mirror of
https://github.com/baldurk/renderdoc.git
synced 2026-05-29 13:20:54 +00:00
baldurk
597 lines
28 KiB
Python
597 lines
28 KiB
Python
import rdtest
|
|
import renderdoc as rd
|
|
|
|
|
|
class GL_CBuffer_Zoo(rdtest.TestCase):
|
|
demos_test_name = 'GL_CBuffer_Zoo'
|
|
|
|
def check_capture(self):
|
|
action = self.find_action("Draw")
|
|
|
|
self.check(action is not None)
|
|
|
|
self.controller.SetFrameEvent(action.eventId, False)
|
|
|
|
pipe: rd.PipeState = self.controller.GetPipelineState()
|
|
|
|
refl = pipe.GetShaderReflection(rd.ShaderStage.Fragment)
|
|
|
|
# identify the constant buffer
|
|
cbufIdx = [index for index, c in enumerate(refl.constantBlocks) if c.bufferBacked][0]
|
|
|
|
stage = rd.ShaderStage.Pixel
|
|
cbuf = pipe.GetConstantBlock(stage, cbufIdx, 0).descriptor
|
|
|
|
var_check = rdtest.ConstantBufferChecker(
|
|
self.controller.GetCBufferVariableContents(pipe.GetGraphicsPipelineObject(),
|
|
pipe.GetShader(stage), stage,
|
|
pipe.GetShaderEntryPoint(stage), cbufIdx,
|
|
cbuf.resource, cbuf.byteOffset, cbuf.byteSize))
|
|
|
|
# For more detailed reference for the below checks, see the commented definition of the cbuffer
|
|
# in the shader source code in the demo itself
|
|
|
|
# vec4 a;
|
|
var_check.check('a').cols(4).rows(1).value([0.0, 1.0, 2.0, 3.0])
|
|
|
|
# vec3 b;
|
|
var_check.check('b').cols(3).rows(1).value([4.0, 5.0, 6.0])
|
|
|
|
# vec2 c; vec2 d;
|
|
var_check.check('c').cols(2).rows(1).value([8.0, 9.0])
|
|
var_check.check('d').cols(2).rows(1).value([10.0, 11.0])
|
|
|
|
# float e; vec3 f;
|
|
var_check.check('e').cols(1).rows(1).value([12.0])
|
|
var_check.check('f').cols(3).rows(1).value([16.0, 17.0, 18.0])
|
|
|
|
# vec4 dummy0;
|
|
var_check.check('dummy0')
|
|
|
|
# float j; vec2 k;
|
|
var_check.check('j').cols(1).rows(1).value([24.0])
|
|
var_check.check('k').cols(2).rows(1).value([26.0, 27.0])
|
|
|
|
# vec2 l; float m;
|
|
var_check.check('l').cols(2).rows(1).value([28.0, 29.0])
|
|
var_check.check('m').cols(1).rows(1).value([30.0])
|
|
|
|
# float n[4];
|
|
var_check.check('n').cols(0).rows(0).arraySize(4).members({
|
|
0: lambda x: x.cols(1).rows(1).value([32.0]),
|
|
1: lambda x: x.cols(1).rows(1).value([36.0]),
|
|
2: lambda x: x.cols(1).rows(1).value([40.0]),
|
|
3: lambda x: x.cols(1).rows(1).value([44.0]),
|
|
})
|
|
|
|
# vec4 dummy1;
|
|
var_check.check('dummy1')
|
|
|
|
# float o[4];
|
|
var_check.check('o').cols(0).rows(0).arraySize(4).members({
|
|
0: lambda x: x.cols(1).rows(1).value([52.0]),
|
|
1: lambda x: x.cols(1).rows(1).value([56.0]),
|
|
2: lambda x: x.cols(1).rows(1).value([60.0]),
|
|
3: lambda x: x.cols(1).rows(1).value([64.0]),
|
|
})
|
|
|
|
# float p;
|
|
var_check.check('p').cols(1).rows(1).value([68.0])
|
|
|
|
# vec4 dummy2;
|
|
var_check.check('dummy2')
|
|
|
|
# column_major vec4x4 q;
|
|
var_check.check('q').cols(4).rows(4).column_major().value([76.0, 80.0, 84.0, 88.0,
|
|
77.0, 81.0, 85.0, 89.0,
|
|
78.0, 82.0, 86.0, 90.0,
|
|
79.0, 83.0, 87.0, 91.0])
|
|
|
|
# row_major vec4x4 r;
|
|
var_check.check('r').cols(4).rows(4).row_major().value([92.0, 93.0, 94.0, 95.0,
|
|
96.0, 97.0, 98.0, 99.0,
|
|
100.0, 101.0, 102.0, 103.0,
|
|
104.0, 105.0, 106.0, 107.0])
