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Results 1 - 4 of 4 for seq_dim (0.1 sec)
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tensorflow/cc/gradients/array_grad.cc
auto seq_lengths = op.input(1); int batch_dim; TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "batch_dim", &batch_dim)); int seq_dim; TF_RETURN_IF_ERROR(GetNodeAttr(op.node()->attrs(), "seq_dim", &seq_dim)); grad_outputs->push_back( ReverseSequence(scope, grad_inputs[0], seq_lengths, seq_dim, ReverseSequence::BatchDim(batch_dim))); grad_outputs->push_back(NoGradient()); return scope.status(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 10 23:33:32 UTC 2023 - 31.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_patterns.td
ConstantAttr<RankedI64ElementsAttr<[]>,"static_cast<int64_t>(0)">))>; def LegalizeReverseSequence : Pat< (TF_ReverseSequenceOp $input, $seq_lengths, $seq_dim, $batch_dim), (TFL_ReverseSequenceOp $input, $seq_lengths, (convertIntAttrTo32Bit $seq_dim), (convertIntAttrTo32Bit $batch_dim))>; def LegalizeRound : Pat<(TF_RoundOp $arg), (TFL_RoundOp $arg)>; def LegalizeRsqrt : Pat<(TF_RsqrtOp $arg), (TFL_RsqrtOp $arg)>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 28.5K bytes - Viewed (0) -
tensorflow/cc/gradients/array_grad_test.cc
auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(shape)); auto seq_lengths = Const(scope_, {1, 2, 3, 4, 5}); // batch_dim defaults to 0. auto y = ReverseSequence(scope_, x, seq_lengths, /* seq_dim */ 2); RunTest(x, shape, y, shape); } TEST_F(ArrayGradTest, ReverseGrad) { TensorShape shape({5, 2, 5}); auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(shape));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 10 23:33:32 UTC 2023 - 19.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
func.func @reverse_sequence(%arg0: tensor<4x2x3x1x1xi32>, %arg1: tensor<3xi32>) -> tensor<4x2x3x1x1xi32> { // CHECK-NOT: tf.ReverseSequence %0 = "tf.ReverseSequence"(%arg0, %arg1) {batch_dim = 2 : i64, seq_dim = 0 : i64}: (tensor<4x2x3x1x1xi32>, tensor<3xi32>) -> tensor<4x2x3x1x1xi32> func.return %0 : tensor<4x2x3x1x1xi32> } // CHECK-LABEL: mirror_pad
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (1)