- Sort Score
- Result 10 results
- Languages All
Results 1 - 3 of 3 for begin_shape (0.27 sec)
-
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
const ArrayRef<int64_t> begin_shape = begin_type.getShape(); const int begin_dim = begin_shape.size(); if (begin_dim != 1) return failure(); // The ellipsis fill might exceed the current output shape because we are // also taking account of any to-be-inserted new axes. const int ellipsis_filled_dim_size = input_size - begin_shape[0] + 1 + absl::popcount(new_axis_mask);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/lstm_utils.cc
ArrayRef<int64_t> GetRankedTensorShape(Value value) { return mlir::cast<RankedTensorType>(value.getType()).getShape(); } Value SliceRankedTensor(OpBuilder* builder, Value input, ArrayRef<int64_t> begin_shape, ArrayRef<int64_t> begin_values, ArrayRef<int64_t> size_shape, ArrayRef<int64_t> size_values, mlir::Location location) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 36.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
rewriter.create<TFL::MinimumOp>(op->getLoc(), cast, upper_limit_cst); } Value concatenated = start_indices[0]; if (rank > 1) { SmallVector<int64_t> begin_shape{rank}; Type begin_type = operand_type.cloneWith(begin_shape, i64_type); concatenated = rewriter.create<TFL::ConcatenationOp>( op->getLoc(), begin_type, start_indices, /*axis=*/0,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0)