handle() - - self.before: dict[str, int] = {} - self.after: dict[str, int] = {} - self.delta: dict[str, int] = {} - - self._mem_key_prefix = "allocated_bytes.all." - - def _get_mem_dict(self) -> dict[str, int]: - return { - k.replace(self._mem_key_prefix, ""): v - for k, v in torch.cuda.memory_stats().items() - if self._mem_key_prefix in k - } - - def __enter__(self) -> "AllocatedMemContext": - self.before = self._get_mem_dict() - return self - - def __exit__(self, *args: Any, **kwargs: Any) -> None: - self.after = self._get_mem_dict() - self.delta = {k: v - self.before[k] for k, v in self.after.items()} - - -class SavedTensorContext: - """ - Context manager which captures all tensors which are registered as being saved for backwards - within the context window. Does not work with `meta`-device tensors. - - All saved tensors are stored in the `saved_tensor_dict` attr, which is an instance of torch's - WeakTensorKeyDictionary with tensor/data_ptr key/value pairs. Some of these tensors may be - views of the same underlying storage. The total memory of all saved tensors in bytes, accounting - for redundant views, can be accessed through `saved_tensor_mem`. - - Use: - ``` - model = ... - with SavedTensorContext(ignored_tensors=model.parameters()) as saved: - # Do some computation with `model` and capture saved tensors which are not model weights - - ``` - saved.saved_tensor_dict # WeakTensorKeyDictionary of all saved tensors. - saved.saved_tensor_mem # bytes from all saved tensors (activation memory). - """ - - def __init__( - self, - ignored_tensors: Optional[Iterable[torch.Tensor]] = None, - ) -> None: - # Track ignored tensors by their storage's data_ptr. Important to use storage's data_ptr, - # not just the data_ptr of the tensor itself. - self._ignored_data_ptrs = ( - set() - if ignored_tensors is None - else {t.untyped_storage().data_ptr() for t in ignored_tensors} - ) - - # Use WeakTensorKeyDictionary instances to save non-trivial tensor references, since these - # won't keep the tensor alive if the only references to the tensor are within this object. - self.saved_tensor_dict = torch.utils.weak.WeakTensorKeyDictionary() - - def pack_hook(saved_tensor: torch.Tensor) -> torch.Tensor: - data_ptr = saved_tensor.untyped_storage().data_ptr() - if data_ptr not in self._ignored_data_ptrs: - self.saved_tensor_dict[saved_tensor] = data_ptr - return saved_tensor - - def unpack_hook(saved_tensor: torch.Tensor) -> torch.Tensor: - return saved_tensor - - self._saved_tensors_hook = torch.autograd.graph.saved_tensors_hooks(pack_hook, unpack_hook) - - def __enter__(self) -> "SavedTensorContext": - self._saved_tensors_hook.__enter__() - return self - - def __exit__(self, *args: Any, **kwargs: Any) -> None: - self._saved_tensors_hook.__exit__(*args, **kwargs) - - @property - def saved_tensor_mem(self) -> int: - """ - The memory in bytes of all saved tensors, accounting for views into the same storage. - """ - accounted_for = self._ignored_data_ptrs.copy() - total_bytes = 0 - for t in self.saved_tensor_dict: - data_ptr = t.untyped_storage().data_ptr() - if data_ptr not in accounted_for: - total_bytes += t.untyped_storage().nbytes() - accounted_for.add(data_ptr) - return total_bytes diff --git a/blog/tp/attn_script.py b/blog/tp/attn_script.py deleted file mode 100644 index d498ac5..0000000 --- a/blog/tp/attn_script.py +++ /dev/null @@ -1,30 +0,0 @@ -import torch - -import act_mem -import layers - -if __name__ == "__main__": - batch_size, seq_len, d_model, n_heads = 2, 4096, 1024, 32 - dtype = torch.bfloat16 - inputs = torch.randn( - batch_size, - seq_len, - d_model, - device="cuda", - requires_grad=True, - dtype=dtype, - ) - - attn = layers.Attention( - d_model=d_model, - n_heads=n_heads, - device="cuda", - dtype=dtype, - ) - with act_mem.AllocatedMemContext() as mem, act_mem.SavedTensorContext( - ignored_tensors=attn.parameters() - ) as saved: - out = attn(inputs) - print(f'{mem.delta["current"]=}') - print(f"{saved.saved_tensor_mem=}") - print(f"{saved.saved_tensor_mem/out.numel()=}") diff --git a/blog/tp/block_script.py b/blog/tp/block_script.py deleted file mode 100644 index 1145ffb..0000000 --- a/blog/tp/block_script.py +++ /dev/null @@ -1,44 +0,0 @@ -""" -Prints out the ratio of activation memory for the a transformer Block when using ReLU vs GELU. -""" - -import torch -import torch.nn as nn - -import act_mem -import layers - -if __name__ == "__main__": - batch_size, seq_len, d_model, n_heads = 2, 4096, 1024, 2 - dtype = torch.bfloat16 - inputs = torch.randn( - batch_size, - seq_len, - d_model, - device="cuda", - requires_grad=True, - dtype=dtype, - ) - - act_fn_dict = {"ReLU": nn.ReLU(), "GELU": nn.GELU()} - # Append outputs to a list to keep tensors alive - outputs = [] - mem_bytes = [] - - for name, act_fn in act_fn_dict.items(): - block = layers.Block( - d_model=d_model, - act_fn=act_fn, - n_heads=n_heads, - device="cuda", - dtype=dtype, - ) - with act_mem.AllocatedMemContext() as mem, act_mem.SavedTensorContext( - ignored_tensors=block.parameters() - ) as saved: - out = block(inputs) - outputs.append(out) - print(f"{name} block bytes: {saved.saved_tensor_mem}") - mem_bytes.append(saved.saved_tensor_mem) - - print(f"ReLU/GeLU block act mem ratio: {mem_bytes[0]/mem_bytes[1]}") From d6dc959b952c2daba1460f5113a97ee38ced9a53 Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Fri, 28 Jun 2024 15:15:05 -0400 Subject: [PATCH 09/12] delete more old files, update readme --- blog/tp/README.md | 15 ++- blog/tp/mlp_script.py | 44 --------- blog/tp/pyproject.toml | 32 ------- blog/tp/test.py | 203 ----------------------------------------- 4 files changed, 6 insertions(+), 288 deletions(-) delete mode 100644 blog/tp/mlp_script.py delete mode 100644 blog/tp/pyproject.toml delete mode 100644 blog/tp/test.py diff --git a/blog/tp/README.md b/blog/tp/README.md index 07f1547..6ed42c1 100644 --- a/blog/tp/README.md +++ b/blog/tp/README.md @@ -1,11 +1,8 @@ -# Activation Memory: Part 2 +# Tensor Parallelism -Code accompanying the deep-dive [blog post on activation memory](https://determined.ai/blog/act-mem-2). +Code accompanying the deep-dive [blog post on Tensor Parallelism](https://determined.ai/blog/tp). -- The main utility code is in `act_mem.py`. -- Basic transformer layers are implemented in `layers.py`. -- The scripts `{block,mlp}_script.py` demonstrate how replacing `GELU` with `ReLU` affects activation -memory. -- `attn_script.py` shows the cost of activation memory in the attention layer. -- Tests of the code are in `test.py`. -- See `requirements.txt` for versions the code was built against. +- The MLP and TP MLP layers are in `layer.py` +- Matmul profiling code in `matmul_profiling.py` +- MLP TP profiling code in `tp_profiling.py` +- Tests of the rearranging tensor sums are in `test_dot_product_{local,distributed}.py` diff --git a/blog/tp/mlp_script.py b/blog/tp/mlp_script.py deleted file mode 100644 index 1d35f43..0000000 --- a/blog/tp/mlp_script.py +++ /dev/null @@ -1,44 +0,0 @@ -""" -Prints out the ratio of activation memory for the MLP layer when using ReLU vs GELU. -""" - -import torch -import torch.nn as nn - -import act_mem -import layers - -if __name__ == "__main__": - batch_size, seq_len, d_model = 2, 4096, 1024 - dtype = torch.bfloat16 - inputs = torch.randn( - batch_size, - seq_len, - d_model, - device="cuda", - requires_grad=True, - dtype=dtype, - ) - - act_fn_dict = {"ReLU": nn.ReLU(), "GELU": nn.GELU()} - # Append outputs to a list to keep tensors alive - outputs = [] - mem_bytes = [] - - for name, act_fn in act_fn_dict.items(): - mlp = layers.MLP( - d_model=d_model, - act_fn=act_fn, - device="cuda", - dtype=dtype, - ) - with act_mem.AllocatedMemContext() as mem, act_mem.SavedTensorContext( - ignored_tensors=mlp.parameters() - ) as saved: - out = mlp(inputs) - outputs.append(out) - assert mem.delta["current"] == saved.saved_tensor_mem - print(f"{name} bytes: {saved.saved_tensor_mem}") - mem_bytes.append(saved.saved_tensor_mem) - - print(f"ReLU/GELU act mem ratio: {mem_bytes[0]/mem_bytes[1]}") diff --git a/blog/tp/pyproject.toml b/blog/tp/pyproject.toml deleted file mode 100644 index 62c92bf..0000000 --- a/blog/tp/pyproject.toml +++ /dev/null @@ -1,32 +0,0 @@ -[tool.ruff] -line-length = 100 - -[tool.ruff.lint] -select = [ - # pycodestyle - "E", - # Pyflakes - "F", - # flake8-bugbear - "B", - # isort - "I", -] - -[tool.ruff.per-file-ignores] -# Ignore import violations in all `__init__.py` files -"__init__.py" = ["E402", "F401"] - -[tool.mypy] -python_version = "3.9" -follow_imports = "silent" -ignore_missing_imports = "True" -check_untyped_defs = "True" -disallow_untyped_defs = "True" -disallow_subclassing_any = "True" -no_implicit_optional = "True" -strict_equality = "True" -disallow_untyped_decorators = "True" -warn_redundant_casts = "True" -warn_unused_configs = "True" - diff --git a/blog/tp/test.py b/blog/tp/test.py deleted file mode 100644 index cde7097..0000000 --- a/blog/tp/test.py +++ /dev/null @@ -1,203 +0,0 @@ -from typing import Optional - -import pytest -import torch -import torch.nn as nn - -import act_mem -import layers - -BATCH_SIZES = (1, 2) -D_MODELS = (128, 256) -SEQ_LENS = (64, 128) -N_HEADS = (2, 4) - - -DEVICES = ["cpu"] -if torch.cuda.is_available(): - DEVICES.append("cuda") - - -ZERO_MEM_ACT_FNS = [ - nn.ReLU(), - nn.Sigmoid(), - nn.Tanh(), - nn.LeakyReLU(inplace=True), - nn.Sigmoid(), -] -ALL_ACT_FNS = ZERO_MEM_ACT_FNS + [ - nn.ELU(), - nn.GELU(), - nn.Hardshrink(), - nn.Hardsigmoid(), - nn.Hardswish(), - nn.Hardtanh(), - nn.LeakyReLU(), - nn.SELU(), - nn.SiLU(), -] - - -class TestSavedTensorContext: - @pytest.mark.parametrize("device", DEVICES) - @pytest.mark.parametrize("d_model", D_MODELS) - @pytest.mark.parametrize("batch_size", BATCH_SIZES) - def test_linear(self, device: str, d_model: int, batch_size: int) -> None: - """ - Test a simple linear layer. The inputs should be saved for backwards - """ - inputs = torch.randn(batch_size, d_model, requires_grad=True, device=device) - lin = nn.Linear(d_model, d_model, device=device) - with act_mem.SavedTensorContext(ignored_tensors=lin.parameters()) as saved: - _ = lin(inputs) - assert saved.saved_tensor_mem == inputs.numel() * inputs.element_size() - - @pytest.mark.parametrize("device", DEVICES) - @pytest.mark.parametrize("d_model", D_MODELS) - @pytest.mark.parametrize("batch_size", BATCH_SIZES) - def test_linear_amp(self, device: str, d_model: int, batch_size: int) -> None: - """ - Test a linear layer with AMP. The saved tensors should now be a low-precision version of the - inputs and the low-precision version of the weights version of the weights - """ - inputs = torch.randn(batch_size, d_model, requires_grad=True, device=device) - lin = nn.Linear(d_model, d_model, device=device) - dtype = torch.bfloat16 - with torch.autocast(device_type=device, dtype=dtype): - with act_mem.SavedTensorContext(ignored_tensors=lin.parameters()) as saved: - out = lin(inputs) - assert ( - saved.saved_tensor_mem - == out.numel() * out.element_size() + lin.weight.numel() * dtype.itemsize - ) - - @pytest.mark.parametrize("act_fn", ALL_ACT_FNS) - @pytest.mark.parametrize("dropout_prob", (None, 0.5)) - @pytest.mark.parametrize("device", DEVICES) - @pytest.mark.parametrize("d_model", D_MODELS) - @pytest.mark.parametrize("batch_size", BATCH_SIZES) - @pytest.mark.parametrize("seq_len", SEQ_LENS) - def test_mlp( - self, - act_fn: nn.Module, - dropout_prob: Optional[float], - device: str, - d_model: int, - batch_size: int, - seq_len: int, - ) -> None: - """ - For the transformer MLP layer with a ReLU non-linearity, the initial inputs and the inputs - to the final linear layer (which are four times as large) must always be saved. If the - derivative of the activation function cannot be expressed in terms of the activation - function's *outputs*, then the activation inputs must also be saved (which are again four - times as large as the MLP's inputs). The MLP activation memory can be nearly halved by a - choice of activation function. - """ - inputs = torch.randn( - batch_size, seq_len, d_model, requires_grad=True, device=device - ) - expansion_factor = 4 - mlp = layers.MLP( - d_model=d_model, act_fn=act_fn, dropout_prob=dropout_prob, device=device - ) - with act_mem.SavedTensorContext(ignored_tensors=mlp.parameters()) as saved: - _ = mlp(inputs) - - # Compare measured memory against expected - first_lin_input_mem = act_mem.get_tensor_bytes(inputs) - second_lin_input_mem = expansion_factor * first_lin_input_mem - # Only some activations require additional activation memory - activation_input_mem = 0 if act_fn in ZERO_MEM_ACT_FNS else second_lin_input_mem - dropout_act_mem = ( - 0 if not dropout_prob else inputs.numel() * (4 if device == "cpu" else 1) - ) - - expected_mem = ( - first_lin_input_mem - + second_lin_input_mem - + activation_input_mem - + dropout_act_mem - ) - assert saved.saved_tensor_mem == expected_mem - - @pytest.mark.parametrize("act_fn", ALL_ACT_FNS) - @pytest.mark.parametrize("dropout_prob", (None, 0.5)) - @pytest.mark.parametrize("device", DEVICES) - @pytest.mark.parametrize("d_model", D_MODELS) - @pytest.mark.parametrize("batch_size", BATCH_SIZES) - @pytest.mark.parametrize("seq_len", SEQ_LENS) - def test_mlp_amp( - self, - act_fn: nn.Module, - dropout_prob: Optional[float], - device: str, - d_model: int, - batch_size: int, - seq_len: int, - ) -> None: - """ - Similar story with AMP. The only changes come from the modified dtypes and needing to also - save references to the low-precision weights in the Linear layers. - """ - inputs = torch.randn( - batch_size, seq_len, d_model, requires_grad=True, device=device - ) - expansion_factor = 4 - mlp = layers.MLP( - d_model=d_model, act_fn=act_fn, dropout_prob=dropout_prob, device=device - ) - dtype = torch.bfloat16 - with torch.autocast(device_type=device, dtype=dtype): - with act_mem.SavedTensorContext(ignored_tensors=mlp.parameters()) as saved: - _ = mlp(inputs) - - # Compare measured memory against expected - amp_weight_mem = 2 * expansion_factor * d_model**2 * dtype.itemsize - first_lin_input_mem = inputs.numel() * dtype.itemsize - second_lin_input_mem = expansion_factor * inputs.numel() * dtype.itemsize - # Only some activations require additional activation memory - activation_input_mem = 0 if act_fn in ZERO_MEM_ACT_FNS else second_lin_input_mem - dropout_act_mem = ( - 0 - if not dropout_prob - else