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Diffstat (limited to 'src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp37
1 files changed, 22 insertions, 15 deletions
diff --git a/src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp b/src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp
index 69a545b76b..63aed6df32 100644
--- a/src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMTranspose1xWKernel.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -42,8 +42,9 @@ using namespace arm_compute::misc::shape_calculator;
namespace
{
-Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, int mult_transpose1xW_width)
{
+ ARM_COMPUTE_RETURN_ERROR_ON(mult_transpose1xW_width < 1);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::QASYMM8, DataType::U8, DataType::S8,
DataType::QS16, DataType::U16, DataType::S16, DataType::U32, DataType::S32,
DataType::F16, DataType::F32);
@@ -51,7 +52,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
if(output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(),
- compute_transpose1xW_with_element_size_shape(*input));
+ compute_transpose1xW_with_element_size_shape(*input, mult_transpose1xW_width));
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
}
@@ -59,11 +60,11 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
return Status{};
}
-std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, unsigned int &num_elems_processed_per_iteration)
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, unsigned int &num_elems_processed_per_iteration, int mult_transpose1xW_width)
{
num_elems_processed_per_iteration = 16 / input->element_size();
- const int scale_x = num_elems_processed_per_iteration;
+ const int scale_x = num_elems_processed_per_iteration * mult_transpose1xW_width;
bool window_changed = false;
// Configure kernel window
@@ -90,25 +91,31 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITen
}
} // namespace
-void CLGEMMTranspose1xWKernel::configure(const ICLTensor *input, ICLTensor *output)
+void CLGEMMTranspose1xWKernel::configure(const ICLTensor *input, ICLTensor *output, int mult_transpose1xW_width)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
// Output tensor auto inizialitation if not yet initialized
- auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(compute_transpose1xW_with_element_size_shape(*input->info())));
+ auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(compute_transpose1xW_with_element_size_shape(*input->info(), mult_transpose1xW_width)));
// Perform validate step
- ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), mult_transpose1xW_width));
_input = input;
_output = output;
// Configure kernel window
+ // Note: num_elems_processed_per_iteration will be set in validate_and_configure_window()
unsigned int num_elems_processed_per_iteration = 1;
- auto win_config = validate_and_configure_window(input->info(), output->info(), num_elems_processed_per_iteration);
+ auto win_config = validate_and_configure_window(input->info(), output->info(), num_elems_processed_per_iteration, mult_transpose1xW_width);
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
ICLKernel::configure(win_config.second);
+ // Create build options
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DTRANSPOSE_W=" + support::cpp11::to_string(num_elems_processed_per_iteration));
+ build_opts.add_option("-DMULT_TRANSPOSE1XW_WIDTH=" + support::cpp11::to_string(mult_transpose1xW_width));
+
/*
* Following an example of how the transposition1xW works when the input data type is F32
*
@@ -117,18 +124,18 @@ void CLGEMMTranspose1xWKernel::configure(const ICLTensor *input, ICLTensor *outp
* |a20 a21 a22 a23| = | a00 a01 a02 a03 || a10 a11 a12 a13 || a20 a21 a22 a23 || a30 a31 a32 a33 |
* |a30 a31 a32 a33|
*
- * The output matrix will have the following shape: [ height * W, ceil(width / W) ], where W = (16 / element size of the tensor)
+ * The output matrix will have the following shape: [ height * W, ceil(width / W) ], where W = (16 / element size of the tensor) * mult_transpose1xW_width
*/
// Create kernel
- std::string kernel_name = "gemm_transpose1x" + support::cpp11::to_string(num_elems_processed_per_iteration);
- _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name));
+ std::string kernel_name = "gemm_transpose1xW";
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options()));
}
-Status CLGEMMTranspose1xWKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
+Status CLGEMMTranspose1xWKernel::validate(const ITensorInfo *input, const ITensorInfo *output, int mult_transpose1xW_width)
{
unsigned int num_elems_processed_per_iteration = 1;
- ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
- ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), num_elems_processed_per_iteration).first);
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mult_transpose1xW_width));
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), num_elems_processed_per_iteration, mult_transpose1xW_width).first);
return Status{};
}