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Results 1 - 10 of 102 for get_shape (0.17 sec)
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tensorflow/compiler/mlir/tfr/ir/tfr_ops.td
} }]; let hasCanonicalizer = 1; } def TFR_GetShapeOp : TFR_Op<"get_shape", [Pure]> { let description = [{ The `get_shape` operation gets the shape of a tfr.tensor and returns !shape.shape type. Example: ```mlir %1 = "tfr.get_shape"(%0) : !tfr.tensor -> !shape.shape %1 = tfr.get_shape %0 -> !shape.shape ``` }]; let arguments = (ins TFR_TensorType:$arg);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 10:54:29 UTC 2024 - 17.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/utils.h
} int rank = shaped_type.getRank(); if (rank < 2) { return nullptr; } SmallVector<int64_t> new_shape(shaped_type.getShape().begin(), shaped_type.getShape().end()); std::swap(new_shape[rank - 1], new_shape[rank - 2]); return shaped_type.clone(new_shape); } // Returns a ShapedType for a permutation and the shape of input after
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/convert_tf_xla_op_to_tf_op.cc
mlir::cast<ShapedType>(slice_sizes.getType()).getShape(), builder.getI64Type()), slice_sizes)); // Collapses dimensions by reshaping. SmallVector<int64_t> new_shape(operand_rank - collapsed_dims.size()); for (int64_t i = 0, j = 0; i < operand_rank; i++) { if (!collapsed_dims.contains(i)) { new_shape[j++] = operand_shape[i]; } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 13.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
// only when height = width. if (params_type.getShape().size() != 4 || indices_type.getShape().size() != 2) return failure(); if (params_type.getShape()[1] != 1) return failure(); if (params_type.getShape()[0] != params_type.getShape()[2]) return failure(); if (result_type.getShape()[0] != params_type.getShape()[0] * 2) return failure();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_patterns.cc
// Get the new shape. SmallVector<int64_t, 4> new_shape; for (int i = 0; i < 4 - rank; ++i) { new_shape.push_back(1); } for (auto size : input_type.getShape()) { new_shape.push_back(size); } auto reshape_op = InsertReshapeOp(concat_op.getLoc(), input, input_type.getElementType(), new_shape, &rewriter); reshape_ops.push_back(reshape_op.getResult());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 25.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_tf.cc
mlir::cast<ShapedType>(lhs.getType()).getShape(), mlir::cast<ShapedType>(rhs.getType()).getShape(), symbolic_broadcast_shape)) { return failure(); } // Calculates the broadcast shape using BroadcastArgs op. Value lhs_shape = GetShape(lhs, op->getLoc(), rewriter); Value rhs_shape = GetShape(rhs, op->getLoc(), rewriter); auto broadcast_shape =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 20:06:54 UTC 2024 - 45.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tpu_space_to_depth_pass.cc
TF::ReshapeOp GetReshapeOpForConv2DFilter(ArrayRef<int64_t> new_shape, Value input, OpBuilder* builder) { auto reshape_result_type = RankedTensorType::get(new_shape, getElementTypeOrSelf(input)); auto reshape_type = RankedTensorType::get( {static_cast<int64_t>(new_shape.size())}, builder->getIntegerType(64));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 29.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_tensor_helper.cc
} } ArrayRef<int64_t> shape = ranked_ty.getShape(); SmallVector<int64_t, 4> out_shape; out_shape.reserve(rank - (keep_dims.getValue() ? 0 : num_reduce_dim)); for (int64_t i = 0; i < rank; ++i) { if (!is_reduce_dim[i]) out_shape.push_back(shape[i]); else if (keep_dims.getValue()) out_shape.push_back(1); } return RankedTensorType::get(out_shape, element_ty); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_layout_helper.cc
ArrayRef<int64_t> shape = ranked_type.getShape(); assert(permutation.size() == shape.size()); SmallVector<int64_t, 4> new_shape(permutation.size()); for (size_t i = 0; i < permutation.size(); ++i) new_shape[i] = shape[permutation[i]]; return RankedTensorType::get(new_shape, ranked_type.getElementType()); } return type; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/einsum.cc
const int64_t b = lhs_type.getShape()[std::get<0>(i)]; lhs_shape.push_back(b); out_shape->push_back(b); lhs_reshape_segids.at(std::get<0>(i)) = num_lhs_reshape_segids++; } } else { const int64_t lhs_out_size = ProdShapeWithIndexInTuple<0>(lhs_type.getShape(), dnums.lhs_out); lhs_shape.push_back(lhs_out_size); out_shape->push_back(lhs_out_size);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 33.3K bytes - Viewed (0)