From 2ea3761416aab259d9d84620dba2e011bcb5d880 Mon Sep 17 00:00:00 2001
From: Isabella Gottardi <isabella.gottardi@arm.com>
Date: Tue, 16 Jul 2019 11:48:51 +0100
Subject: COMPMID-2336: Fix InPlaceMutator condition and add SaveNumpyAccessor

Change-Id: I223a688cfc19465f8581f691b32891cefd375907
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1555
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
---
 utils/GraphUtils.cpp | 14 ++++++++++++++
 utils/GraphUtils.h   | 46 ++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 60 insertions(+)

(limited to 'utils')

diff --git a/utils/GraphUtils.cpp b/utils/GraphUtils.cpp
index 6be289a7e1..dad9aed6a5 100644
--- a/utils/GraphUtils.cpp
+++ b/utils/GraphUtils.cpp
@@ -184,6 +184,20 @@ bool NumPyAccessor::access_tensor(ITensor &tensor)
     return false;
 }
 
+SaveNumPyAccessor::SaveNumPyAccessor(std::string npy_name, const bool is_fortran)
+    : _npy_name(std::move(npy_name)), _is_fortran(is_fortran)
+{
+}
+
+bool SaveNumPyAccessor::access_tensor(ITensor &tensor)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&tensor, 1, DataType::F32);
+
+    utils::save_to_npy(tensor, _npy_name, _is_fortran);
+
+    return false;
+}
+
 ImageAccessor::ImageAccessor(std::string filename, bool bgr, std::unique_ptr<IPreprocessor> preprocessor)
     : _already_loaded(false), _filename(std::move(filename)), _bgr(bgr), _preprocessor(std::move(preprocessor))
 {
diff --git a/utils/GraphUtils.h b/utils/GraphUtils.h
index 88221c7dc8..fe19eb3196 100644
--- a/utils/GraphUtils.h
+++ b/utils/GraphUtils.h
@@ -167,6 +167,31 @@ private:
     std::ostream     &_output_stream;
 };
 
+/** SaveNumPy accessor class */
+class SaveNumPyAccessor final : public graph::ITensorAccessor
+{
+public:
+    /** Constructor
+     *
+     * @param[in] npy_name   Npy file name.
+     * @param[in] is_fortran (Optional) If true, save tensor in fortran order.
+     */
+    SaveNumPyAccessor(const std::string npy_name, const bool is_fortran = false);
+    /** Allow instances of this class to be move constructed */
+    SaveNumPyAccessor(SaveNumPyAccessor &&) = default;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    SaveNumPyAccessor(const SaveNumPyAccessor &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    SaveNumPyAccessor &operator=(const SaveNumPyAccessor &) = delete;
+
+    // Inherited methods overriden:
+    bool access_tensor(ITensor &tensor) override;
+
+private:
+    const std::string _npy_name;
+    const bool        _is_fortran;
+};
+
 /** Image accessor class */
 class ImageAccessor final : public graph::ITensorAccessor
 {
@@ -558,6 +583,27 @@ inline std::unique_ptr<graph::ITensorAccessor> get_npy_output_accessor(const std
     }
 }
 
+/** Generates appropriate npy output accessor according to the specified npy_path
+ *
+ * @note If npy_path is empty will generate a DummyAccessor else will generate a SaveNpyAccessor
+ *
+ * @param[in] npy_name   Npy filename.
+ * @param[in] is_fortran (Optional) If true, save tensor in fortran order.
+ *
+ * @return An appropriate tensor accessor
+ */
+inline std::unique_ptr<graph::ITensorAccessor> get_save_npy_output_accessor(const std::string &npy_name, const bool is_fortran = false)
+{
+    if(npy_name.empty())
+    {
+        return arm_compute::support::cpp14::make_unique<DummyAccessor>(0);
+    }
+    else
+    {
+        return arm_compute::support::cpp14::make_unique<SaveNumPyAccessor>(npy_name, is_fortran);
+    }
+}
+
 /** Permutes a given tensor shape given the input and output data layout
  *
  * @param[in] tensor_shape    Tensor shape to permute
-- 
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