[Piglit] [PATCH] Add comprehensive tests of builtin functions with uniform input.
Vinson Lee
vlee at vmware.com
Fri Jul 22 15:19:06 PDT 2011
The hard requirement of python-2.7 and numpy will make piglit not buildable on many default environments, including Ubuntu 10.10 and Snow Leopard. I prefer a soft requirement where piglit warns and doesn't generate these new tests if the requirements aren't met.
________________________________________
From: piglit-bounces+vlee=vmware.com at lists.freedesktop.org [piglit-bounces+vlee=vmware.com at lists.freedesktop.org] On Behalf Of Paul Berry [stereotype441 at gmail.com]
Sent: Friday, July 22, 2011 2:00 PM
To: piglit at lists.freedesktop.org
Subject: [Piglit] [PATCH] Add comprehensive tests of builtin functions with uniform input.
The following patch adds 462 tests to piglit, which comprehensively
test the behavior of GLSL built-in functions on vertex and fragment
shaders. The test vectors are auto-generated in Python, by using the
numpy library to simulate the behavior of the built-in functions on a
variety of inputs (in builtin_function.py), and then producing
shader_runner tests to verify the expected behavior (in
gen_builtin_uniform_tests.py).
Test generation happens as part of the piglit build process. To run
the test generation step by itself, use "make gen-tests" from the root
of the piglit tree (after configuring using cmake). The generated
tests may be found in generated_tests/spec.
The auto-generation code depends on Python 2.7 and on the numpy
library. I've updated the README to reflect these dependencies, and
added code to CMakeLists.txt to check for them at configure time.
---
CMakeLists.txt | 22 +
README | 3 +-
generated_tests/.gitignore | 1 +
generated_tests/CMakeLists.txt | 24 +
generated_tests/builtin_function.py | 658 ++++++++++++++++++++++++++
generated_tests/gen_builtin_uniform_tests.py | 330 +++++++++++++
tests/all.tests | 15 +
7 files changed, 1052 insertions(+), 1 deletions(-)
create mode 100644 generated_tests/.gitignore
create mode 100644 generated_tests/CMakeLists.txt
create mode 100644 generated_tests/builtin_function.py
create mode 100644 generated_tests/gen_builtin_uniform_tests.py
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 1015165..559c9db 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -13,6 +13,27 @@ find_package(GLUT REQUIRED)
find_package(PNG REQUIRED)
find_package(X11)
+# Check for presence of Python 2.7 or greater.
+execute_process(
+ COMMAND python -c "import sys; assert sys.version >= '2.7'"
+ OUTPUT_QUIET
+ ERROR_QUIET
+ RESULT_VARIABLE python_version_check_error_code)
+if(NOT(python_version_check_error_code EQUAL 0))
+ message(FATAL_ERROR "python version 2.7 or greater required")
+endif(NOT(python_version_check_error_code EQUAL 0))
+
+# Check for the presence of numpy, which is needed to build generated
+# tests.
+execute_process(
+ COMMAND python -c "import numpy"
+ OUTPUT_QUIET
+ ERROR_QUIET
+ RESULT_VARIABLE import_numpy_error_code)
+if(NOT(import_numpy_error_code EQUAL 0))
+ message(FATAL_ERROR "numpy library not found")
+endif(NOT(import_numpy_error_code EQUAL 0))
+
if (NOT MSVC)
CHECK_C_COMPILER_FLAG("-Wall" C_COMPILER_FLAG_WALL)
IF (C_COMPILER_FLAG_WALL)
@@ -81,3 +102,4 @@ configure_file(
include_directories(src)
add_subdirectory(cmake/target_api)
+add_subdirectory(generated_tests)
diff --git a/README b/README
index bf5c157..54c8327 100644
--- a/README
+++ b/README
@@ -28,7 +28,8 @@ The original tests have been taken from
First of all, you need to make sure that the following are installed:
- - Python 2.4 or greater
+ - Python 2.7 or greater
+ - numpy (http://www.numpy.org)
- cmake (http://www.cmake.org)
- GL, glu and glut libraries and development packages (i.e. headers)
- X11 libraries and development packages (i.e. headers)
diff --git a/generated_tests/.gitignore b/generated_tests/.gitignore
new file mode 100644
index 0000000..79c6997
--- /dev/null
+++ b/generated_tests/.gitignore
@@ -0,0 +1 @@
+spec
diff --git a/generated_tests/CMakeLists.txt b/generated_tests/CMakeLists.txt
new file mode 100644
index 0000000..6284a49
--- /dev/null
+++ b/generated_tests/CMakeLists.txt
@@ -0,0 +1,24 @@
+# Execute gen_builtin_uniform_tests.py once during configure to find
+# out what files it generates.
+set(gen_builtin_uniform
+ ${CMAKE_CURRENT_SOURCE_DIR}/gen_builtin_uniform_tests.py)
+execute_process(
+ COMMAND python ${gen_builtin_uniform} --names-only
+ OUTPUT_VARIABLE builtin_uniform_tests
+ RESULT_VARIABLE builtin_uniform_tests_result)
+if(NOT(builtin_uniform_tests_result EQUAL 0))
+ message(FATAL_ERROR "gen_builtin_uniform_tests.py failed")
+endif(NOT(builtin_uniform_tests_result EQUAL 0))
+string(REPLACE "\n" ";" builtin_uniform_tests ${builtin_uniform_tests})
+
+# Add a custom command which executes gen_builtin_uniform_tests.py
+# during the build.
+add_custom_command(OUTPUT ${builtin_uniform_tests}
+ COMMAND python ${gen_builtin_uniform}
+ DEPENDS gen_builtin_uniform_tests.py
+ VERBATIM)
+
+# And add a "gen-tests" target that can be used to generate all the
+# tests without doing any other compilation.
