IN FACT MUSEUM 中文

EXHIBIT 10 / COMPUTE PATH

What is an operator—and why can one missing implementation stop a model?

A model is expressed as operations such as matrix multiplication, normalization, and attention. A framework must route each operation to an implementation for the selected backend and inputs before hardware can execute it.

SHORT ANSWERThe operation names the work. A kernel performs it on a backend.
5–8 MIN · MANUAL CONTROLS · NO ACCOUNT

ROOM 01 / DEFINE

“The operator exists” can mean four different things.

  1. 01 / SEMANTICS Operation

    The framework-level contract describes inputs, outputs, attributes, and the mathematical transformation requested by the model.

  2. 02 / ROUTING Dispatch

    The framework selects an implementation using facts such as backend, tensor type, layout, and execution mode.

  3. 03 / EXECUTION Kernel

    Device-specific code performs the operation. Different backends and input cases may use different kernels for the same operation.

  4. 04 / MEASUREMENT Performance

    Running successfully proves availability for one case. It does not prove speed, numerical agreement, or coverage of other shapes and data types.

ROOM 02 / INSPECT

Follow one request from a model graph to device code.

The path is a teaching abstraction. It reflects documented dispatch and registration responsibilities without reproducing a proprietary runtime trace.

MANUAL EVIDENCE PATHNOT A CAPTURED SYSTEM TRACE

GRAPH

The model requests an operation

A layer calls a matrix multiplication with two tensors, a data type, dimensions, and layout.

WHAT THIS LETS YOU SAY

The request is more specific than the word “matmul.” Inputs determine which implementation can serve it.

Step 1 / 4

Keyboard: focus this instrument and use ← or →. It never advances by itself.

ROOM 03 / TEST

Diagnose one hypothetical backend path.

Change the implementation facts. The browser stops at the earliest unsupported layer and never runs a model or accelerator.

LIVE BROWSER CLASSIFIERNO MODEL, HARDWARE, ACCOUNT, OR REMOTE SERVICE

SCENARIORequest: attention operator on Backend B with the selected input case.

01Backend implementation

No backend kernel is registered for this operation.

02Selected dtype and shape

The selected input case is inside the declared support range.

03End-to-end measurement

No timing or numerical comparison is attached.

FIRST FAILURE / DISPATCH

Unsupported: there is no backend implementation.

The operation may exist in the framework, but this backend cannot execute it through the selected path.

SELECTED FACTS
  • No backend kernel is registered for this operation.
  • The selected input case is inside the declared support range.
  • No timing or numerical comparison is attached.

No actual operator is loaded. The lab demonstrates claim boundaries, not hardware compatibility.

ROOM 04 / VERIFY

Separate a documented interface from a measured result.

OFFICIAL DOCUMENTATION

Backends register implementations

PyTorch documents Dispatch Keys, operator registration, and support-status queries as fundamental accelerator integration work.

EDITORIAL TRACE

Four-stage compute path

The graph-to-schema-to-dispatch-to-profile sequence is the museum’s compact explanation, not a captured PyTorch execution.

NOT CLAIMED

Universal naming or performance

The page does not equate every use of “operator” with “kernel,” or benchmark any named backend.

REVIEWED SOURCES

Open the record before repeating the claim.

Operator Registration — PyTorch accelerator documentation PyTorch · key-sections · checked 2026-09-11 Operator set, Dispatch Keys, registration approaches, support-status queries, and troubleshooting sections; every registration API and backend implementation was not reviewed.
NEXT / THE ASCEND SOFTWARE STACKPlace operators inside CANN’s larger system →
← Return to all twelve exhibits Open the corresponding Chinese exhibit →