Created
October 17, 2025 15:59
-
-
Save rec/006d3738ddf8c001cc2e72b0f81792f0 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "before": { | |
| "name": "11e97bc7bd4~4801", | |
| "commit_id": "6c2c527cd67", | |
| "message": "[BE] Remove extra semicolons from SymmetricMemory.hpp (#154034)" | |
| }, | |
| "after": { | |
| "name": "11e97bc7bd4~4800", | |
| "commit_id": "b7d08defe9c", | |
| "message": "[BE]: Type previously untyped decorators (#153726)" | |
| }, | |
| "timestamp": "2025-10-09T02:13:47.065888", | |
| "filename": "full-run/pyright_compare.083034.6c2c527cd67-b7d08defe9c.json", | |
| "diff": { | |
| "absolute": { | |
| "exportedSymbolCounts": { | |
| "withKnownType": 37, | |
| "withUnknownType": -37 | |
| }, | |
| "otherSymbolCounts": { | |
| "withKnownType": 4, | |
| "withUnknownType": -4 | |
| }, | |
| "completenessScore": 0.0022947159513768134 | |
| }, | |
| "percent": { | |
| "exportedSymbolCounts": { | |
| "withKnownType": 0.6235254465790361, | |
| "withUnknownType": -0.39496157130657555 | |
| }, | |
| "otherSymbolCounts": { | |
| "withKnownType": 0.20833333333333334, | |
| "withUnknownType": -0.23557126030624265 | |
| }, | |
| "completenessScore": 0.6235254465790316 | |
| }, | |
| "symbols": { | |
| "common": { | |
| "torch.ao.nn.quantizable.modules.activation.MultiheadAttention.dequantize": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.quantized.dynamic.modules.rnn.GRU.forward_packed": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Type of parameter \"hx\" is partially unknown\n\u00a0\u00a0Parameter type is \"Tensor | None\"", | |
| "Type of parameter \"input\" is partially unknown\n\u00a0\u00a0Parameter type is \"PackedSequence\"" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.quantized.dynamic.modules.rnn.GRU.forward_tensor": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Type of parameter \"hx\" is partially unknown\n\u00a0\u00a0Parameter type is \"Tensor | None\"", | |
| "Type of parameter \"input\" is partially unknown\n\u00a0\u00a0Parameter type is \"Tensor\"" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.quantized.dynamic.modules.rnn.LSTM.forward_packed": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Type of parameter \"input\" is partially unknown\n\u00a0\u00a0Parameter type is \"PackedSequence\"" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.quantized.dynamic.modules.rnn.LSTM.forward_tensor": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Type of parameter \"input\" is partially unknown\n\u00a0\u00a0Parameter type is \"Tensor\"" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.quantized.modules.conv._ConvNd.__getstate__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.quantized.modules.conv._ConvNd.__setstate__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing", | |
| "Type annotation for parameter \"state\" is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.quantized.modules.embedding_ops.EmbeddingPackedParams.set_weight": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Type of parameter \"weight\" is partially unknown\n\u00a0\u00a0Parameter type is \"Tensor\"" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.quantized.modules.linear.LinearPackedParams.set_weight_bias": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Type of parameter \"bias\" is partially unknown\n\u00a0\u00a0Parameter type is \"Tensor | None\"", | |
| "Type of parameter \"weight\" is partially unknown\n\u00a0\u00a0Parameter type is \"Tensor\"" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.sparse.quantized.linear.LinearPackedParams.__getstate__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.sparse.quantized.linear.LinearPackedParams.__setstate__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing", | |
| "Type annotation for parameter \"state\" is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.nn.sparse.quantized.linear.LinearPackedParams.set_weight_bias": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Type of parameter \"bias\" is partially unknown\n\u00a0\u00a0Parameter type is \"Tensor | None\"", | |
| "Type of parameter \"weight\" is partially unknown\n\u00a0\u00a0Parameter type is \"Tensor\"" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.fake_quantize.FakeQuantize.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.fake_quantize.FakeQuantize.extra_repr": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.fake_quantize.FakeQuantizeBase.disable_fake_quant": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.fake_quantize.FakeQuantizeBase.disable_observer": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.fake_quantize.FixedQParamsFakeQuantize.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.fake_quantize.FixedQParamsFakeQuantize.extra_repr": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.FixedQParamsObserver.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.HistogramObserver.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.MinMaxObserver.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.MinMaxObserver.extra_repr": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.MinMaxObserver.reset_min_max_vals": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.NoopObserver.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.PerChannelMinMaxObserver.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.PerChannelMinMaxObserver.reset_min_max_vals": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.PlaceholderObserver.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.PlaceholderObserver.extra_repr": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.RecordingObserver.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.RecordingObserver.get_tensor_value": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.ReuseInputObserver.calculate_qparams": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.ao.quantization.observer.UniformQuantizationObserverBase.reset_min_max_vals": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.distributed.nn.api.remote_module._RemoteModule.__getstate__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.distributed.nn.api.remote_module._RemoteModule.__setstate__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing", | |
| "Type annotation for parameter \"state\" is missing" | |
| ] | |
| } | |
| }, | |
| "torch.jit.export": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing", | |
| "Type annotation for parameter \"fn\" is missing" | |
| ] | |
| } | |
| }, | |
| "torch.jit.unused": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing", | |
| "Type annotation for parameter \"fn\" is missing" | |
| ] | |
| } | |
| }, | |
| "torch.nn.modules.container.ModuleDict.__getitem__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type is partially unknown\n\u00a0\u00a0Return type is \"Module\"" | |
| ] | |
| } | |
| }, | |
| "torch.nn.modules.container.ModuleList.__dir__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.nn.modules.container.ModuleList.__repr__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.nn.modules.container.ParameterList.__dir__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| }, | |
| "torch.nn.modules.container.Sequential.__dir__": { | |
| "isTypeKnown": true, | |
| "diagnostics": { | |
| "removed": [ | |
| "Return type annotation is missing" | |
| ] | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment