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Results 1 - 3 of 3 for dense_defaults (0.15 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td
let arguments = (ins TF_StrTensor:$serialized, TF_StrTensor:$names, Variadic<TF_StrTensor>:$sparse_keys, Variadic<TF_StrTensor>:$dense_keys, Variadic<TensorOf<[TF_Float32, TF_Int64, TF_Str]>>:$dense_defaults, TF_ShapeAttrArray:$dense_shapes ); let results = (outs Variadic<TF_Int64Tensor>:$sparse_indices, // len(sparse_types)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 04:08:35 UTC 2024 - 90.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
// consistency of the argument and result types. // Validate dense variadic input and output lengths. // NOTE(mrry): The Tdense attr is derived from dense_defaults, so we // do not need to validate dense_defaults. auto dense_types_count = std::distance(op.getTdense().begin(), op.getTdense().end()); auto dense_values_count =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/fallback.mlir
func.func @main(%serialized: tensor<32x!tf_type.string>) -> (tensor<?x2xi64>) attributes {tf.entry_function = {inputs = "input0", outputs = "ParseExample/ParseExampleV2"}} { %dense_default_0 = "tf.Const"() {device = "/device:CPU:0", dtype = f32, value = dense<[]> : tensor<0xf32>} : () -> tensor<0xf32> %dense_default_1 = "tf.Const"() {device = "/device:CPU:0", dtype = f32, value = dense<[]> : tensor<0xf32>} : () -> tensor<0xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 9.1K bytes - Viewed (0)