|
|
|
|
# column_major vec4x3 s;
|
|
var_check.check('s').cols(4).rows(3).column_major().value([108.0, 112.0, 116.0, 120.0,
|
|
109.0, 113.0, 117.0, 121.0,
|
|
110.0, 114.0, 118.0, 122.0])
|
|
|
|
# vec4 dummy3;
|
|
var_check.check('dummy3')
|
|
|
|
# row_major vec4x3 t;
|
|
var_check.check('t').cols(4).rows(3).row_major().value([128.0, 129.0, 130.0, 131.0,
|
|
132.0, 133.0, 134.0, 135.0,
|
|
136.0, 137.0, 138.0, 139.0])
|
|
|
|
# vec4 dummy4;
|
|
var_check.check('dummy4')
|
|
|
|
# column_major vec2x3 u;
|
|
var_check.check('u').cols(3).rows(2).column_major().value([144.0, 148.0, 152.0,
|
|
145.0, 149.0, 153.0])
|
|
|
|
# vec4 dummy5;
|
|
var_check.check('dummy5')
|
|
|
|
# row_major vec3x2 v;
|
|
var_check.check('v').cols(3).rows(2).row_major().value([160.0, 161.0, 162.0,
|
|
164.0, 165.0, 166.0])
|
|
|
|
# vec4 dummy6;
|
|
var_check.check('dummy6')
|
|
|
|
# column_major vec3x2 w;
|
|
var_check.check('w').cols(2).rows(2).column_major().value([172.0, 176.0,
|
|
173.0, 177.0])
|
|
|
|
# vec4 dummy7;
|
|
var_check.check('dummy7')
|
|
|
|
# row_major vec3x2 x;
|
|
var_check.check('x').cols(2).rows(2).row_major().value([184.0, 185.0,
|
|
188.0, 189.0])
|
|
|
|
# vec4 dummy8;
|
|
var_check.check('dummy8')
|
|
|
|
# row_major vec2x2 y;
|
|
var_check.check('y').cols(2).rows(2).row_major().value([196.0, 197.0,
|
|
200.0, 201.0])
|
|
|
|
# float z;
|
|
var_check.check('z').cols(1).rows(1).value([204.0])
|
|
|
|
# vec4 dummy9;
|
|
var_check.check('dummy9')
|
|
|
|
# vec4 multiarray[3][2];
|
|
var_check.check('multiarray').cols(0).rows(0).arraySize(3).members({
|
|
0: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value([228.0, 229.0, 230.0, 231.0]),
|
|
1: lambda y: y.cols(4).rows(1).value([232.0, 233.0, 234.0, 235.0]),
|
|
}),
|
|
1: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value([236.0, 237.0, 238.0, 239.0]),
|
|
1: lambda y: y.cols(4).rows(1).value([240.0, 241.0, 242.0, 243.0]),
|
|
}),
|
|
2: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value([244.0, 245.0, 246.0, 247.0]),
|
|
1: lambda y: y.cols(4).rows(1).value([248.0, 249.0, 250.0, 251.0]),
|
|
}),
|
|
})
|
|
|
|
# struct vec3_1 { vec3 a; float b; };
|
|
# struct nested { vec3_1 a; vec4 b[4]; vec3_1 c[4]; };
|
|
# nested structa[2];
|
|
var_check.check('structa').cols(0).rows(0).arraySize(2).members({
|
|
# structa[0]
|
|
0: lambda s: s.cols(0).rows(0).structSize(3).members({
|
|
'a': lambda x: x.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda y: y.cols(3).rows(1).value([252.0, 253.0, 254.0]),
|
|
'b': lambda y: y.cols(1).rows(1).value([255.0]),
|
|
}),
|
|
'b': lambda x: x.cols(0).rows(0).arraySize(4).members({
|
|
0: lambda y: y.cols(4).rows(1).value([256.0, 257.0, 258.0, 259.0]),
|
|
1: lambda y: y.cols(4).rows(1).value([260.0, 261.0, 262.0, 263.0]),
|
|
2: lambda y: y.cols(4).rows(1).value([264.0, 265.0, 266.0, 267.0]),
|
|
3: lambda y: y.cols(4).rows(1).value([268.0, 269.0, 270.0, 271.0]),
|
|
}),
|
|
'c': lambda x: x.cols(0).rows(0).arraySize(4).members({
|
|
0: lambda y: y.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda z: z.cols(3).rows(1).value([272.0, 273.0, 274.0]),
|
|
'b': lambda z: z.cols(1).rows(1).value([275.0]),