inputs.numel() * (dtype.itemsize if device == "cpu" else 1) - ) - - expected_mem = ( - amp_weight_mem - + first_lin_input_mem - + second_lin_input_mem - + activation_input_mem - + dropout_act_mem - ) - assert ( - saved.saved_tensor_mem == expected_mem - ), f"Failed on {act_fn=}, {dropout_prob=}" - - -@pytest.mark.skipif(not torch.cuda.is_available(), reason="cuda not available") -class TestCUDAMemReadings: - @pytest.mark.parametrize("d_model", D_MODELS) - @pytest.mark.parametrize("batch_size", BATCH_SIZES) - @pytest.mark.parametrize("seq_len", SEQ_LENS) - @pytest.mark.parametrize("act_fn", ALL_ACT_FNS) - def test_mlp( - self, d_model: int, batch_size: int, seq_len: int, act_fn: nn.Module - ) -> None: - """ - Track saved tensors and allocated memory and verify they agree. - """ - - inputs = torch.randn(batch_size, seq_len, d_model, device="cuda") - mlp = layers.MLP(d_model=d_model, act_fn=act_fn, device="cuda") - - with act_mem.AllocatedMemContext() as mem, act_mem.SavedTensorContext( - ignored_tensors=mlp.parameters() - ) as saved: - outputs = mlp(inputs) - - # AllocatedMemContext captures the outputs, but not inputs, while SavedTensorContext - # captures inputs and not outputs. Nevertheless, the readings agree because inputs and - # outputs are tensors of the same size and `dtype`. - assert mem.delta["current"] == saved.saved_tensor_mem From 732e8f555fda8e90073d392a00d5281cd15e3576 Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Tue, 2 Jul 2024 12:29:17 -0400 Subject: [PATCH 10/12] worst-time reporting --- blog/tp/tp_profiling.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/blog/tp/tp_profiling.py b/blog/tp/tp_profiling.py index 14854a4..6f8ec73 100644 --- a/blog/tp/tp_profiling.py +++ b/blog/tp/tp_profiling.py @@ -55,7 +55,13 @@ def profile_and_report( # Mean and std TFLOP computations mlp_flops = 16 * batch_size * seq_len * d_model**2 - time_s_t = torch.tensor(timer.time_s_list) + + time_s_t = torch.tensor(timer.time_s_list, device=device) + # Use the worst-reported times across GPUs as the true timing metrics, if applicable. + if tp_degree > 1: + time_s_t = time_s_t.to(device) + dist.all_reduce(time_s_t, group=pg_dict[tp_degree], op=dist.ReduceOp.MAX) + time_s_t = time_s_t.cpu() tflop_s_gpu_t = mlp_flops / time_s_t / 1e12 / tp_degree metrics = { "d_model": d_model, From ef7199d26b4e613eff246cf522e17af672fd3c85 Mon Sep 17 00:00:00 2001 From: Garrett Goon Date: Tue, 2 Jul 2024 13:02:18 -0400 Subject: [PATCH 11/12] update plots --- blog/tp/mlp_tp.png | Bin 203135 -> 203400 bytes blog/tp/plots.ipynb | 85 ++++++++++++++++++++++---------------------- 2 files changed, 43 insertions(+), 42 deletions(-) diff --git a/blog/tp/mlp_tp.png b/blog/tp/mlp_tp.png index 39b61a7ace63085bc07be0572c5edcd3f0350e40..1aff737bb80cbd3c3ebf403e8f6b979efcf5168e 100644 GIT binary patch literal 203400 zcmeFZWmwf|`!>qx*r20Wl<1hCh|(co64FxAqS7fWKo{j0U{WF-BCu#sx=~S4P!JX& zEegUSm6U$Z+vj=ydw<#c>ptFhKXV*&%s9hZ{Nlc^>#Xa(tEM8yvX*@<6B84Qg8b=o zOiU{ynV41yuU?7&5?1I!!#~6+XUqB@EtYx(km zf`T^Vcm4Y>-JXE9{r~v`)Ajj>FV_6epMw7q`=1|tv1!@=^<(Exe);o%eoApQ9?`%5 zy0GRS*8luF)1h4s%l`9+>wEuH`Om*IJ-hY4^)E3h^uT@X^tylN&Zn0*S2+(f@SHhw 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3072\n", - " 0.002946\n", - " 209.973938\n", - " 3.281300\n", + " 0.002941\n", + " 210.291397\n", + " 2.333767\n", " \n", " \n", " ...