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Migrating from functorch to torch.func

PyTorch documentation

torch.func, previously known as “functorch”, is JAX-like composable function transforms for PyTorch. functorch started as an out-of-tree library over at the pytorch/functorch repository. Our goal has ...

UX Limitations

PyTorch documentation

torch.func, like JAX , has restrictions around what can be transformed. In general, JAX’s limitations are that transforms only work with pure functions: that is, functions where the output is complete...

Patching Batch Norm

PyTorch documentation

What’s happening? Batch Norm requires in-place updates to running_mean and running_var of the same size as the input. Functorch does not support inplace update to a regular tensor that takes in a batc...

torch.func.replace_all_batch_norm_modules_

PyTorch documentation

In place updates root by setting the running_mean and running_var to be None and setting track_running_stats to be False for any nn.BatchNorm module in root Module

torch.func.stack_module_state

PyTorch documentation

Prepares a list of torch.nn.Modules for ensembling with vmap() . Given a list of M nn.Modules of the same class, returns two dictionaries that stack all of their parameters and buffers together, index...

POE0004:operator-supported-in-newer-opset-version

PyTorch documentation

Operator is supported in newer opset version. Example:

torch.func.functional_call

PyTorch documentation

Performs a functional call on the module by replacing the module parameters and buffers with the provided ones. Note If the module has active parametrizations, passing a value in the parameters_and_bu...

POE0003:missing-standard-symbolic-function

PyTorch documentation

Missing symbolic function for standard PyTorch operator, cannot translate node to ONNX.

torch.func.functionalize

PyTorch documentation

functionalize is a transform that can be used to remove (intermediate) mutations and aliasing from a function, while preserving the function’s semantics. functionalize(func) returns a new function wit...

POE0002:missing-custom-symbolic-function

PyTorch documentation

Missing symbolic function for custom PyTorch operator, cannot translate node to ONNX.

torch.signal.windows.nuttall

PyTorch documentation

Computes the minimum 4-term Blackman-Harris window according to Nuttall. where z_n = 2 π n/ M . The window is normalized to 1 (maximum value is 1). However, the 1 doesn’t appear if M is even and sym i...

torch.func.hessian

PyTorch documentation

Computes the Hessian of func with respect to the arg(s) at index argnum via a forward-over-reverse strategy. The forward-over-reverse strategy (composing jacfwd(jacrev(func)) ) is a good default for g...

POE0001:node-missing-onnx-shape-inference

PyTorch documentation

Node is missing ONNX shape inference. This usually happens when the node is not valid under standard ONNX operator spec.

torch.signal.windows.kaiser

PyTorch documentation

Computes the Kaiser window. The Kaiser window is defined as follows: where I_0 is the zeroth order modified Bessel function of the first kind (see torch.special.i0() ), and N = M - 1 if sym else M . T...

torch.func.jacfwd

PyTorch documentation

Computes the Jacobian of func with respect to the arg(s) at index argnum using forward-mode autodiff func ( function ) – A Python function that takes one or more arguments, one of which must be a Tens...

FXE0009:fx-frontend-dynamo-make-fx

PyTorch documentation

ToDo, experimenting diagnostics, placeholder text.

torch.signal.windows.hann

PyTorch documentation

Computes the Hann window. The Hann window is defined as follows: The window is normalized to 1 (maximum value is 1). However, the 1 doesn’t appear if M is even and sym is True . M ( int ) – the length...

torch.func.jacrev

PyTorch documentation

Computes the Jacobian of func with respect to the arg(s) at index argnum using reverse mode autodiff Note Using chunk_size=1 is equivalent to computing the jacobian row-by-row with a for-loop i.e. the...

FXE0008:fx-node-to-onnx

PyTorch documentation

ToDo, experimenting diagnostics, placeholder text.

torch.signal.windows.hamming

PyTorch documentation

Computes the Hamming window. The Hamming window is defined as follows: The window is normalized to 1 (maximum value is 1). However, the 1 doesn’t appear if M is even and sym is True . M ( int ) – the ...

torch.func.linearize

PyTorch documentation

Returns the value of func at primals and linear approximation at primals . func ( Callable ) – A Python function that takes one or more arguments. primals ( Tensors ) – Positional arguments to func th...

FXE0007:atenlib-fx-to-onnx

PyTorch documentation

ToDo, experimenting diagnostics, placeholder text.

torch.signal.windows.general_hamming

PyTorch documentation

Computes the general Hamming window. The general Hamming window is defined as follows: The window is normalized to 1 (maximum value is 1). However, the 1 doesn’t appear if M is even and sym is True . ...

torch.func.jvp

PyTorch documentation

Standing for the Jacobian-vector product, returns a tuple containing the output of func(*primals) and the “Jacobian of func evaluated at primals ” times tangents . This is also known as forward-mode a...