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Results 1 - 10 of 10 for unidirectional_sequence_rnn (0.27 sec)
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tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_rnn.mlir
// CHECK: { // CHECK-NEXT: version: 3, // CHECK-NEXT: operator_codes: [ { // CHECK-NEXT: deprecated_builtin_code: 35, // CHECK-NEXT: version: 1, // CHECK-NEXT: builtin_code: UNIDIRECTIONAL_SEQUENCE_RNN // CHECK-NEXT: } ], // CHECK-NEXT: subgraphs: [ { // CHECK-NEXT: tensors: [ { // CHECK-NEXT: shape: [ 4 ], // CHECK-NEXT: buffer: 1, // CHECK-NEXT: name: "arg0",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/test_schema.fbs
CUSTOM = 32, EMBEDDING_LOOKUP_SPARSE = 33, PAD = 34, UNIDIRECTIONAL_SEQUENCE_RNN = 35, GATHER = 36, BATCH_TO_SPACE_ND = 37, SPACE_TO_BATCH_ND = 38, TRANSPOSE = 39, MEAN = 40, SUB = 41, DIV = 42, SQUEEZE = 43, UNIDIRECTIONAL_SEQUENCE_LSTM = 44, STRIDED_SLICE = 45, BIDIRECTIONAL_SEQUENCE_RNN = 46, EXP = 47, TOPK_V2 = 48, SPLIT = 49, LOG_SOFTMAX = 50,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 19 19:46:06 UTC 2021 - 26.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
CUSTOM = 32, EMBEDDING_LOOKUP_SPARSE = 33, PAD = 34, UNIDIRECTIONAL_SEQUENCE_RNN = 35, GATHER = 36, BATCH_TO_SPACE_ND = 37, SPACE_TO_BATCH_ND = 38, TRANSPOSE = 39, MEAN = 40, SUB = 41, DIV = 42, SQUEEZE = 43, UNIDIRECTIONAL_SEQUENCE_LSTM = 44, STRIDED_SLICE = 45, BIDIRECTIONAL_SEQUENCE_RNN = 46, EXP = 47, TOPK_V2 = 48, SPLIT = 49, LOG_SOFTMAX = 50,
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
CUSTOM = 32, EMBEDDING_LOOKUP_SPARSE = 33, PAD = 34, UNIDIRECTIONAL_SEQUENCE_RNN = 35, GATHER = 36, BATCH_TO_SPACE_ND = 37, SPACE_TO_BATCH_ND = 38, TRANSPOSE = 39, MEAN = 40, SUB = 41, DIV = 42, SQUEEZE = 43, UNIDIRECTIONAL_SEQUENCE_LSTM = 44, STRIDED_SLICE = 45, BIDIRECTIONAL_SEQUENCE_RNN = 46, EXP = 47, TOPK_V2 = 48, SPLIT = 49, LOG_SOFTMAX = 50,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// CHECK-DAG: [[VAL_2:%.*]] = arith.constant dense<0.000000e+00> : tensor<28xf32> // CHECK-DAG: [[VAL_3:%.*]] = arith.constant dense<0.000000e+00> : tensor<1x28xf32> // CHECK: [[VAL_4:%.*]] = "tfl.unidirectional_sequence_rnn"([[VAL_0]], [[VAL_1]], [[VAL_1]], [[VAL_2]], [[VAL_3]]) <{fused_activation_function = "TANH", time_major = true}> : (tensor<28x1x28xf32>, tensor<28x28xf32>, tensor<28x28xf32>, tensor<28xf32>, tensor<1x28xf32>) -> tensor<28x1x28xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
22, 23, 24, 25, 26, 27, 28, 33, 40, 41, 42, 43, 44, 45, 46, 47}; } }]; } // UnidirectionalSequenceRNN op. def TFL_UnidirectionalSequenceRNNOp : TFL_Op<"unidirectional_sequence_rnn", [ TFL_OperandHasRank<4, 2>, PredOpTrait<"input and output must have same element type", TFL_TCresVTEtIsSameAsOp<0, 0>>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_tf.cc
if (op->getNumOperands() != 5) { op->emitError() << "We're expecting 5 inputs for UnidirectionalSequenceRNN, only " << op->getNumOperands() << " provided"; return failure(); } if (op->getNumResults() != 2) { op->emitError() << "We're expecting 2 inputs for UnidirectionalSequenceRNN, only " << op->getNumResults() << " found"; return failure(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 20:06:54 UTC 2024 - 45.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/tf_tfl_flatbuffer_helpers.cc
"'LastState' type: DT_FLOAT } output_arg: { name: 'Output' type: DT_FLOAT} " "attr : { name: '_tflite_input_indices' type: 'list(int)'}"; constexpr mlir::StringRef kUnidirectionalSequenceRnnOp = "name: 'UnidirectionalSequenceRnn' input_arg: {name: 'Input' type: " "DT_FLOAT} input_arg: { name: 'Weights' type: DT_FLOAT } " "input_arg: { name: 'RecurrentWeights' type: DT_FLOAT } input_arg: { " "name: 'Bias' type: DT_FLOAT} "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:39:37 UTC 2024 - 17.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
"CUSTOM", "EMBEDDING_LOOKUP_SPARSE", "PAD", "UNIDIRECTIONAL_SEQUENCE_RNN", "GATHER", "BATCH_TO_SPACE_ND", "SPACE_TO_BATCH_ND", "TRANSPOSE", "MEAN", "SUB", "DIV", "SQUEEZE", "UNIDIRECTIONAL_SEQUENCE_LSTM", "STRIDED_SLICE", "BIDIRECTIONAL_SEQUENCE_RNN", "EXP", "TOPK_V2", "SPLIT", "LOG_SOFTMAX",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0)