+add_custom_target(gen-tests ALL
+ DEPENDS ${builtin_uniform_tests})
diff --git a/generated_tests/builtin_function.py b/generated_tests/builtin_function.py
new file mode 100644
index 0000000..6650e3f
--- /dev/null
+++ b/generated_tests/builtin_function.py
@@ -0,0 +1,658 @@
+# coding=utf-8
+#
+# Copyright © 2011 Intel Corporation
+#
+# Permission is hereby granted, free of charge, to any person obtaining a
+# copy of this software and associated documentation files (the "Software"),
+# to deal in the Software without restriction, including without limitation
+# the rights to use, copy, modify, merge, publish, distribute, sublicense,
+# and/or sell copies of the Software, and to permit persons to whom the
+# Software is furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice (including the next
+# paragraph) shall be included in all copies or substantial portions of the
+# Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
+# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+# DEALINGS IN THE SOFTWARE.
+
+# This source file defines a set of test vectors that can be used to
+# test GLSL's built-in functions. It is intended to be used by
+# Python code that generates Piglit tests.
+#
+# The key export is the dictionary test_suite. It contains an entry
+# for each possible overload of every pure built-in function. By
+# iterating through this dictionary you can find a set of test vectors
+# for testing nearly every built-in GLSL function. Notable exceptions
+# include the fragment shader functions dFdx(), dFdy(), and fwidth(),
+# the texture lookup functions, and the ftransform() function, since
+# they are not pure, so they can't be tested using simple test
+# vectors.
+
+import collections
+import itertools
+import numpy as np
+
+
+
+class GlslBuiltinType(object):
+ """Class representing a GLSL built-in type."""
+ def __init__(self, name, base_type, num_cols, num_rows,
+ version_introduced):
+ self.__name = name
+ if base_type is not None:
+ self.__base_type = base_type
+ else:
+ self.__base_type = self
+ self.__num_cols = num_cols
+ self.__num_rows = num_rows
+ self.__version_introduced = version_introduced
+
+ @property
+ def name(self):
+ """The name of the type, as a string."""
+ return self.__name
+
+ @property
+ def base_type(self):
+ """For vectors and matrices, the type of data stored in each
+ element. For scalars, equal to self.
+ """
+ return self.__base_type
+
+ @property
+ def num_cols(self):
+ """For matrices, the number of columns. For vectors and
+ scalars, 1.
+ """
+ return self.__num_cols
+
+ @property
+ def num_rows(self):
+ """For vectors and matrices, the number of rows. For scalars,
+ 1.
+ """
+ return self.__num_rows
+
+ @property
+ def is_scalar(self):
+ return self.__num_cols == 1 and self.__num_rows == 1
+
+ @property
+ def is_vector(self):
+ return self.__num_cols == 1 and self.__num_rows != 1
+
+ @property
+ def is_matrix(self):
+ return self.__num_cols != 1
+
+ @property
+ def version_introduced(self):
+ """The earliest version of GLSL that this type appears in (as
+ a string, e.g. '1.10').
+ """
+ return self.__version_introduced
+
+ def __str__(self):
+ return self.__name
+
+ def __repr__(self):
+ return 'glsl_{0}'.format(self.__name)
+
+
+
+# Concrete declarations of GlslBuiltinType
+glsl_bool = GlslBuiltinType('bool', None, 1, 1, '1.10')
+glsl_int = GlslBuiltinType('int', None, 1, 1, '1.10')
+glsl_float = GlslBuiltinType('float', None, 1, 1, '1.10')
+glsl_vec2 = GlslBuiltinType('vec2', glsl_float, 1, 2, '1.10')
+glsl_vec3 = GlslBuiltinType('vec3', glsl_float, 1, 3, '1.10')
+glsl_vec4 = GlslBuiltinType('vec4', glsl_float, 1, 4, '1.10')
+glsl_bvec2 = GlslBuiltinType('bvec2', glsl_bool, 1, 2, '1.10')
+glsl_bvec3 = GlslBuiltinType('bvec3', glsl_bool, 1, 3, '1.10')
+glsl_bvec4 = GlslBuiltinType('bvec4', glsl_bool, 1, 4, '1.10')
+glsl_ivec2 = GlslBuiltinType('ivec2', glsl_int, 1, 2, '1.10')
+glsl_ivec3 = GlslBuiltinType('ivec3', glsl_int, 1, 3, '1.10')
+glsl_ivec4 = GlslBuiltinType('ivec4', glsl_int, 1, 4, '1.10')
+glsl_mat2 = GlslBuiltinType('mat2', glsl_float, 2, 2, '1.10')
+glsl_mat3 = GlslBuiltinType('mat3', glsl_float, 3, 3, '1.10')
+glsl_mat4 = GlslBuiltinType('mat4', glsl_float, 4, 4, '1.10')
+glsl_mat2x2 = glsl_mat2
+glsl_mat3x2 = GlslBuiltinType('mat3x2', glsl_float, 3, 2, '1.20')
+glsl_mat4x2 = GlslBuiltinType('mat4x2', glsl_float, 4, 2, '1.20')
+glsl_mat2x3 = GlslBuiltinType('mat2x3', glsl_float, 2, 3, '1.20')
+glsl_mat3x3 = glsl_mat3
+glsl_mat4x3 = GlslBuiltinType('mat4x3', glsl_float, 4, 3, '1.20')
+glsl_mat2x4 = GlslBuiltinType('mat2x4', glsl_float, 2, 4, '1.20')
+glsl_mat3x4 = GlslBuiltinType('mat3x4', glsl_float, 3, 4, '1.20')
+glsl_mat4x4 = glsl_mat4
+
+
+
+# Named tuple representing the signature of a single overload of a
+# built-in GLSL function:
+# - name is the function name.
+# - version_introduced earliest version of GLSL the test applies to
+# (as a string, e.g. '1.10').
+# - rettype is the return type of the function (as a GlslBuiltinType).
+# - argtypes is a tuple containing the types of each function
+# parameter (as GlslBuiltinTypes).
+#
+# For example, the function
+#
+# vec3 step(float edge, vec3 x)
+#
+# has a signature of
+#
+# Signature(name='step', version_introduced='1.10', rettype='vec3',
+# argtypes=('float', 'vec3'))
+Signature = collections.namedtuple(
+ 'Signature', ('name', 'version_introduced', 'rettype', 'argtypes'))
+
+
+
+# Named tuple representing a single piece of test data for testing a
+# built-in GLSL function:
+# - arguments is a tuple containing the arguments to apply to the
+# function. Each argument is of a type native to numpy (e.g.
+# numpy.float64 or numpy.ndarray)
+# - result is the value the function is expected to return. It is
+# also of a type native to numpy.
+TestVector = collections.namedtuple('TestVector', ('arguments', 'result'))
+
+
+
+def glsl_type_of(value):
+ """Return the GLSL type corresponding to the given native numpy
+ value, as a GlslBuiltinType.
+ """
+ if isinstance(value, float):
+ return glsl_float
+ elif isinstance(value, (bool, np.bool_)):
+ return glsl_bool
+ elif isinstance(value, (int, long)):
+ return glsl_int
+ else:
+ assert isinstance(value, np.ndarray)
+ if len(value.shape) == 1:
+ # Vector
+ vector_length = value.shape[0]
+ assert 2 <= vector_length <= 4
+ if value.dtype == float:
+ return (glsl_vec2, glsl_vec3, glsl_vec4)[vector_length - 2]
+ elif value.dtype == bool:
+ return (glsl_bvec2, glsl_bvec3, glsl_bvec4)[vector_length - 2]
+ elif value.dtype == int:
+ return (glsl_ivec2, glsl_ivec3, glsl_ivec4)[vector_length - 2]
+ else:
+ raise Exception(
+ 'Unexpected vector base type {0}'.format(value.dtype))
+ else:
+ # Matrix
+ assert value.dtype == float
+ assert len(value.shape) == 2
+ matrix_rows = value.shape[0]
+ assert 2 <= matrix_rows <= 4
+ matrix_columns = value.shape[1]
+ assert 2 <= matrix_columns <= 4
+ matrix_types = ((glsl_mat2x2, glsl_mat2x3, glsl_mat2x4),
+ (glsl_mat3x2, glsl_mat3x3, glsl_mat3x4),
+ (glsl_mat4x2, glsl_mat4x3, glsl_mat4x4))
+ return matrix_types[matrix_columns - 2][matrix_rows - 2]
+
+
+
+def column_major_values(value):
+ """Given a native numpy value, return a list of the scalar values
+ comprising it, in column-major order."""
+ return np.reshape(np.array(value), -1, 'F').tolist()
+
+
+
+def glsl_constant(value):
+ """Given a native numpy value, return GLSL code that constructs
+ it."""
+ column_major = np.reshape(np.array(value), -1, 'F')
+ if column_major.dtype == bool:
+ values = ['true' if x else 'false' for x in column_major]
+ else:
+ values = [str(x) for x in column_major]
+ if len(column_major) == 1:
+ return values[0]
+ else:
+ return '{0}({1})'.format(glsl_type_of(value), ', '.join(values))
+
+
+
+# Dictionary containing the test vectors. Each entry in the
+# dictionary represents a single overload of a single built-in
+# function. Its key is a Signature tuple, and its value is a list of
+# TestVector tuples.
+#
+# Note: the dictionary is initialized to {} here, but it is filled
+# with test vectors by code later in this file.
+test_suite = {}
+
+
+
+# Implementation
+# ==============
+#
+# The functions below shouldn't be necessary to call from outside this
+# file. They exist solely to populate test_suite with test vectors.
+
+# Functions that simulate GLSL built-in functions (in the cases where
+# the GLSL built-in functions have no python or numpy equivalent, or
+# in cases where there is a behavioral difference). These functions
+# return None if the behavior of the GLSL built-in is undefined for
+# the given set of inputs.
+def _arctan2(y, x):
+ if x == y == 0.0:
+ return None
+ return np.arctan2(y, x)
+def _pow(x, y):
+ if x < 0.0:
+ return None
+ if x == 0.0 and y <= 0.0:
+ return None
+ return np.power(x, y)
+def _clamp(x, minVal, maxVal):
+ if minVal > maxVal:
+ return None
+ return min(max(x, minVal), maxVal)
+def _smoothstep(edge0, edge1, x):
+ if edge0 >= edge1:
+ return None
+ t = _clamp((x-edge0)/(edge1-edge0),0.0,1.0)
+ return t*t*(3.0-2.0*t)
+def _normalize(x):
+ return x/np.linalg.norm(x)
+def _faceforward(N, I, Nref):
+ if np.dot(Nref, I) < 0.0:
+ return N
+ else:
+ return -N
+def _reflect(I, N):
+ return I-2*np.dot(N,I)*N
+def _refract(I, N, eta):
+ k = 1.0-eta*eta*(1.0-np.dot(N,I)*np.dot(N,I))
+ if k < 0.0:
+ return I*0.0
+ else:
+ return eta*I-(eta*np.dot(N,I)+np.sqrt(k))*N
+
+
+
+def _argument_types_match(arguments, argument_indices_to_match):
+ """Return True if all of the arguments indexed by
+ argument_indices_to_match have the same GLSL type.
+ """
+ types = [glsl_type_of(arguments[i]) for i in argument_indices_to_match]
+ return all(x == types[0] for x in types)
+
+
+
+def _simulate_function(test_inputs, python_equivalent):
+ """Construct test vectors by simulating a GLSL function on a list
+ of possible inputs.
+
+ test_inputs is a list of possible input sequences, each of which
+ represents a set of arguments that should be applied to the
+ function.
+
+ python_equivalent is the function to simulate--it should return
+ None if the GLSL function returns undefined results for the given
+ set of inputs, otherwise it should return the expected result.
+ Input sequences for which python_equivalent returns None are
+ ignored."""
+ test_vectors = []
+ for inputs in test_inputs:
+ expected_output = python_equivalent(*inputs)
+ if expected_output is not None:
+ test_vectors.append(TestVector(inputs, expected_output))
+ return test_vectors
+
+
+
+def _vectorize_test_vectors(test_vectors, scalar_arg_indices, vector_length):
+ """Build a new set of test vectors by combining elements of
+ test_vectors into vectors of length vector_length. For example,
+ vectorizing the test vectors
+
+ [TestVector((10, 20), 30), TestVector((11, 20), 31)]
+
+ into vectors of length 2 would produce the result:
+
+ [TestVector((vec2(10, 11), vec2(20, 20)), vec2(30, 31))].
+
+ scalar_arg_indices is a sequence of argument indices which should
+ not be vectorized. So, if scalar_arg_indices is [1] in the above
+ example, the result would be:
+
+ [TestVector((vec2(10, 11), 20), vec2(30, 31))].
+ """
+ def make_groups(test_vectors):
+ """Group test vectors according to the values passed to the
+ arguments that should not be vectorized.
+ """
+ groups = {}
+ for tv in test_vectors:
+ key = tuple(tv.arguments[i] for i in scalar_arg_indices)
+ if key not in groups:
+ groups[key] = []
+ groups[key].append(tv)
+ return groups
+ def partition_vectors(test_vectors, partition_size):
+ """Partition test_vectors into lists of length partition_size.
+ If partition_size does not evenly divide the number of test
+ vectors, wrap around as necessary to ensure that every input
+ test vector is included.
+ """
+ for i in xrange(0, len(test_vectors), partition_size):
+ partition = []
+ for j in xrange(partition_size):
+ partition.append(test_vectors[(i + j) % len(test_vectors)])
+ yield partition
+ def merge_vectors(test_vectors):
+ """Merge the given set of test vectors (whose arguments and
+ result are scalars) into a single test vector whose arguments
+ and result are vectors. For argument indices in
+ scalar_arg_indices, leave the argument as a scalar.
+ """
+ arity = len(test_vectors[0].arguments)
+ arguments = []
+ for j in xrange(arity):
+ if j in scalar_arg_indices:
+ arguments.append(test_vectors[0].arguments[j])
+ else:
+ arguments.append(
+ np.array([tv.arguments[j] for tv in test_vectors]))
+ result = np.array([tv.result for tv in test_vectors])
+ return TestVector(arguments, result)
+ vectorized_test_vectors = []
+ groups = make_groups(test_vectors)
+ for key in sorted(groups.keys()):
+ test_vectors = groups[key]
+ vectorized_test_vectors.extend(
+ merge_vectors(partition)
+ for partition in partition_vectors(test_vectors, vector_length))
+ return vectorized_test_vectors
+
+
+
+def _store_test_vector(test_suite_dict, name, glsl_version, test_vector):
+ """Store a test vector in the appropriate place in
+ test_suite_dict. The dictionary key (which is a Signature tuple)
+ is generated by consulting the argument and return types of the
+ test vector, and combining them with name and glsl_version.
+
+ glsl_version is adjusted if necessary to reflect when the argument
+ and return types were introduced into GLSL.
+ """
+ rettype = glsl_type_of(test_vector.result)
+ argtypes = tuple(glsl_type_of(arg) for arg in test_vector.arguments)
+ adjusted_glsl_version = max(
+ glsl_version, rettype.version_introduced,
+ *[t.version_introduced for t in argtypes])
+ signature = Signature(name, adjusted_glsl_version, rettype, argtypes)
+ if signature not in test_suite_dict:
+ test_suite_dict[signature] = []
+ test_suite_dict[signature].append(test_vector)
+
+
+
+def _store_test_vectors(test_suite_dict, name, glsl_version, test_vectors):
+ """Store multiple test vectors in the appropriate places in
+ test_suite_dict.
+ """
+ for test_vector in test_vectors:
+ _store_test_vector(test_suite_dict, name, glsl_version, test_vector)
+
+
+
+def _make_componentwise_test_vectors(test_suite_dict):
+ """Add test vectors to test_suite_dict for GLSL built-in
+ functions that operate on vectors in componentwise fashion.
+ Examples include sin(), cos(), min(), max(), and clamp().
+ """
+ def f(name, arity, glsl_version, python_equivalent,
+ alternate_scalar_arg_indices, test_inputs):
+ """Create test vectors for the function with the given name
+ and arity, which was introduced in the given glsl_version.
+
+ python_equivalent is a Python function which operates on scalars,
+ and simulates the GLSL function. This function should return None
+ in any case where the output of the GLSL function is undefined.
+
+ If alternate_scalar_arg_indices is not None, also create test
+ vectors for an alternate vectorized version of the function,
+ in which some arguments are scalars.
+ alternate_scalar_arg_indices is a sequence of the indices of
+ the arguments which are scalars.
+
+ test_inputs is a list, the ith element of which is a list of
+ values that are suitable for use as the ith argument of the
+ function.
+ """
+ scalar_test_vectors = _simulate_function(
+ itertools.product(*test_inputs), python_equivalent)
+ _store_test_vectors(
+ test_suite_dict, name, glsl_version, scalar_test_vectors)
+ if alternate_scalar_arg_indices is None:
+ scalar_arg_indices_list = [()]
+ else:
+ scalar_arg_indices_list = [(), alternate_scalar_arg_indices]
+ for scalar_arg_indices in scalar_arg_indices_list:
+ for vector_length in (2, 3, 4):
+ _store_test_vectors(
+ test_suite_dict, name, glsl_version,
+ _vectorize_test_vectors(
+ scalar_test_vectors, scalar_arg_indices,
+ vector_length))
+ f('radians', 1, '1.10', np.radians, None, [np.linspace(-180.0, 180.0, 4)])
+ f('degrees', 1, '1.10', np.degrees, None, [np.linspace(-np.pi, np.pi, 4)])
+ f('sin', 1, '1.10', np.sin, None, [np.linspace(-np.pi, np.pi, 4)])
+ f('cos', 1, '1.10', np.cos, None, [np.linspace(-np.pi, np.pi, 4)])
+ f('tan', 1, '1.10', np.tan, None, [np.linspace(-np.pi, np.pi, 4)])
+ f('asin', 1, '1.10', np.arcsin, None, [np.linspace(-1.0, 1.0, 4)])
+ f('acos', 1, '1.10', np.arccos, None, [np.linspace(-1.0, 1.0, 4)])
+ f('atan', 1, '1.10', np.arctan, None, [np.linspace(-2.0, 2.0, 4)])
+ f('atan', 2, '1.10', _arctan2, None, [np.linspace(-2.0, 2.0, 3), np.linspace(-2.0, 2.0, 3)])
+ f('pow', 2, '1.10', _pow, None, [np.linspace(0.0, 2.0, 4), np.linspace(-2.0, 2.0, 4)])
+ f('exp', 1, '1.10', np.exp, None, [np.linspace(-2.0, 2.0, 4)])
+ f('log', 1, '1.10', np.log, None, [np.linspace(0.01, 2.0, 4)])
+ f('exp2', 1, '1.10', np.exp2, None, [np.linspace(-2.0, 2.0, 4)])
+ f('log2', 1, '1.10', np.log2, None, [np.linspace(0.01, 2.0, 4)])
+ f('sqrt', 1, '1.10', np.sqrt, None, [np.linspace(0.0, 2.0, 4)])
+ f('inversesqrt', 1, '1.10', lambda x: 1.0/np.sqrt(x), None, [np.linspace(0.1, 2.0, 4)])
+ f('abs', 1, '1.10', np.abs, None, [np.linspace(-1.5, 1.5, 5)])
+ f('sign', 1, '1.10', np.sign, None, [np.linspace(-1.5, 1.5, 5)])
+ f('floor', 1, '1.10', np.floor, None, [np.linspace(-2.0, 2.0, 4)])
+ f('ceil', 1, '1.10', np.ceil, None, [np.linspace(-2.0, 2.0, 4)])
+ f('fract', 1, '1.10', lambda x: x-np.floor(x), None, [np.linspace(-2.0, 2.0, 4)])
+ f('mod', 2, '1.10', lambda x, y: x-y*np.floor(x/y), [1], [np.linspace(-1.9, 1.9, 4), np.linspace(-2.0, 2.0, 4)])
+ f('min', 2, '1.10', min, [1], [np.linspace(-2.0, 2.0, 4), np.linspace(-2.0, 2.0, 4)])
+ f('max', 2, '1.10', max, [1], [np.linspace(-2.0, 2.0, 4), np.linspace(-2.0, 2.0, 4)])
+ f('clamp', 3, '1.10', _clamp, [1, 2], [np.linspace(-2.0, 2.0, 4), np.linspace(-1.5, 1.5, 3), np.linspace(-1.5, 1.5, 3)])
+ f('mix', 3, '1.10', lambda x, y, a: x*(1-a)+y*a, [2], [np.linspace(-2.0, 2.0, 2), np.linspace(-3.0, 3.0, 2), np.linspace(0.0, 1.0, 4)])
+ f('step', 2, '1.10', lambda edge, x: 0.0 if x < edge else 1.0, [0], [np.linspace(-2.0, 2.0, 4), np.linspace(-2.0, 2.0, 4)])
+ f('smoothstep', 3, '1.10', _smoothstep, [0, 1], [np.linspace(-1.9, 1.9, 4), np.linspace(-1.9, 1.9, 4), np.linspace(-2.0, 2.0, 4)])
+_make_componentwise_test_vectors(test_suite)
+
+
+
+def _make_vector_relational_test_vectors(test_suite_dict):
+ """Add test vectors to test_suite_dict for GLSL built-in functions
+ that operate on vectors of floats, ints, or bools, but not on
+ single floats, ints, or bools. Examples include lessThan(),
+ equal(), and not().
+ """
+ _default_inputs = {
+ 'v': np.linspace(-1.5, 1.5, 4),
+ 'i': np.array([1, 2, 3, 4]),
+ 'b': np.array([False, True])
+ }
+ def f(name, arity, glsl_version, python_equivalent, arg_types):
+ """Make test vectors for the function with the given name and
+ arity, which was introduced in the given glsl_version.
+
+ python_equivalent is a Python function which operates on scalars,
+ and simulates the GLSL function.
+
+ arg_types is a string containing 'v' if the function supports
+ standard "vec" inputs, 'i' if it supports "ivec" inputs, and 'b'
+ if it supports "bvec" inputs. The output type of the function is
+ assumed to be the same as its input type.
+ """
+ for arg_type in arg_types:
+ test_inputs = [_default_inputs[arg_type]]*arity
+ scalar_test_vectors = _simulate_function(
+ itertools.product(*test_inputs), python_equivalent)
+ for vector_length in (2, 3, 4):
+ _store_test_vectors(
+ test_suite_dict, name, glsl_version,
+ _vectorize_test_vectors(
+ scalar_test_vectors, (), vector_length))
+ f('lessThan', 2, '1.10', lambda x, y: x < y, 'vi')
+ f('lessThanEqual', 2, '1.10', lambda x, y: x <= y, 'vi')
+ f('greaterThan', 2, '1.10', lambda x, y: x > y, 'vi')
+ f('greaterThanEqual', 2, '1.10', lambda x, y: x >= y, 'vi')
+ f('equal', 2, '1.10', lambda x, y: x == y, 'vib')
+ f('not', 1, '1.10', lambda x: not x, 'b')
+_make_vector_relational_test_vectors(test_suite)
+
+
+
+def _make_vector_or_matrix_test_vectors(test_suite_dict):
+ """Add test vectors to test_suite_dict for GLSL built-in functions
+ that operate on vectors/matrices as a whole. Examples include
+ length(), dot(), cross(), normalize(), and refract().
