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Results 1 - 5 of 5 for diagonal_recurrent_tensors (0.32 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
[[VAL_15]]#2, [[VAL_15]]#3, [[VAL_19]], [[VAL_19]], [[VAL_19]], [[VAL_18]]#0, [[VAL_18]]#1, [[VAL_18]]#2, [[VAL_18]]#3, [[VAL_19]], [[VAL_19]], [[VAL_1]], [[VAL_2]], [[VAL_19]], [[VAL_19]], [[VAL_19]], [[VAL_19]]) <{cell_clip = 1.000000e+01 : f32, diagonal_recurrent_tensors = false, fused_activation_function = "TANH", proj_clip = 0.000000e+00 : f32, time_major = true}> : (tensor<?x8x8xf32>, tensor<10x8xf32>, tensor<10x8xf32>, tensor<10x8xf32>, tensor<10x8xf32>, tensor<10x10xf32>, tensor<10x10xf32>, tensor<10x10xf32>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.mlir
%arg2, %arg3, %arg4, %arg5, %arg6, %arg7, %arg8, %arg9, %arg10, %arg11, %arg12, %arg13, %arg14, %arg15, %arg16, %arg17, %arg18, %arg19, %arg20, %arg21, %arg22, %arg23) <{asymmetric_quantize_inputs = false, cell_clip = 1.000000e+01 : f32, diagonal_recurrent_tensors = false, effective_hidden_scale_intermediate = tensor<0x!quant.uniform<i8:f32, 0.0077881771139800549>>, fused_activation_function = "TANH", input_to_cell_intermediate = tensor<0xf32>, input_to_forget_intermediate = tensor<0xf32>, input_...
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/utils/lstm_utils.cc
/*proj_clip*/ builder->getF32FloatAttr(0.0), /*time_major*/ builder->getBoolAttr(time_majored), /*asymmetric_quantize_inputs=*/mlir::BoolAttr(), /*diagonal_recurrent_tensors=*/builder->getBoolAttr(indy), /*input_to_input_intermediate=*/mlir::TypeAttr(), /*input_to_forget_intermediate=*/mlir::TypeAttr(), /*input_to_cell_intermediate=*/mlir::TypeAttr(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 36.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
auto _diagonal_recurrent_tensors = _o->diagonal_recurrent_tensors; return tflite::CreateUnidirectionalSequenceLSTMOptions( _fbb, _fused_activation_function, _cell_clip, _proj_clip, _time_major, _asymmetric_quantize_inputs, _diagonal_recurrent_tensors); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
// IndyLSTM optimizations (i.e. optimizations enabled because of diagonal // recurrent weight matrices that are provided as vectors) OptionalAttr<BoolAttr>:$diagonal_recurrent_tensors, // Types of the optional intermediate tensors, which exist for fully // quantized op and hold the ranges of the intermediate tensors.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0)