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I am getting the below error while upgrade the tensorflow version to 2.8, it was running totally perfect in tensorflow 2.5.
With the below warning, it actually impact the trained model accuracy, is anyone also facing the same issue?
2024-08-29 08:57:00.918852: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] 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: -559 } dim { size: 512 } dim { size: 512 } dim { size: 1 } } } inputs { dtype: DT_FLOAT shape { dim { size: -25 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -25 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 28 } } device { type: "GPU" vendor: "NVIDIA" model: "Tesla T4" frequency: 1590 num_cores: 40 environment { key: "architecture" value: "7.5" } environment { key: "cuda" value: "11020" } environment { key: "cudnn" value: "8100" } num_registers: 65536 l1_cache_size: 24576 l2_cache_size: 4194304 shared_memory_size_per_multiprocessor: 65536 memory_size: 14276100096 bandwidth: 320064000 } outputs { dtype: DT_FLOAT shape { dim { size: -25 } dim { size: 28 } dim { size: 28 } dim { size: 1 } } }
The text was updated successfully, but these errors were encountered:
I am getting the below error while upgrade the tensorflow version to 2.8, it was running totally perfect in tensorflow 2.5.
With the below warning, it actually impact the trained model accuracy, is anyone also facing the same issue?
2024-08-29 08:57:00.918852: W tensorflow/core/grappler/costs/op_level_cost_estimator.cc:690] 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: -559 } dim { size: 512 } dim { size: 512 } dim { size: 1 } } } inputs { dtype: DT_FLOAT shape { dim { size: -25 } dim { size: 4 } } } inputs { dtype: DT_INT32 shape { dim { size: -25 } } } inputs { dtype: DT_INT32 shape { dim { size: 2 } } value { dtype: DT_INT32 tensor_shape { dim { size: 2 } } int_val: 28 } } device { type: "GPU" vendor: "NVIDIA" model: "Tesla T4" frequency: 1590 num_cores: 40 environment { key: "architecture" value: "7.5" } environment { key: "cuda" value: "11020" } environment { key: "cudnn" value: "8100" } num_registers: 65536 l1_cache_size: 24576 l2_cache_size: 4194304 shared_memory_size_per_multiprocessor: 65536 memory_size: 14276100096 bandwidth: 320064000 } outputs { dtype: DT_FLOAT shape { dim { size: -25 } dim { size: 28 } dim { size: 28 } dim { size: 1 } } }
The text was updated successfully, but these errors were encountered: