comaniac commented on code in PR #11142:
URL: https://github.com/apache/tvm/pull/11142#discussion_r862270681
##########
src/relay/transforms/to_mixed_precision.cc:
##########
@@ -36,6 +36,7 @@
namespace tvm {
namespace relay {
+TVM_REGISTER_PASS_CONFIG_OPTION("relay.ToMixedPrecision.enable_original_type",
Bool);
Review Comment:
This name is a bit confusing. Maybe something like "keep_orig_output_dtype".
##########
src/relay/transforms/to_mixed_precision.cc:
##########
@@ -381,6 +400,11 @@ class MixedPrecisionPass : public MixedModeMutator {
if (accumulation_dtype != output_dtype) {
output = CastArg(output, GetType(output), output_dtype);
}
+ if (pre_call_node == static_cast<const CallNode*>(root_) &&
enable_original_type_) {
Review Comment:
Could we just use `.same_as`?
##########
tests/python/relay/test_to_mixed_precision.py:
##########
@@ -41,17 +41,31 @@ def verify_mixed_precision_output_close(
mixed_precision_dtype="float16",
rtol: float = 1e-3,
atol: float = 0,
+ enable_original_type=False,
) -> tvm.runtime.Module:
mod = InferType()(mod)
result_fp32 = run_module(mod, mod_params)
- fp16_mod = ToMixedPrecision(mixed_precision_dtype)(mod)
- result_fp16 = run_module(fp16_mod, mod_params)
+
+ if enable_original_type == False:
Review Comment:
```suggestion
if not enable_original_type:
```
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