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Results 1 - 5 of 5 for kernel_type (0.21 sec)
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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.mlir
%arg1, %arg2, %arg3, %arg4, %arg5, %arg6, %arg7, %arg8, %arg9, %arg10, %arg11, %arg12, %arg13, %arg14, %arg15, %arg16, %arg17, %cst0, %cst1, %arg18, %arg19, %arg20, %arg21) ({}) {cell_clip = 0.000000e+00 : f32, fused_activation_function = "NONE", kernel_type = #tfl<lstm_kernel_type_attr FULL>, proj_clip = 0.000000e+00 : f32} : (tensor<1x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4xf32>, tensor<4xf32>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_operator.cc
mlir::TFL::LSTMKernelType kernel_type; switch (value) { case tflite::LSTMKernelType_FULL: kernel_type = mlir::TFL::LSTMKernelType::FULL; break; case tflite::LSTMKernelType_BASIC: kernel_type = mlir::TFL::LSTMKernelType::BASIC; break; } return mlir::TFL::LSTMKernelTypeAttr::get(builder.getContext(), kernel_type); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 38K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
cell_clip: float; // Optional, 0.0 means no clipping proj_clip: float; // Optional, 0.0 means no clipping // Parameters for LSTM version 2 or above. // Basic kernel is only supported in version 2 or above. kernel_type: LSTMKernelType = FULL; // Parameters for LSTM version 4 or above. asymmetric_quantize_inputs: bool; } // An implementation of TensorFlow dynamic_rnn with LSTMCell.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 14:28:27 UTC 2024 - 30K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema.fbs
cell_clip: float; // Optional, 0.0 means no clipping proj_clip: float; // Optional, 0.0 means no clipping // Parameters for LSTM version 2 or above. // Basic kernel is only supported in version 2 or above. kernel_type: LSTMKernelType = FULL; // Parameters for LSTM version 4 or above. asymmetric_quantize_inputs: bool; } // An implementation of TensorFlow dynamic_rnn with LSTMCell.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0)