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tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
// Slice each row of `i` and `v` to perform a separate dynamic-update-slice // on the contents of `x`. auto input_type = mlir::cast<ShapedType>(input.getType()); auto updates_type = mlir::cast<ShapedType>(updates.getType()); auto indices_type = mlir::cast<ShapedType>(indices.getType()); if (!input_type.hasRank()) return failure(); if (!updates_type.hasRank() || updates_type.isDynamicDim(0))
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0)