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Results 1 - 1 of 1 for needs_truncation (0.13 sec)
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tensorflow/compiler/mlir/lite/utils/utils.h
SmallVector<int32_t> shape; shape.reserve(output_shape.size()); bool needs_truncation = true; for (size_t dim_idx = 0; dim_idx < output_shape.size(); ++dim_idx) { int64_t dim = output_shape[dim_idx]; if (truncate && needs_truncation && dim == 1) { continue; } else if (needs_truncation && dim != 1) { needs_truncation = false; } shape.push_back(ShapedType::isDynamic(dim) ? -1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 11.6K bytes - Viewed (0)