torch.trace. torch.trace(input) → Tensor. Returns the sum of the elements of the diagonal of the input 2-D matrix. Example: >>> x = torch.arange(1., 10.) ... |
Using torch.jit.trace and torch.jit.trace_module , you can turn an existing module or Python function into a TorchScript ScriptFunction or ScriptModule . You ... |
Trace a module and return an executable ScriptModule that will be optimized using just-in-time compilation. |
Tracing runs an example input tensor through your model, and captures the operations that are invoked as that input makes its way through the model's layers. |
11 янв. 2021 г. · I was wondering if it's at all possible to take the trace of matrix for a batch of matrices? For example, let's say I have some Tensor of shape ... |
# We use a special API to reset the trace and compile it from scratch. compiled_fn = model. if force_trace: compiled_fn.clear_cache(). |
Automatic Trace Checking. One way to automatically catch many errors in traces is by using check_inputs on the torch.jit.trace() API. check_inputs takes a ... Torch.jit.trace · Torch.jit.script · Torch.jit.load · Torch.jit.save |
10 июл. 2020 г. · Is is possible to trace the GPT/Bert models on CPU and use that saved traced model on GPU? I see a constant called “device” in the traced graph which seems ... |
4 авг. 2021 г. · As per this issue in einops, it appears that torch.jit.trace is converting integer division to tensor division. To Reproduce. |
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