mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-25 00:09:02 +00:00
clean unused variables (#2446)
Do not remove calls to `sample_image_pixel_float_offset` as it is using the `verbose` mode.
This commit is contained in:
@@ -878,18 +878,16 @@ int test_read_image(cl_context context, cl_command_queue queue,
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numTries, numClamped,
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numTries, numClamped,
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true, lod);
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true, lod);
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log_error("Step by step:\n");
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log_error("Step by step:\n");
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FloatPixel temp =
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sample_image_pixel_float_offset(
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sample_image_pixel_float_offset(
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imagePtr, imageInfo,
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imagePtr, imageInfo,
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xOffsetValues[j],
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xOffsetValues[j],
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yOffsetValues[j],
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yOffsetValues[j],
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zOffsetValues[j],
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zOffsetValues[j],
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norm_offset_x,
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norm_offset_x,
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norm_offset_y,
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norm_offset_y,
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norm_offset_z, imageSampler,
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norm_offset_z,
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tempOut, 1 /*verbose*/,
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imageSampler, tempOut,
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&hasDenormals, lod);
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1 /*verbose*/,
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&hasDenormals, lod);
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log_error(
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log_error(
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"\tulps: %2.2f (max "
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"\tulps: %2.2f (max "
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"allowed: %2.2f)\n\n",
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"allowed: %2.2f)\n\n",
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@@ -931,9 +929,6 @@ int test_read_image(cl_context context, cl_command_queue queue,
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// Validate float results
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// Validate float results
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float *resultPtr = (float *)(char *)resultValues;
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float *resultPtr = (float *)(char *)resultValues;
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float expected[4], error = 0.0f;
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float expected[4], error = 0.0f;
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float maxErr = get_max_relative_error(
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imageInfo->format, imageSampler, image_type_3D,
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CL_FILTER_LINEAR == imageSampler->filter_mode);
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for (size_t z = 0, j = 0; z < depth_lod; z++)
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for (size_t z = 0, j = 0; z < depth_lod; z++)
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{
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{
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@@ -1242,26 +1237,25 @@ int test_read_image(cl_context context, cl_command_queue queue,
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j, numTries, numClamped,
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j, numTries, numClamped,
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true, lod);
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true, lod);
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log_error("Step by step:\n");
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log_error("Step by step:\n");
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FloatPixel temp =
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sample_image_pixel_float_offset(
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sample_image_pixel_float_offset(
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imagePtr, imageInfo,
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imagePtr, imageInfo,
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xOffsetValues[j],
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xOffsetValues[j],
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(num_dimensions > 1)
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(num_dimensions > 1)
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? yOffsetValues[j]
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? yOffsetValues[j]
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: 0.0f,
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: 0.0f,
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image_type_3D
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image_type_3D
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? zOffsetValues[j]
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? zOffsetValues[j]
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: 0.0f,
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: 0.0f,
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norm_offset_x,
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norm_offset_x,
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(num_dimensions > 1)
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(num_dimensions > 1)
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? norm_offset_y
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? norm_offset_y
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: 0.0f,
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: 0.0f,
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image_type_3D
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image_type_3D
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? norm_offset_z
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? norm_offset_z
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: 0.0f,
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: 0.0f,
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imageSampler, tempOut,
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imageSampler, tempOut,
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1 /*verbose*/,
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1 /*verbose*/,
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&hasDenormals, lod);
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&hasDenormals, lod);
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log_error(
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log_error(
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"\tulps: %2.2f, %2.2f, "
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"\tulps: %2.2f, %2.2f, "
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"%2.2f, %2.2f (max "
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"%2.2f, %2.2f (max "
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@@ -1632,26 +1626,25 @@ int test_read_image(cl_context context, cl_command_queue queue,
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j, numTries, numClamped,
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j, numTries, numClamped,
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true, lod);
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true, lod);
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log_error("Step by step:\n");
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log_error("Step by step:\n");
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FloatPixel temp =
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sample_image_pixel_float_offset(
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sample_image_pixel_float_offset(
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imagePtr, imageInfo,
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imagePtr, imageInfo,
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xOffsetValues[j],
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xOffsetValues[j],
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(num_dimensions > 1)
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(num_dimensions > 1)
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? yOffsetValues[j]
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? yOffsetValues[j]
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: 0.0f,
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: 0.0f,
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image_type_3D
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image_type_3D
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? zOffsetValues[j]
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? zOffsetValues[j]
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: 0.0f,
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: 0.0f,
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norm_offset_x,
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norm_offset_x,
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(num_dimensions > 1)
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(num_dimensions > 1)
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? norm_offset_y
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? norm_offset_y
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: 0.0f,
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: 0.0f,
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image_type_3D
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image_type_3D
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? norm_offset_z
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? norm_offset_z
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: 0.0f,
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: 0.0f,
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imageSampler, tempOut,
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imageSampler, tempOut,
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1 /*verbose*/,
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1 /*verbose*/,
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&hasDenormals, lod);
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&hasDenormals, lod);
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log_error(
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log_error(
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"\tulps: %2.2f, %2.2f, "
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"\tulps: %2.2f, %2.2f, "
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"%2.2f, %2.2f (max "
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"%2.2f, %2.2f (max "
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@@ -945,7 +945,7 @@ int validate_image_2D_sRGB_results(void *imageValues, void *resultValues, double
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// Validate float results
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// Validate float results
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float *resultPtr = (float *)(char *)resultValues;
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float *resultPtr = (float *)(char *)resultValues;
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float expected[4], error=0.0f;
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float expected[4], error=0.0f;
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float maxErr = get_max_relative_error( imageInfo->format, imageSampler, 0 /*not 3D*/, CL_FILTER_LINEAR == imageSampler->filter_mode );
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for( size_t y = 0, j = 0; y < height_lod; y++ )
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for( size_t y = 0, j = 0; y < height_lod; y++ )
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{
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{
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for( size_t x = 0; x < width_lod; x++, j++ )
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for( size_t x = 0; x < width_lod; x++, j++ )
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