|
|
}),
|
|
1: lambda y: y.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda z: z.cols(3).rows(1).value([276.0, 277.0, 278.0]),
|
|
'b': lambda z: z.cols(1).rows(1).value([279.0]),
|
|
}),
|
|
2: lambda y: y.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda z: z.cols(3).rows(1).value([280.0, 281.0, 282.0]),
|
|
'b': lambda z: z.cols(1).rows(1).value([283.0]),
|
|
}),
|
|
3: lambda y: y.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda z: z.cols(3).rows(1).value([284.0, 285.0, 286.0]),
|
|
'b': lambda z: z.cols(1).rows(1).value([287.0]),
|
|
}),
|
|
}),
|
|
}),
|
|
# structa[1]
|
|
1: lambda s: s.cols(0).rows(0).structSize(3).members({
|
|
'a': lambda x: x.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda y: y.cols(3).rows(1).value([288.0, 289.0, 290.0]),
|
|
'b': lambda y: y.cols(1).rows(1).value([291.0]),
|
|
}),
|
|
'b': lambda x: x.cols(0).rows(0).arraySize(4).members({
|
|
0: lambda y: y.cols(4).rows(1).value([292.0, 293.0, 294.0, 295.0]),
|
|
1: lambda y: y.cols(4).rows(1).value([296.0, 297.0, 298.0, 299.0]),
|
|
2: lambda y: y.cols(4).rows(1).value([300.0, 301.0, 302.0, 303.0]),
|
|
3: lambda y: y.cols(4).rows(1).value([304.0, 305.0, 306.0, 307.0]),
|
|
}),
|
|
'c': lambda x: x.cols(0).rows(0).arraySize(4).members({
|
|
0: lambda y: y.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda z: z.cols(3).rows(1).value([308.0, 309.0, 310.0]),
|
|
'b': lambda z: z.cols(1).rows(1).value([311.0]),
|
|
}),
|
|
1: lambda y: y.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda z: z.cols(3).rows(1).value([312.0, 313.0, 314.0]),
|
|
'b': lambda z: z.cols(1).rows(1).value([315.0]),
|
|
}),
|
|
2: lambda y: y.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda z: z.cols(3).rows(1).value([316.0, 317.0, 318.0]),
|
|
'b': lambda z: z.cols(1).rows(1).value([319.0]),
|
|
}),
|
|
3: lambda y: y.cols(0).rows(0).structSize(2).members({
|
|
'a': lambda z: z.cols(3).rows(1).value([320.0, 321.0, 322.0]),
|
|
'b': lambda z: z.cols(1).rows(1).value([323.0]),
|
|
}),
|
|
}),
|
|
}),
|
|
})
|
|
|
|
# column_major mat2x3 ac;
|
|
var_check.check('ac').cols(2).rows(3).column_major().value([324.0, 328.0,
|
|
325.0, 329.0,
|
|
326.0, 330.0])
|
|
|
|
# row_major mat2x3 ad;
|
|
var_check.check('ad').cols(2).rows(3).row_major().value([332.0, 333.0,
|
|
336.0, 337.0,
|
|
340.0, 341.0])
|
|
|
|
# column_major mat2x3 ae[2];
|
|
var_check.check('ae').cols(0).rows(0).arraySize(2).members({
|
|
0: lambda x: x.cols(2).rows(3).column_major().value([344.0, 348.0,
|
|
345.0, 349.0,
|
|
346.0, 350.0]),
|
|
1: lambda x: x.cols(2).rows(3).column_major().value([352.0, 356.0,
|
|
353.0, 357.0,
|
|
354.0, 358.0]),
|
|
})
|
|
|
|
# row_major mat2x3 af[2];
|
|
var_check.check('af').cols(0).rows(0).arraySize(2).members({
|
|
0: lambda x: x.cols(2).rows(3).row_major().value([360.0, 361.0,
|
|
364.0, 365.0,
|
|
368.0, 369.0]),
|
|
1: lambda x: x.cols(2).rows(3).row_major().value([372.0, 373.0,
|
|
376.0, 377.0,
|
|
380.0, 381.0]),
|
|
})
|
|
|
|
# vec2 dummy10;
|
|
var_check.check('dummy10')
|
|
|
|
# row_major mat2x2 ag;
|
|
var_check.check('ag').cols(2).rows(2).row_major().value([388.0, 389.0,
|
|
392.0, 393.0])
|
|
|
|
# vec2 dummy12;
|
|
