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tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_patterns.cc
const int64_t flat_size = input_type.getNumElements(); const int64_t width = flat_size / depth; SmallVector<int64_t, 4> input_new_shape({1, 1, width, depth}); auto reshaped_input = InsertReshapeOp(fc_op.getLoc(), input, input_type.getElementType(), input_new_shape, &rewriter); // Insert a reshape after the weight. // We will reshape the weight into [output, 1, 1, depth]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 25.4K bytes - Viewed (0)