octo-models / octo

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.
https://octo-models.github.io/
MIT License
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Error in data augmentation #114

Open HM102 opened 4 weeks ago

HM102 commented 4 weeks ago

I am getting the following error due to data augmentation code

WARNING: All log messages before absl::InitializeLog() is called are written to STDERR W0000 00:00:1719830239.815836 2053484 op_level_cost_estimator.cc:699] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 256 } dim { size: 256 } dim { size: -15 } } } inputs { dtype: DT_FLOAT shape { dim { size: -2 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -2 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } } device { type: "CPU" vendor: "GenuineIntel" model: "111" frequency: 3192 num_cores: 24 environment { key: "cpu_instruction_set" value: "AVX SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 49152 l2_cache_size: 2097152 l3_cache_size: 31457280 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -2 } dim { size: -22 } dim { size: -23 } dim { size: -15 } } } W0000 00:00:1719830239.816226 2053484 op_level_cost_estimator.cc:699] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 256 } dim { size: 256 } dim { size: -14 } } } inputs { dtype: DT_FLOAT shape { dim { size: -4 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -4 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } } device { type: "CPU" vendor: "GenuineIntel" model: "111" frequency: 3192 num_cores: 24 environment { key: "cpu_instruction_set" value: "AVX SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 49152 l2_cache_size: 2097152 l3_cache_size: 31457280 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -4 } dim { size: -27 } dim { size: -28 } dim { size: -14 } } } W0000 00:00:1719830239.816278 2053484 op_level_cost_estimator.cc:699] Error in PredictCost() for the op: op: "CropAndResize" attr { key: "T" value { type: DT_FLOAT } } attr { key: "extrapolation_value" value { f: 0 } } attr { key: "method" value { s: "bilinear" } } inputs { dtype: DT_FLOAT shape { dim { size: 1 } dim { size: 256 } dim { size: 256 } dim { size: -14 } } } inputs { dtype: DT_FLOAT shape { dim { size: -5 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -5 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } } device { type: "CPU" vendor: "GenuineIntel" model: "111" frequency: 3192 num_cores: 24 environment { key: "cpu_instruction_set" value: "AVX SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2" } environment { key: "eigen" value: "3.4.90" } l1_cache_size: 49152 l2_cache_size: 2097152 l3_cache_size: 31457280 memory_size: 268435456 } outputs { dtype: DT_FLOAT shape { dim { size: -5 } dim { size: -29 } dim { size: -30 } dim { size: -14 } } } I0701 12:38:52.313719 139880519984960 tokenizers.py:109] No image inputs matching ('image_wrist',) were found.Skipping tokenizer entirely.

erikbr01 commented 2 weeks ago

I am getting the same error and it works fine, I think it's safe to ignore