var_check.check('dummy11')
|
|
|
|
# column_major float2x2 ah;
|
|
var_check.check('ah').cols(2).rows(2).column_major().value([400.0, 404.0,
|
|
401.0, 405.0])
|
|
|
|
# row_major mat2x2 ai[2];
|
|
var_check.check('ai').rows(0).cols(0).arraySize(2).members({
|
|
0: lambda x: x.cols(2).rows(2).row_major().value([408.0, 409.0,
|
|
412.0, 413.0]),
|
|
1: lambda x: x.cols(2).rows(2).row_major().value([416.0, 417.0,
|
|
420.0, 421.0]),
|
|
})
|
|
|
|
# column_major mat2x2 aj[2];
|
|
var_check.check('aj').rows(0).cols(0).arraySize(2).members({
|
|
0: lambda x: x.cols(2).rows(2).column_major().value([424.0, 428.0,
|
|
425.0, 429.0]),
|
|
1: lambda x: x.cols(2).rows(2).column_major().value([432.0, 436.0,
|
|
433.0, 437.0]),
|
|
})
|
|
|
|
# struct nested_with_padding
|
|
# {
|
|
# float a; // vec3 padding
|
|
# vec4 b;
|
|
# float c; // vec3 padding
|
|
# vec3 d[4]; // float padding after each one
|
|
# };
|
|
# nested_with_padding ak[2];
|
|
var_check.check('ak').rows(0).cols(0).arraySize(2).members({
|
|
# ak[0]
|
|
0: lambda s: s.rows(0).cols(0).structSize(4).members({
|
|
'a': lambda y: y.rows(1).cols(1).value([440.0]),
|
|
'b': lambda y: y.rows(1).cols(4).value([444.0, 445.0, 446.0, 447.0]),
|
|
'c': lambda y: y.rows(1).cols(1).value([448.0]),
|
|
'd': lambda x: x.rows(0).cols(0).arraySize(4).members({
|
|
0: lambda z: z.rows(1).cols(3).value([452.0, 453.0, 454.0]),
|
|
1: lambda z: z.rows(1).cols(3).value([456.0, 457.0, 458.0]),
|
|
2: lambda z: z.rows(1).cols(3).value([460.0, 461.0, 462.0]),
|
|
3: lambda z: z.rows(1).cols(3).value([464.0, 465.0, 466.0]),
|
|
}),
|
|
}),
|
|
# ak[1]
|
|
1: lambda s: s.rows(0).cols(0).structSize(4).members({
|
|
'a': lambda y: y.rows(1).cols(1).value([468.0]),
|
|
'b': lambda y: y.rows(1).cols(4).value([472.0, 473.0, 474.0, 475.0]),
|
|
'c': lambda y: y.rows(1).cols(1).value([476.0]),
|
|
'd': lambda x: x.rows(0).cols(0).arraySize(4).members({
|
|
0: lambda z: z.rows(1).cols(3).value([480.0, 481.0, 482.0]),
|
|
1: lambda z: z.rows(1).cols(3).value([484.0, 485.0, 486.0]),
|
|
2: lambda z: z.rows(1).cols(3).value([488.0, 489.0, 490.0]),
|
|
3: lambda z: z.rows(1).cols(3).value([492.0, 493.0, 494.0]),
|
|
}),
|
|
}),
|
|
})
|
|
|
|
# float2 dummy12;
|
|
var_check.check('dummy12')
|
|
|
|
# float al;
|
|
var_check.check('al').rows(1).cols(1).value([500.0])
|
|
|
|
# struct float2_struct
|
|
# {
|
|
# float x, y;
|
|
# };
|
|
# float2_struct am;
|
|
var_check.check('am').rows(0).cols(0).members({
|
|
'x': lambda y: y.rows(1).cols(1).value([504.0]),
|
|
'y': lambda y: y.rows(1).cols(1).value([505.0]),
|
|
})
|
|
|
|
# float an;
|
|
var_check.check('an').rows(1).cols(1).value([508.0])
|
|
|
|
# float4 dummy13[2];
|
|
var_check.check('dummy13')
|
|
|
|
# misaligned_struct ao[2];
|
|
var_check.check('ao').rows(0).cols(0).arraySize(2).members({
|
|
# ao[0]
|
|
0: lambda s: s.rows(0).cols(0).structSize(2).members({
|
|
'a': lambda y: y.rows(1).cols(4).value([520.0, 521.0, 522.0, 523.0]),
|
|
'b': lambda y: y.rows(1).cols(2).value([524.0, 525.0]),
|
|
}),
|
|
1: lambda s: s.rows(0).cols(0).structSize(2).members({
|
|
'a': lambda y: y.rows(1).cols(4).value([528.0, 529.0, 530.0, 531.0]),
|
|