+ """
+ _std_vectors = [
+ -1.33,
+ 0.85,
+ np.array([-0.10, -1.20]),
+ np.array([-0.42, 0.48]),
+ np.array([-0.03, -0.85, -0.94]),
+ np.array([1.67, 0.66, 1.87]),
+ np.array([-1.65, 1.33, 1.93, 0.76]),
+ np.array([0.80, -0.15, -0.51, 0.0])
+ ]
+ _std_vectors3 = [
+ np.array([-0.03, -0.85, -0.94]),
+ np.array([1.67, 0.66, 1.87]),
+ ]
+ _normalized_vectors = [_normalize(x) for x in _std_vectors]
+ _nontrivial_vectors = [x for x in _std_vectors if not isinstance(x, float)]
+ _std_matrices = [
+ np.array([[ 1.60, 0.76],
+ [ 1.53, -1.00]]), # mat2
+ np.array([[-0.13, -0.87],
+ [-1.40, 1.40]]), # mat2
+ np.array([[-1.11, 1.67, -0.41],
+ [ 0.13, 1.09, -0.02],
+ [ 0.56, 0.95, 0.24]]), # mat3
+ np.array([[-1.69, -0.46, -0.18],
+ [-1.09, 1.75, 2.00],
+ [-1.53, -0.70, -1.47]]), # mat3
+ np.array([[-1.00, -0.55, -1.08, 1.79],
+ [ 1.77, 0.62, 0.48, -1.35],
+ [ 0.09, -0.71, -1.39, -1.21],
+ [-0.91, -1.82, -1.43, 0.72]]), # mat4
+ np.array([[ 0.06, 1.31, 1.52, -1.96],
+ [ 1.60, -0.32, 0.51, -1.84],
+ [ 1.25, 0.45, 1.90, -0.72],
+ [-0.16, 0.45, -0.88, 0.39]]), # mat4
+ np.array([[ 0.09, 1.30, 1.25],
+ [-1.19, 0.08, 1.08]]), # mat3x2
+ np.array([[-0.36, -1.08, -0.60],
+ [-0.53, 0.88, -1.79]]), # mat3x2
+ np.array([[-0.46, 1.94],
+ [-0.45, -0.75],
+ [ 1.03, -0.50]]), # mat2x3
+ np.array([[ 1.38, -1.08],
+ [-1.27, 1.83],
+ [ 1.00, -0.74]]), # mat2x3
+ np.array([[ 1.81, -0.87, 0.81, 0.65],
+ [-1.16, -1.52, 0.25, -1.51]]), # mat4x2
+ np.array([[ 1.93, -1.63, 0.29, 1.60],
+ [ 0.49, 0.27, 0.14, 0.94]]), # mat4x2
+ np.array([[ 0.16, -1.69],
+ [-0.80, 0.59],
+ [-1.74, -1.43],
+ [-0.02, -1.21]]), # mat2x4
+ np.array([[-1.02, 0.74],
+ [-1.64, -0.13],
+ [-1.59, 0.47],
+ [ 0.30, 1.13]]), # mat2x4
+ np.array([[-0.27, -1.38, -1.41, -0.12],
+ [-0.17, -0.56, 1.47, 1.86],
+ [-1.85, -1.29, 1.77, 0.01]]), # mat4x3
+ np.array([[-0.47, -0.15, 1.97, -1.05],
+ [-0.20, 0.53, -1.82, -1.41],
+ [-1.39, -0.19, 1.62, 1.58]]), # mat4x3
+ np.array([[ 1.42, -0.86, 0.27],
+ [ 1.80, -1.74, 0.04],
+ [-1.88, -0.37, 0.43],
+ [ 1.37, 1.90, 0.71]]), # mat3x4
+ np.array([[-1.72, 0.09, 0.45],
+ [-0.31, -1.58, 1.92],
+ [ 0.14, 0.18, -0.56],
+ [ 0.40, -0.77, 1.76]]), # mat3x4
+ ]
+ _ft = [False, True]
+ _bvecs = [np.array(bs) for bs in itertools.product(_ft, _ft)] + \
+ [np.array(bs) for bs in itertools.product(_ft, _ft, _ft)] + \
+ [np.array(bs) for bs in itertools.product(_ft, _ft, _ft, _ft)]
+ def f(name, arity, glsl_version, python_equivalent,
+ argument_indices_to_match, test_inputs):
+ """Make test vectors for the function with the given name and
+ arity, which was introduced in the given glsl_version.
+
+ python_equivalent is a Python function which simulates the GLSL
+ function. This function should return None in any case where the
+ output of the GLSL function is undefined. However, it need not
+ check that the lengths of the input vectors are all the same.
+
+ If argument_indices_to_match is not None, it is a sequence of
+ argument indices indicating which arguments of the function
+ need to have matching types.
+
+ test_inputs is a list, the ith element of which is a list of
+ vectors and/or scalars that are suitable for use as the ith
+ argument of the function.
