commit 2b84be544e4a27f7e8e80827e9c85c8f0d58b4ce
author Manuel Bottini <manuel.bottini@arm.com> Wed Apr 08 10:15:51 2020 +0100
committer Manuel Bottini <manuel.bottini@arm.com> Thu Apr 23 17:53:59 2020 +0000
tree 078051a911f9b8883a3f11955cfd3b7ba0d7d9f3
parent 0de45d0a8009e19331c4e29d617fa183167c513a

COMPMID-3280: Make all ML primitives for CL use the new interface - Part 2

- CLFunctions have been updated

Change-Id: Ie3256a6c775bc12f3126482bd8e8a46da54b267c
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3053
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

src/runtime/CL/functions/CLSoftmaxLayer.cpp

diff --git a/src/runtime/CL/functions/CLSoftmaxLayer.cpp b/src/runtime/CL/functions/CLSoftmaxLayer.cpp
index e01d2c7..b0b2117 100644
--- a/src/runtime/CL/functions/CLSoftmaxLayer.cpp
+++ b/src/runtime/CL/functions/CLSoftmaxLayer.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -44,6 +44,12 @@
 template <bool IS_LOG>
 void CLSoftmaxLayerGeneric<IS_LOG>::configure_reshape_input_kernel(const ICLTensor *input, const ICLTensor *output, size_t axis)
 {
+    configure_reshape_input_kernel(CLKernelLibrary::get().get_compile_context(), input, output, axis);
+}
+
+template <bool IS_LOG>
+void CLSoftmaxLayerGeneric<IS_LOG>::configure_reshape_input_kernel(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *output, size_t axis)
+{
     // Flatten the input
     const TensorShape shape_flatten = misc::shape_calculator::compute_softmax_shape(input->info(), axis);
 
@@ -56,13 +62,13 @@
     if(axis != 3)
     {
         auto reshape_kernel_ptr = support::cpp14::make_unique<CLReshapeLayerKernel>();
-        reshape_kernel_ptr->configure(input, &_input_flattened);
+        reshape_kernel_ptr->configure(compile_context, input, &_input_flattened);
         _flatten_kernel_ptr = std::move(reshape_kernel_ptr);
     }
     else
     {
         auto flatten_kernel_ptr = support::cpp14::make_unique<CLFlattenLayerKernel>();
-        flatten_kernel_ptr->configure(input, &_input_flattened);
+        flatten_kernel_ptr->configure(compile_context, input, &_input_flattened);
         _flatten_kernel_ptr = std::move(flatten_kernel_ptr);
     }
 
@@ -74,6 +80,12 @@
 template <bool IS_LOG>
 void CLSoftmaxLayerGeneric<IS_LOG>::configure(const ICLTensor *input, ICLTensor *output, float beta, size_t axis)
 {
+    configure(CLKernelLibrary::get().get_compile_context(), input, output, beta, axis);
+}
+
+template <bool IS_LOG>
+void CLSoftmaxLayerGeneric<IS_LOG>::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, float beta, size_t axis)
+{
     // Perform validation step
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_ERROR_THROW_ON(CLSoftmaxLayerGeneric<IS_LOG>::validate(input->info(), output->info(), beta, axis));
@@ -123,7 +135,7 @@
     softmax_info.input_data_type = input_2D->info()->data_type();
 
     // Configure kernels
-    _max_shift_exp_sum_kernel.configure(input_2D, &_max, &_tmp, &_sum, softmax_info);
+    _max_shift_exp_sum_kernel.configure(compile_context, input_2D, &_max, &_tmp, &_sum, softmax_info);
 
     if(_needs_flattening)
     {
@@ -131,10 +143,10 @@
         _memory_group.manage(&_output_flattened);
 
         // The normalization kernel stores the result in a flat output tensor
-        _norm_kernel.configure(&_tmp, &_sum, &_output_flattened, softmax_info);
+        _norm_kernel.configure(compile_context, &_tmp, &_sum, &_output_flattened, softmax_info);
 
         // Reshape the flat output into a the requested (4D) output
-        _reshape_kernel.configure(&_output_flattened, output);
+        _reshape_kernel.configure(compile_context, &_output_flattened, output);
 
         // Allocate the intermediate flat tensors
         _input_flattened.allocator()->allocate();
@@ -143,7 +155,7 @@
     else
     {
         // Softmax 2D case
-        _norm_kernel.configure(&_tmp, &_sum, output, softmax_info);
+        _norm_kernel.configure(compile_context, &_tmp, &_sum, output, softmax_info);
     }
 
     // Allocate intermediate buffers
@@ -203,7 +215,7 @@
 }
 
 template <bool IS_LOG>
-void CLSoftmaxLayerGeneric<IS_LOG>::run()
+void           CLSoftmaxLayerGeneric<IS_LOG>::run()
 {
     MemoryGroupResourceScope scope_mg(_memory_group);