'b': lambda y: y.rows(1).cols(2).value([532.0, 533.0]),
|
|
}),
|
|
})
|
|
|
|
# float4 test;
|
|
var_check.check('test').rows(1).cols(4).value([536.0, 537.0, 538.0, 539.0])
|
|
|
|
# to save duplicating if this array changes, we calculate out from the start, as the array is tightly packed
|
|
base = 540.0
|
|
|
|
exp_vals = lambda wi,yi,xi: [base + wi * 24.0 + yi * 8.0 + xi * 4.0 + c * 1.0 for c in range(0,4)]
|
|
|
|
# vec4 multiarray2[4][3][2];
|
|
var_check.check('multiarray2').cols(0).rows(0).arraySize(4).members({
|
|
0: lambda w: w.cols(0).rows(0).arraySize(3).members({
|
|
0: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(0, 0, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(0, 0, 1)),
|
|
}),
|
|
1: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(0, 1, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(0, 1, 1)),
|
|
}),
|
|
2: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(0, 2, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(0, 2, 1)),
|
|
}),
|
|
}),
|
|
1: lambda w: w.cols(0).rows(0).arraySize(3).members({
|
|
0: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(1, 0, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(1, 0, 1)),
|
|
}),
|
|
1: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(1, 1, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(1, 1, 1)),
|
|
}),
|
|
2: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(1, 2, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(1, 2, 1)),
|
|
}),
|
|
}),
|
|
2: lambda w: w.cols(0).rows(0).arraySize(3).members({
|
|
0: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(2, 0, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(2, 0, 1)),
|
|
}),
|
|
1: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(2, 1, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(2, 1, 1)),
|
|
}),
|
|
2: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(2, 2, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(2, 2, 1)),
|
|
}),
|
|
}),
|
|
3: lambda w: w.cols(0).rows(0).arraySize(3).members({
|
|
0: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(3, 0, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(3, 0, 1)),
|
|
}),
|
|
1: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(3, 1, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(3, 1, 1)),
|
|
}),
|
|
2: lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda y: y.cols(4).rows(1).value(exp_vals(3, 2, 0)),
|
|
1: lambda y: y.cols(4).rows(1).value(exp_vals(3, 2, 1)),
|
|
}),
|
|
}),
|
|
})
|
|
|
|
var_check.done()
|
|
|
|
rdtest.log.success("CBuffer variables are as expected")
|
|
|
|
self.check_pixel_value(pipe.GetOutputTargets()[0].resource, 0.5, 0.5, [537.1, 538.0, 539.0, 540.0])
|
|
|
|
rdtest.log.success("Picked value is as expected")
|
|
|
|
# identify the bare uniforms cbuffer
|
|
cbufIdx = [index for index, c in enumerate(refl.constantBlocks) if not c.bufferBacked][0]
|
|
|
|
cbuf = pipe.GetConstantBlock(stage, 1, 0).descriptor
|
|
|
|
var_check = rdtest.ConstantBufferChecker(
|
|
self.controller.GetCBufferVariableContents(pipe.GetGraphicsPipelineObject(),
|
|
pipe.GetShader(stage), stage,
|
|
pipe.GetShaderEntryPoint(stage), cbufIdx,
|
|
cbuf.resource, cbuf.byteOffset, cbuf.byteSize))