+ """
+ test_inputs = itertools.product(*test_inputs)
+ if argument_indices_to_match is not None:
+ test_inputs = [
+ arguments
+ for arguments in test_inputs
+ if _argument_types_match(arguments, argument_indices_to_match)]
+ _store_test_vectors(
+ test_suite_dict, name, glsl_version,
+ _simulate_function(test_inputs, python_equivalent))
+ f('length', 1, '1.10', np.linalg.norm, None, [_std_vectors])
+ f('distance', 2, '1.10', lambda x, y: np.linalg.norm(x-y), [0, 1], [_std_vectors, _std_vectors])
+ f('dot', 2, '1.10', np.dot, [0, 1], [_std_vectors, _std_vectors])
+ f('cross', 2, '1.10', np.cross, [0, 1], [_std_vectors3, _std_vectors3])
+ f('normalize', 1, '1.10', _normalize, None, [_std_vectors])
+ f('faceforward', 3, '1.10', _faceforward, [0, 1, 2], [_std_vectors, _std_vectors, _std_vectors])
+ f('reflect', 2, '1.10', _reflect, [0, 1], [_std_vectors, _normalized_vectors])
+ f('refract', 3, '1.10', _refract, [0, 1], [_normalized_vectors, _normalized_vectors, [0.5, 2.0]])
+
+ # Note: technically matrixCompMult operates componentwise.
+ # However, since it is the only componentwise function to operate
+ # on matrices, it is easier to generate test cases for it here
+ # than to add matrix support to _make_componentwise_test_vectors.
+ f('matrixCompMult', 2, '1.10', lambda x, y: x*y, [0, 1], [_std_matrices, _std_matrices])
+
+ f('outerProduct', 2, '1.20', np.outer, None, [_nontrivial_vectors, _nontrivial_vectors])
+ f('transpose', 1, '1.20', np.transpose, None, [_std_matrices])
+ f('any', 1, '1.10', any, None, [_bvecs])
+ f('all', 1, '1.10', all, None, [_bvecs])
+_make_vector_or_matrix_test_vectors(test_suite)
diff --git a/generated_tests/gen_builtin_uniform_tests.py b/generated_tests/gen_builtin_uniform_tests.py
new file mode 100644
index 0000000..708ccd8
--- /dev/null
+++ b/generated_tests/gen_builtin_uniform_tests.py
@@ -0,0 +1,330 @@
+# coding=utf-8
+#
+# Copyright © 2011 Intel Corporation
+#
+# Permission is hereby granted, free of charge, to any person obtaining a
+# copy of this software and associated documentation files (the "Software"),
+# to deal in the Software without restriction, including without limitation
+# the rights to use, copy, modify, merge, publish, distribute, sublicense,
+# and/or sell copies of the Software, and to permit persons to whom the
+# Software is furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice (including the next
+# paragraph) shall be included in all copies or substantial portions of the
+# Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
+# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+# DEALINGS IN THE SOFTWARE.
+
+# Generate a pair of shader_runner tests for every overloaded version
+# of every built-in function, based on the test vectors computed by
+# builtin_function.py.
+#
+# In each pair of generated tests, one test exercises the built-in
+# function in vertex shaders, and the other exercises it in fragment
+# shaders. In both cases, the inputs to the built-in function come
+# from uniforms, so that the effectiveness of the test won't be
+# circumvented by constant folding in the GLSL compiler.
+#
+# The tests operate by invoking the built-in function in the
+# appropriate shader, applying a scale and offset so that the expected
+# values are in the range [0.25, 0.75], and then outputting the result
+# as a solid rgba color, which is then checked using shader_runner's
+# "probe rgba" command.
+#
+# For built-in functions whose result type is a matrix, the test
+# checks one column at a time.
+#
+# This program outputs, to stdout, the name of each file it generates.
+# With the optional argument --names-only, it only outputs the names
+# of the files; it doesn't generate them.
+
+from builtin_function import *
+import abc
+import argparse
+import numpy
+import os
+import os.path
+import sys
+
+def compute_offset_and_scale(test_vectors):
+ """Compute scale and offset values such that for each result in
+ test_vectors, (result - offset) * scale is in the range [0.25,
+ 0.75], and scale is less than or equal to 1.0. These values are
+ used to transform the test vectors so that their outputs can be
+ stored in gl_FragColor without overflow.
+ """
+ low = min(numpy.min(tv.result) for tv in test_vectors)
+ hi = max(numpy.max(tv.result) for tv in test_vectors)
+ span = hi - low
+ center = (hi + low)/2.0
+ span *= 2.0
+ if span < 1.0:
+ span = 1.0
+ offset = center - span/2.0
+ scale = 1.0/span
+ return offset, scale
+
+
+
+def shader_runner_format(values):
+ """Format the given values for use in a shader_runner "uniform" or
+ "probe rgba" command. Bools are converted to 0's and 1's, and
+ values are separated by spaces.
+ """
+ transformed_values = []
+ for value in values:
+ if isinstance(value, bool):
+ transformed_values.append(int(value))
+ else:
+ transformed_values.append(value)
+ return ' '.join(str(x) for x in transformed_values)
+
+
+
+def shader_runner_type(glsl_type):
+ """Return the appropriate type name necessary for binding a
+ uniform of the given type using shader_runner's "uniform" command.
+ Boolean values and vectors are converted to ints, and square
+ matrices are written in "matNxN" form.
+ """
+ if glsl_type.base_type == glsl_bool:
+ if glsl_type.is_scalar:
+ return 'int'
+ else:
+ return 'ivec{0}'.format(glsl_type.num_rows)
+ elif glsl_type.is_matrix:
+ return 'mat{0}x{1}'.format(glsl_type.num_cols, glsl_type.num_rows)
+ else:
+ return str(glsl_type)
+
+
+
+class ShaderTest(object):
+ """Class used to build a test of a single built-in. This is an
+ abstract base class--derived types should override test_prefix(),
+ make_vertex_shader(), and make_fragment_shader().
+ """
+ __metaclass__ = abc.ABCMeta
+
+ def __init__(self, signature, test_vectors):
+ """Prepare to build a test for a single built-in. signature
+ is the signature of the built-in (a key from the
+ builtin_function.test_suite dict), and test_vectors is the
+ list of test vectors for testing the given builtin (the
+ corresponding value from the builtin_function.test_suite
+ dict).