\n", @@ -339,41 +340,41 @@ " 151\n", " 8\n", " 18432\n", - " 0.012904\n", - " 215.706558\n", - " 2.184307\n", + " 0.012830\n", + " 216.637466\n", + " 2.120074\n", " \n", " \n", " 152\n", " 8\n", " 18944\n", - " 0.013567\n", - " 216.735992\n", - " 2.677620\n", + " 0.013551\n", + " 216.700256\n", + " 3.428361\n", " \n", " \n", " 153\n", " 8\n", " 19456\n", - " 0.014601\n", - " 212.439178\n", - " 3.417566\n", + " 0.014483\n", + " 213.789810\n", + " 2.577091\n", " \n", " \n", " 154\n", " 8\n", " 19968\n", - " 0.015163\n", - " 215.455200\n", - " 3.120895\n", + " 0.015056\n", + " 216.667892\n", + " 3.947501\n", " \n", " \n", " 155\n", " 8\n", " 20480\n", - " 0.015707\n", - " 218.786560\n", - " 2.498470\n", + " 0.015662\n", + " 219.187225\n", + " 4.835044\n", " \n", " \n", "\n", @@ -382,17 +383,17 @@ ], "text/plain": [ " tp_degree d_model time_s TFLOP/sec/GPU TFLOP/sec/GPU_std\n", - "0 1 1024 0.000491 139.870193 1.172034\n", - "1 1 1536 0.000964 160.353287 0.146257\n", - "2 1 2048 0.001676 164.016388 0.180934\n", - "3 1 2560 0.002064 208.131500 4.024769\n", - "4 1 3072 0.002946 209.973938 3.281300\n", + "0 1 1024 0.000492 139.760605 1.070486\n", + "1 1 1536 0.000965 160.297211 0.191192\n", + "2 1 2048 0.001459 188.433899 3.754535\n", + "3 1 2560 0.002080 206.486206 2.993310\n", + "4 1 3072 0.002941 210.291397 2.333767\n", ".. ... ... ... ... ...\n", - "151 8 18432 0.012904 215.706558 2.184307\n", - "152 8 18944 0.013567 216.735992 2.677620\n", - "153 8 19456 0.014601 212.439178 3.417566\n", - "154 8 19968 0.015163 215.455200 3.120895\n", - "155 8 20480 0.015707 218.786560 2.498470\n", + "151 8 18432 0.012830 216.637466 2.120074\n", + "152 8 18944 0.013551 216.700256 3.428361\n", + "153 8 19456 0.014483 213.789810 2.577091\n", + "154 8 19968 0.015056 216.667892 3.947501\n", + "155 8 20480 0.015662 219.187225 4.835044\n", "\n", "[156 rows x 5 columns]" ] @@ -423,7 +424,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] From 6e0baeb8e4b794bff083fdba855dc0783a8ce74d Mon Sep 17 00:00:00 2001 From: KevinMusgrave Date: Mon, 8 Jul 2024 14:24:56 -0400 Subject: [PATCH 12/12] update readme --- README.md | 1 + blog/act-mem-2/README.md | 5 +++++ blog/tp/README.md | 5 +++++ 3 files changed, 11 insertions(+) diff --git a/README.md b/README.md index 193fd94..7caa10a 100644 --- a/README.md +++ b/README.md @@ -16,6 +16,7 @@ This repository contains a variety of Determined examples that are not actively | [LLM Finetuning 2](blog/llm-finetuning-2) | Finetuning Mistral-7B on Text-to-SQL using LoRA and DeepSpeed. | | [LLM Finetuning 3](blog/llm-finetuning-3) | Finetuning Gemma-2B using DPO. | | [Python SDK demo](blog/python_sdk_demo) | Example usage of the Determined Python SDK to run and administer experiments. | +| [Tensor Parallelism](blog/tp) | Profiling tensor parallelism in PyTorch. | ## Computer Vision diff --git a/blog/act-mem-2/README.md b/blog/act-mem-2/README.md index 07f1547..9531f4c 100644 --- a/blog/act-mem-2/README.md +++ b/blog/act-mem-2/README.md @@ -9,3 +9,8 @@ memory. - `attn_script.py` shows the cost of activation memory in the attention layer. - Tests of the code are in `test.py`. - See `requirements.txt` for versions the code was built against. + + +## Contributors + +- [Garrett Goon](https://github.com/garrett361) \ No newline at end of file diff --git a/blog/tp/README.md b/blog/tp/README.md index 6ed42c1..79ea909 100644 --- a/blog/tp/README.md +++ b/blog/tp/README.md @@ -6,3 +6,8 @@ Code accompanying the deep-dive [blog post on Tensor Parallelism](https://determ - Matmul profiling code in `matmul_profiling.py` - MLP TP profiling code in `tp_profiling.py` - Tests of the rearranging tensor sums are in `test_dot_product_{local,distributed}.py` + + +## Contributors + +- [Garrett Goon](https://github.com/garrett361) \ No newline at end of file

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