|
|
|
|
# For bare uniforms we have partial data - only values used in the shader need to get assigned locations and
|
|
# some drivers are aggressive about stripping any others. Only uniforms with locations get upload values.
|
|
# Hence some of these checks don't check for the value - that means they might not be present
|
|
|
|
# vec4 A;
|
|
var_check.check('A').cols(4).rows(1).value([10.0, 20.0, 30.0, 40.0])
|
|
|
|
# vec2 B;
|
|
var_check.check('B').cols(2).rows(1).value([50.0, 60.0])
|
|
|
|
# vec3 C;
|
|
var_check.check('C').cols(3).rows(1).value([70.0, 80.0, 90.0])
|
|
|
|
# mat2x3 D;
|
|
var_check.check('D').cols(2).rows(3).value([100.0, 130.0,
|
|
110.0, 140.0,
|
|
120.0, 150.0])
|
|
|
|
# float E[3];
|
|
var_check.check('E').cols(0).rows(0).arraySize(3).members({
|
|
0: lambda x: x.cols(1).rows(1).value([160.0]),
|
|
1: lambda x: x.cols(1).rows(1).value([170.0]),
|
|
2: lambda x: x.cols(1).rows(1).value([180.0]),
|
|
})
|
|
|
|
# vec4 F[3][2][2];
|
|
# Multidimensional arrays are represented as structs with N members
|
|
# Due to lacking reflection, we skip structSize() checks, but check everything else if it's present (if it's
|
|
# not, it will be skipped)
|
|
var_check.check('F').cols(0).rows(0).members({
|
|
'[0]': lambda x: x.cols(0).rows(0).members({
|
|
'[0]': lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda x: x.cols(4).rows(1).value([190.0, 200.0, 210.0, 220.0]),
|
|
1: lambda x: x.cols(4).rows(1).value([230.0, 240.0, 250.0, 260.0]),
|
|
}),
|
|
'[1]': lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda x: x.cols(4).rows(1).value([270.0, 280.0, 290.0, 300.0]),
|
|
1: lambda x: x.cols(4).rows(1).value([310.0, 320.0, 330.0, 340.0]),
|
|
}),
|
|
}),
|
|
'[1]': lambda x: x.cols(0).rows(0).members({
|
|
'[0]': lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda x: x.cols(4).rows(1).value([350.0, 360.0, 370.0, 380.0]),
|
|
1: lambda x: x.cols(4).rows(1).value([390.0, 400.0, 410.0, 420.0]),
|
|
}),
|
|
'[1]': lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda x: x.cols(4).rows(1).value([430.0, 440.0, 450.0, 460.0]),
|
|
1: lambda x: x.cols(4).rows(1).value([470.0, 480.0, 490.0, 500.0]),
|
|
}),
|
|
}),
|
|
'[2]': lambda x: x.cols(0).rows(0).members({
|
|
'[0]': lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda x: x.cols(4).rows(1).value([510.0, 520.0, 530.0, 540.0]),
|
|
1: lambda x: x.cols(4).rows(1).value([550.0, 560.0, 570.0, 580.0]),
|
|
}),
|
|
'[1]': lambda x: x.cols(0).rows(0).arraySize(2).members({
|
|
0: lambda x: x.cols(4).rows(1).value([590.0, 600.0, 610.0, 620.0]),
|
|
1: lambda x: x.cols(4).rows(1).value([630.0, 640.0, 650.0, 660.0]),
|
|
}),
|
|
}),
|
|
})
|
|
|
|
# struct vec3_1 { vec3 a; float b; };
|
|
# struct nested { vec3_1 a; vec4 b[4]; vec3_1 c[4]; };
|
|
# nested G[2];
|
|
# Due to lacking reflection, we don't know that G[x].a.a exists, as we only reference G[n].a.b
|
|
# Similarly we don't know that G[x].c[y].b exists
|
|
var_check.check('G').cols(0).rows(0).arraySize(2).members({
