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authorGeorgios Pinitas <georgios.pinitas@arm.com>2017-12-06 11:53:03 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:42:17 +0000
commit631c41a4e3645a948b0f597caa77e8fa91ca0efc (patch)
tree164fd113818b8e890fc16bad97240056cb71e747 /arm_compute/core/CL
parent57f249b08fd65af761d5c8bfe62de117d67a14c7 (diff)
downloadComputeLibrary-631c41a4e3645a948b0f597caa77e8fa91ca0efc.tar.gz
COMPMID-556: Rename Error to Status and inverse logic
Change-Id: Ib57d4f7177cc6179302bda7ad870acb8bd3825f5 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/112115 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/core/CL')
-rw-r--r--arm_compute/core/CL/kernels/CLActivationLayerKernel.h4
-rw-r--r--arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h4
-rw-r--r--arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h4
-rw-r--r--arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h10
-rw-r--r--arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h4
-rw-r--r--arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h4
-rw-r--r--arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h4
-rw-r--r--arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h4
-rw-r--r--arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h6
-rw-r--r--arm_compute/core/CL/kernels/CLPoolingLayerKernel.h4
-rw-r--r--arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h16
-rw-r--r--arm_compute/core/CL/kernels/CLTransposeKernel.h4
12 files changed, 34 insertions, 34 deletions
diff --git a/arm_compute/core/CL/kernels/CLActivationLayerKernel.h b/arm_compute/core/CL/kernels/CLActivationLayerKernel.h
index 30bf6fb0d6..5b6c44cddf 100644
--- a/arm_compute/core/CL/kernels/CLActivationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLActivationLayerKernel.h
@@ -63,9 +63,9 @@ public:
* @param[in] output Destination tensor info. Data type supported: same as @p input
* @param[in] act_info Activation layer information.
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h b/arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h
index aa4b9d6c5f..96b8dc8d48 100644
--- a/arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h
+++ b/arm_compute/core/CL/kernels/CLArithmeticAdditionKernel.h
@@ -66,9 +66,9 @@ public:
* @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QS8 (only if both inputs are QS8), QS16 (only if both inputs are QS16), S16/F16/F32.
* @param[in] policy Policy to use to handle overflow.
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h b/arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h
index 13136d93e0..c5f862a61f 100644
--- a/arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h
+++ b/arm_compute/core/CL/kernels/CLArithmeticSubtractionKernel.h
@@ -68,9 +68,9 @@ public:
* @param[in] output Output tensor info. Data types supported: U8 (Only if both inputs are U8), QS8 (only if both inputs are QS8), QS16 (only if both inputs are QS16), S16/F16/F32.
* @param[in] policy Policy to use to handle overflow.
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
index a5559bf8aa..8643d83bcc 100644
--- a/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLBatchNormalizationLayerKernel.h
@@ -75,12 +75,12 @@ public:
* @param[in] gamma Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as @p input
* @param[in] epsilon Small value to avoid division with zero.
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *output,
- const ITensorInfo *mean, const ITensorInfo *var,
- const ITensorInfo *beta, const ITensorInfo *gamma,
- float epsilon);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output,
+ const ITensorInfo *mean, const ITensorInfo *var,
+ const ITensorInfo *beta, const ITensorInfo *gamma,
+ float epsilon);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
index 2d8c3a337e..d47b7da213 100644
--- a/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLDirectConvolutionLayerKernel.h
@@ -80,9 +80,9 @@ public:
* @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.
* @param[in] target Target GPU architecture.
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, const GPUTarget target);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, const GPUTarget target);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
index a1c6a1f7e1..49e19e3c63 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel.h
@@ -79,9 +79,9 @@ public:
* @param[in] max (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
* Along with @p min, this value can be used to implement "rectified linear unit" activation functions
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
index 08554983d6..87b70efdf5 100644
--- a/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
+++ b/arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h
@@ -80,9 +80,9 @@ public:
* @param[in] max (Optional) Max value used to saturate up the output result before converting back to QASYMM8,
* Along with @p min, this value can be used to implement "rectified linear unit" activation functions
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min = 0, int max = 0);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
index 38daac69b1..d931152cb9 100644
--- a/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLNormalizationLayerKernel.h
@@ -60,9 +60,9 @@ public:
* @param[in] output Destination tensor. Output will have the same number of dimensions as input. Data types supported: same as @p input.
* @param[in] norm_info Normalization layer information like the normalization type, normalization size and other parameters.
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, NormalizationLayerInfo norm_info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
index ed876df06f..6746a49dde 100644
--- a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
+++ b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
@@ -69,10 +69,10 @@ public:
* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
- ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
+ static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float scale,
+ ConvertPolicy overflow_policy, RoundingPolicy rounding_policy);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h b/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
index ffb5d79514..e9ce28b3f9 100644
--- a/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLPoolingLayerKernel.h
@@ -64,9 +64,9 @@ public:
* @param[in] output Destination tensor info. Data types supported: Same as @p input.
* @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
index b0adb67578..c072d2a6de 100644
--- a/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
+++ b/arm_compute/core/CL/kernels/CLSoftmaxLayerKernel.h
@@ -47,9 +47,9 @@ public:
* @param[in] input Source tensor. Data types supported: QS8/QASYMM8/QS16/F16/F32
* @param[in] output Destination tensor. Data types supported: same as @p input
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *output);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
/** Interface for shifting, exponentiating and summing the logits */
@@ -82,9 +82,9 @@ public:
* @param[in] output Destination tensor. Data types supported: S32 for QASYMM8 @p input, or same as @p input
* @param[in] sum Sum of 1D logits tensor. Data types supported: S32 for QASYMM8 @p input, or same as @p input
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
@@ -129,9 +129,9 @@ public:
* @param[in] output Destination tensor. Data types supported: same as @p input
* @param[in] sum Sum of 1D logits tensor. Data types supported: same as @p input
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *max, const ITensorInfo *output, const ITensorInfo *sum);
/** Checks if the given size is eligible for parallel reduction
*
* @note Serial reduction is launched for width < (_grid_size * _serial_vector_size).
@@ -186,9 +186,9 @@ public:
* @param[in] sum Sum tensor. Dimensions should be dim(input)-1. Data types supported: same as @p input
* @param[in] output Destination tensor. Data types supported: QASYMM8 for S32 @p input, or same as @p input
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *sum, const ITensorInfo *output);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
diff --git a/arm_compute/core/CL/kernels/CLTransposeKernel.h b/arm_compute/core/CL/kernels/CLTransposeKernel.h
index e7367caf72..2e1b481d3f 100644
--- a/arm_compute/core/CL/kernels/CLTransposeKernel.h
+++ b/arm_compute/core/CL/kernels/CLTransposeKernel.h
@@ -49,9 +49,9 @@ public:
* @param[in] input Input tensor. Data types supported: U8/S8/QS8/QASYMM8/U16/S16/QS16/F16/U32/S32/F32
* @param[in] output Output tensor. Data type supported: Same as @p input
*
- * @return an error status
+ * @return a status
*/
- static Error validate(const ITensorInfo *input, const ITensorInfo *output);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output);
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_CLTRANSPOSEKERNEL_H__ */