From efbf6c8fd54159b26eda43eea7a12fce491ca13a Mon Sep 17 00:00:00 2001 From: giuros01 Date: Mon, 3 Sep 2018 09:53:53 +0100 Subject: [COMPMID-386] Github: Support SoftmaxLayer on different number of dimensions? Change-Id: I7422b977538ff29930a90f078badc2edee78af93 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146638 Tested-by: Jenkins Reviewed-by: Georgios Pinitas --- arm_compute/runtime/CL/functions/CLSoftmaxLayer.h | 23 ++++++++++++++++------- 1 file changed, 16 insertions(+), 7 deletions(-) (limited to 'arm_compute/runtime/CL/functions/CLSoftmaxLayer.h') diff --git a/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h b/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h index 90c99d6569..8d2c03f930 100644 --- a/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h +++ b/arm_compute/runtime/CL/functions/CLSoftmaxLayer.h @@ -58,16 +58,22 @@ public: * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32 * @param[out] output Destination tensor. Data types supported: same as @p input * @param[in] beta (Optional) A scaling factor for the exponent. Defaults to 1.f + * @param[in] axis (Optional) Reduction axis. It has the purpose of squashing the first @p axis + * dimensions together. For instance, given a [4x4x4x4] image, + * when @p axis is 2, the Softmax reduction will be applied on each of the [4x4] planes of the input image. */ - void configure(const ICLTensor *input, ICLTensor *output, float beta = 1.0f); + void configure(const ICLTensor *input, ICLTensor *output, float beta = 1.0f, size_t axis = 1); /** Static function to check if given info will lead to a valid configuration of @ref CLSoftmaxLayer * * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32 * @param[in] output Destination tensor. Data types supported: same as @p input - * + * @param[in] beta (Optional) A scaling factor for the exponent. Defaults to 1.f + * @param[in] axis (Optional) Reduction axis. It has the purpose of squashing the first @p axis + * dimensions together. For instance, given a [4x4x4x4] image, + * when @p axis is 2, the Softmax reduction will be applied on each of the [4x4] planes of the input image. * @return a status */ - static Status validate(const ITensorInfo *input, const ITensorInfo *output); + static Status validate(const ITensorInfo *input, const ITensorInfo *output, float beta = 1.0f, size_t axis = 1); // Inherited methods overridden: void run() override; @@ -82,19 +88,22 @@ private: * * @param[in] input Original source tensor. * @param[in] output Original destination tensor. + * @param[in] axis (Optional) Reduction axis. It has the purpose of squashing the first @p axis + * dimensions together. For instance, given a [4x4x4x4] image, + * when @p axis is 2, the Softmax reduction will be applied on each of the [4x4] planes of the input image. */ - void configure_flatten_kernel(const ICLTensor *input, const ICLTensor *output); + void configure_reshape_input_kernel(const ICLTensor *input, const ICLTensor *output, size_t axis); CLMemoryGroup _memory_group; CLLogits1DMaxShiftExpSumKernel _max_shift_exp_sum_kernel; CLLogits1DNormKernel _norm_kernel; - CLFlattenLayerKernel _flatten_kernel; + std::unique_ptr _flatten_kernel_ptr; CLReshapeLayerKernel _reshape_kernel; CLTensor _max; CLTensor _sum; CLTensor _tmp; - CLTensor _input_flat; - CLTensor _output_flat; + CLTensor _input_flattened; + CLTensor _output_flattened; bool _needs_flattening; }; } -- cgit v1.2.1