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Isuru0x01

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[ "@ViratCh04, \r\nLooks like this is an issue from the Keras side. Also there is an [issue](https://github.com/keras-team/keras/issues/19754) raised in the Keras-team/Keras repo for the similar error on the RNN_decoder/gru and assigned to the Developer. Kindly take a look and try to follow the same for the quick response. Thank you!", "Oh alright @tilakrayal. Thanks for your response. I will try to contribute towards this issue there then!", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68690\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68690\">No</a>\n" ]

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[ "hi @Kullka ,\r\n\r\nCan you please share the code to reproduce the issue ? ", "Hi @sawantkumar,\r\n\r\nThank you for responding me. I have converted LSTM model from TensorFlow to TensorFlow Lite by following code:\r\n\r\n\r\nAfter converting, I used netron app to visualize the model and use the parameters on tflite model to implement inference LSTM on FPGA. \r\n\r\n\r\nThe Input and Weight are quantized as int8, so I found in https://github.com/tensorflow/tensorflow/blob/e33a5ea470d1ef02107b595737d23670f7a1eda4/tensorflow/lite/kernels/unidirectional_sequence_lstm.cc#L1482-L1497 the method lstm_eval::EvalInteger8x8_16 match with the model's parameters. In this method, I found the code here with many parameters and not sure how to get these parameters. https://github.com/tensorflow/tensorflow/blob/e33a5ea470d1ef02107b595737d23670f7a1eda4/tensorflow/lite/kernels/lstm_eval.cc#L2438\r\n\r\nI saw the way to find the parameter input_to_gate_effective_bias in method _prepare_ in file unidirectional_sequence_lstm.cc but the parameter gate_layer_norm_coefficients can't found anywhere. \r\n\r\nFinally, assume I have all parameters, should I follow method https://github.com/tensorflow/tensorflow/blob/e33a5ea470d1ef02107b595737d23670f7a1eda4/tensorflow/lite/kernels/lstm_eval.cc#L1420 and then https://github.com/tensorflow/tensorflow/blob/e33a5ea470d1ef02107b595737d23670f7a1eda4/tensorflow/lite/kernels/lstm_eval.cc#L554 to understand the way to implement LSTM? Correct me if I wrong!\r\n\r\nThank you.\r\n", "Hi @Kullka, we're wondering if you may be able to resolve your issue by using [AI-Edge-Torch](https://github.com/google-ai-edge/ai-edge-torch), you can find more information here: [googleblog](https://developers.googleblog.com/en/ai-edge-torch-high-performance-inference-of-pytorch-models-on-mobile-devices/).\r\n\r\nI have actually created a simple script for converting an LSTM model here:\r\n\r\n```py\r\nimport torch\r\nimport torchvision\r\nimport ai_edge_torch\r\n\r\nrnn = torch.nn.LSTM(10, 20, 2)\r\nsample_inputs = (torch.randn(5, 3, 10),)\r\n\r\nedge_model = ai_edge_torch.convert(rnn.eval(), sample_inputs)\r\nedge_model.export(\"rnn.tflite\")\r\n```\r\n\r\nIf you want to, you can actually try visualizing the result in [model-explorer](https://github.com/google-ai-edge/model-explorer) as well.\r\n\r\nPlease try them out and let us know if this resolves your issue. If you still need further help, feel free to open a new issue at the respective repos." ]

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[ "Reassigned to Quentin, the poc of https://github.com/tensorflow/tensorflow/issues/62298.", "That would be great, but those files are needed for the CMake build that doesn't generate them. It's possible but that will require updating the `CMakeLists.txt` to generate those files.\r\n\r\nI think the flabuffer library provides a CMake module to do that.", "hm, i made a gn proof of concept of that for chromium and i'd say applying [the string replacement](https://github.com/tensorflow/tensorflow/blob/306833457d32dd27a198ec8f6839b4966f941d4d/tensorflow/lite/acceleration/configuration/BUILD#L49) sounds like the most interesting problem here", "This should be doable with something in the lines of:\r\n\r\n```cmake\r\nADD_CUSTOM_COMMAND(\r\n OUTPUT \"${PROJECT_BINARY_DIR}/configuration.fbs\"\r\n COMMAND flatc --proto -o ${PROJECT_BINARY_DIR} tensorflow/lite/acceleration/configuration/configuration.proto\r\n COMMAND perl -p -i -e 's/tflite.proto/tflite/' \"${PROJECT_BINARY_DIR}/configuration.fbs\"\r\n DEPENDS tensorflow/lite/acceleration/configuration/configuration.proto\r\n WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}\r\n)\r\n```", "is perl already a required build dependency for cmake users?", "It doesn't seem so. The replacement seems fairly simple, maybe a combination of the following will do the trick.\r\n- https://discourse.cmake.org/t/what-is-the-best-way-to-search-and-replace-strings-in-a-file/1879\r\n- https://cmake.cmake.narkive.com/jCO5xK76/string-replacement-without-external-commands-help-ex-sed", "> I think the flabuffer library provides a CMake module to do that.\r\n\r\nsome places already use flatc and some don't, and those that do, do it in completely different ways including having different variables for finding flatc, what a mess" ]

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[ "Hi **@shiyasali23** ,\r\n- Please send an email to the TF certification team ([email protected]) for further assistance. \r\n\r\nThank you!", "This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.", "This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further.", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68654\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68654\">No</a>\n" ]

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[ "@x0w3n,\r\nLooks like this is the issue [#67098](https://github.com/tensorflow/tensorflow/issues/67098) which is already addressed and assigned to the Developer. Could you please confirm and close this issue, since it is already being tracked there. Thank you!", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68648\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68648\">No</a>\n", "Thank you for your response.", "@x0w3n,\r\nAs mentioned please move this issue to the closed status, https://github.com/tensorflow/tensorflow/issues/68648#issuecomment-2135026372 since it is already being tracked there. Thank you!", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68648\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68648\">No</a>\n", "I noticed that. Thanks for reminding me." ]

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[ "Hi @x0w3n ,\r\n\r\nI could able to reproduce the issue with tf-nightly. Attched screen shot below for reference.\r\n\r\n<img width=\"1506\" alt=\"Screenshot 2024-05-27 at 10 32 48 AM\" src=\"https://github.com/tensorflow/tensorflow/assets/116063290/3e53092b-18b4-4ecc-997d-4e5da17de204\">\r\n", "I got it. Thank you!", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68647\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68647\">No</a>\n", "Are you satisfied with the resolution of your issue?\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68647\">Yes</a>\n<a href=\"https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/68647\">No</a>\n" ]

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