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Replace info prints with debug for neutron backend runtime #18366

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Replace info prints with debug for neutron backend runtime #18366

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8 changes: 4 additions & 4 deletions backends/nxp/runtime/NeutronBackend.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -433,12 +433,12 @@ class NeutronBackend final : public PyTorchBackendInterface {

if (is_channels_last_dim_order(dim_order, arg.dim())) {
// The tensor is already permuted.
ET_LOG(Info, "Using channels last dim order for input %d.\n", i);
ET_LOG(Debug, "Using channels last dim order for input %d.\n", i);
cfg->dcfg.inputs[i] = arg.const_data_ptr();
} else if (is_contiguous_dim_order(dim_order, arg.dim())) {
// Transpose the data to channels last.

ET_LOG(Info, "Transposing input %d to channels last.\n", i);
ET_LOG(Debug, "Transposing input %d to channels last.\n", i);

// Allocate buffer, the allocator is reset after each PTE instruction.
void* buffer = context.allocate(arg.nbytes(), 16);
Expand Down Expand Up @@ -542,10 +542,10 @@ class NeutronBackend final : public PyTorchBackendInterface {
if (is_channels_last_dim_order(dim_order, arg.dim())) {
// The rest of the model expects the `channels_last` dim order, which
// the data already matches.
ET_LOG(Info, "Using channels last dim order for output %d.\n", i);
ET_LOG(Debug, "Using channels last dim order for output %d.\n", i);
} else if (is_contiguous_dim_order(dim_order, arg.dim())) {
// Transpose the data to channels first.
ET_LOG(Info, "Transposing output %d to channels first.\n", i);
ET_LOG(Debug, "Transposing output %d to channels first.\n", i);
transposeOutput(
cfg->dcfg.outputs[i],
arg.mutable_data_ptr(),
Expand Down
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