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Results 1 - 3 of 3 for low_padding (0.18 sec)
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tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
llvm::SmallVector<int64_t, 4> low_padding(rank, 0); llvm::SmallVector<int64_t, 4> high_padding(rank, 0); llvm::SmallVector<int64_t, 4> interior_padding(rank, 0); low_padding[axis] = 1; high_padding[axis] = -1; result = rewriter.create<PadOp>( op.getLoc(), result, init, GetI64ElementsAttr(low_padding, &rewriter), GetI64ElementsAttr(high_padding, &rewriter),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/optimize_layout.cc
if (padding.has_value()) { SmallVector<int64_t> new_padding(rank * 2, 0); auto old_padding = (*padding).getValues<int64_t>(); for (int64_t idx = 0; idx < rank; ++idx) { new_padding[2 * transpose_perm[idx]] = old_padding[2 * idx]; new_padding[2 * transpose_perm[idx] + 1] = old_padding[2 * idx + 1]; } new_padding_attr =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 21:59:06 UTC 2024 - 8.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
// Emulate negative padding with a slice and remove negative values from the // padding vector. Value sliced_lhs = SliceNegativePadding(lhs, explicit_padding, rewriter); auto new_padding = llvm::to_vector<(num_spatial_dims * 2) + 4>(llvm::map_range( explicit_padding, [](int64_t dim) { return dim > 0 ? dim : 0; }));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0)