|
|
# G[0]
|
|
0: lambda s: s.cols(0).rows(0).structSize(3).members({
|
|
'a': lambda x: x.cols(0).rows(0).members({
|
|
'a': lambda y: y.cols(3).rows(1).value([680.0, 690.0, 700.0]),
|
|
'b': lambda y: y.cols(1).rows(1).value([710.0]),
|
|
}),
|
|
'b': lambda x: x.cols(0).rows(0).arraySize(4).members({
|
|
0: lambda y: y.cols(4).rows(1),
|
|
1: lambda y: y.cols(4).rows(1),
|
|
2: lambda y: y.cols(4).rows(1),
|
|
3: lambda y: y.cols(4).rows(1),
|
|
}),
|
|
'c': lambda x: x.cols(0).rows(0).arraySize(4).members({
|
|
0: lambda y: y.cols(0).rows(0).members({
|
|
'a': lambda z: z.cols(3).rows(1),
|
|
'b': lambda z: z.cols(1).rows(1),
|
|
}),
|
|
1: lambda y: y.cols(0).rows(0).members({
|
|
'a': lambda z: z.cols(3).rows(1),
|
|
'b': lambda z: z.cols(1).rows(1),
|
|
}),
|
|
2: lambda y: y.cols(0).rows(0).members({
|
|
'a': lambda z: z.cols(3).rows(1),
|
|
'b': lambda z: z.cols(1).rows(1),
|
|
}),
|
|
3: lambda y: y.cols(0).rows(0).members({
|
|
'a': lambda z: z.cols(3).rows(1),
|
|
'b': lambda z: z.cols(1).rows(1),
|
|
}),
|
|
}),
|
|
}),
|
|
# G[1]
|
|
1: lambda s: s.cols(0).rows(0).structSize(3).members({
|
|
'a': lambda x: x.cols(0).rows(0).members({
|
|
'a': lambda y: y.cols(3).rows(1).value([1040.0, 1050.0, 1060.0]),
|
|
'b': lambda y: y.cols(1).rows(1).value([1070.0]),
|
|
}),
|
|
'b': lambda x: x.cols(0).rows(0).arraySize(4).members({
|
|
0: lambda y: y.cols(4).rows(1).value([1080.0, 1090.0, 1100.0, 1110.0]),
|
|
1: lambda y: y.cols(4).rows(1).value([1120.0, 1130.0, 1140.0, 1150.0]),
|
|
2: lambda y: y.cols(4).rows(1).value([1160.0, 1170.0, 1180.0, 1190.0]),
|
|
3: lambda y: y.cols(4).rows(1).value([1200.0, 1210.0, 1220.0, 1230.0]),
|
|
}),
|
|
'c': lambda x: x.cols(0).rows(0).arraySize(4).members({
|
|
0: lambda y: y.cols(0).rows(0).members({
|
|
'a': lambda z: z.cols(3).rows(1),
|
|
'b': lambda z: z.cols(1).rows(1),
|
|
}),
|
|
1: lambda y: y.cols(0).rows(0).members({
|
|
'a': lambda z: z.cols(3).rows(1),
|
|
'b': lambda z: z.cols(1).rows(1),
|
|
}),
|
|
2: lambda y: y.cols(0).rows(0).members({
|
|
'a': lambda z: z.cols(3).rows(1),
|
|
'b': lambda z: z.cols(1).rows(1),
|
|
}),
|
|
3: lambda y: y.cols(0).rows(0).members({
|
|
'a': lambda z: z.cols(3).rows(1).value([1360.0, 1370.0, 1380.0]),
|
|
'b': lambda z: z.cols(1).rows(1),
|
|
}),
|
|
}),
|
|
}),
|
|
})
|
|
|
|
var_check.check('H').cols(1).rows(1).value([14000])
|
|
var_check.check('I').cols(2).rows(1).value([15000, 16000])
|
|
var_check.check('J').cols(3).rows(1).value([17000, 18000, 19000])
|
|
var_check.check('K').cols(4).rows(1).value([20000, 21000, 22000, 23000])
|
|
var_check.check('L').cols(4).rows(1).value([-24000, -25000, -26000, -27000])
|
|
# float2_struct M[1];
|
|
var_check.check('M').cols(0).rows(0).arraySize(2).members({
|
|
0: lambda x: x.cols(1).rows(1).value([28001.0]),
|
|
1: lambda x: x.cols(1).rows(1).value([-28000.0]),
|
|
})
|
|
|
|
var_check.done()
|
|
|
|
rdtest.log.success("Bare uniform variables are as expected")
|