+ """
+ self._signature = signature
+ self._test_vectors = test_vectors
+ self._offset, self._scale = compute_offset_and_scale(test_vectors)
+
+ def glsl_version(self):
+ return self._signature.version_introduced
+
+ def version_directive(self):
+ if self.glsl_version() == '1.10':
+ return ''
+ else:
+ return '#version {0}\n'.format(self.glsl_version().replace('.', ''))
+
+ @abc.abstractmethod
+ def test_prefix(self):
+ """Return the prefix that should be used in the test file name
+ to identify the type of test, e.g. "vs" for a vertex shader
+ test.
+ """
+
+ @abc.abstractmethod
+ def make_vertex_shader(self):
+ """Return the vertex shader for this test."""
+
+ @abc.abstractmethod
+ def make_fragment_shader(self):
+ """Return the fragment shader for this test."""
+
+ def make_test_shader(self, additional_declarations, additional_statements,
+ output_var):
+ """Generate the shader code necessary to test the built-in.
+ additional_declarations is a string containing any
+ declarations that need to be before the main() function of the
+ shader. additional_statements is a string containing any
+ additional statements than need to be inside the main()
+ function of the shader, before the built-in function is
+ called. output_var is the variable that the result of the
+ built-in function should be assigned to, after conversion to a
+ vec4.
+ """
+ shader = self.version_directive()
+ shader += additional_declarations
+ for i in xrange(len(self._signature.argtypes)):
+ shader += 'uniform {0} arg{1};\n'.format(
+ self._signature.argtypes[i], i)
+ if self._signature.rettype.is_matrix:
+ shader += 'uniform int column;\n'
+ indexer = '[column]'
+ else:
+ indexer = ''
+ padding = 4 - self._signature.rettype.num_rows
+ shader += '\n'
+ shader += 'void main()\n'
+ shader += '{\n'
+ shader += additional_statements
+ args = ', '.join(
+ 'arg{0}'.format(i) for i in xrange(len(self._signature.argtypes)))
+ shader += ' {0} result = {1}({2});\n'.format(
+ self._signature.rettype, self._signature.name, args)
+ if self._signature.rettype.base_type != glsl_bool:
+ shader += ' result -= {0};\n'.format(self._offset)
+ shader += ' result *= {0};\n'.format(self._scale)
+ shader += ' {0} = vec4(result{1}{2});\n'.format(
+ output_var, indexer, ', 0.0' * padding)
+ shader += '}\n'
+ return shader
+
+ def rescale_and_pad(self, value):
+ """Apply the scale and offset to the given vector or scalar
+ value, convert it into a list of floats, and pad it with 0's
+ to a length of 4. This is used to determine the expected
+ color produced by the test.
+ """
+ if self._signature.rettype.base_type == glsl_bool:
+ value = value*1.0
+ else:
+ value = (value - self._offset) * self._scale
+ value = column_major_values(value)
+ while len(value) < 4:
+ value.append(0.0)
+ return value
+
+ def make_test(self):
+ """Make the complete shader_runner test file, and return it as
+ a string.
+ """
+ test = ''
+ for test_num, test_vector in enumerate(self._test_vectors):
+ args, expected = test_vector
+ for i in xrange(len(args)):
+ test += 'uniform {0} arg{1} {2}\n'.format(
+ shader_runner_type(self._signature.argtypes[i]),
+ i, shader_runner_format(column_major_values(args[i])))
+ if self._signature.rettype.is_matrix:
+ # Test one column at a time
+ for column in xrange(self._signature.rettype.num_cols):
+ test += 'uniform int column {0}\n'.format(column)
+ test += 'draw rect -1 -1 2 2\n'
+ test += 'probe rgba {0} {1} {2}\n'.format(
+ test_num, column,
+ shader_runner_format(
+ self.rescale_and_pad(expected[:,column])))
+ else:
+ test += 'draw rect -1 -1 2 2\n'
+ test += 'probe rgba {0} 0 {1}\n'.format(
+ test_num,
+ shader_runner_format(self.rescale_and_pad(expected)))
+ return test
+
+ def filename(self):
+ argtype_names = '-'.join(
+ str(argtype) for argtype in self._signature.argtypes)
+ return os.path.join(
+ 'spec', 'glsl-{0}'.format(self.glsl_version()),
+ 'execution', 'built-in-functions',
+ '{0}-{1}-{2}.shader_test'.format(
+ self.test_prefix(), self._signature.name, argtype_names))
+
+ def generate_shader_test(self):
+ """Generate the test and write it to the output file."""
+ shader_test = '[require]\n'
+ shader_test += 'GLSL >= {0}\n'.format(self.glsl_version())
+ shader_test += '\n'
+ shader_test += '[vertex shader]\n'
+ shader_test += self.make_vertex_shader()
+ shader_test += '\n'
+ shader_test += '[fragment shader]\n'
+ shader_test += self.make_fragment_shader()
+ shader_test += '\n'
+ shader_test += '[test]\n'
+ shader_test += self.make_test()
+ filename = self.filename()
+ dirname = os.path.dirname(filename)
+ if not os.path.exists(dirname):
+ os.makedirs(dirname)
+ with open(filename, 'w') as f:
+ f.write(shader_test)
+
+
+
+class VertexShaderTest(ShaderTest):
+ """Derived class for tests that exercise the built-in in a vertex
+ shader.
+ """
+ def test_prefix(self):
+ return 'vs'
+
+ def make_vertex_shader(self):
+ return self.make_test_shader(
+ 'varying vec4 color;\n', ' gl_Position = gl_Vertex;\n', 'color')
+
+ def make_fragment_shader(self):
+ shader = self.version_directive()
+ shader += '''varying vec4 color;
+
+void main()
+{
+ gl_FragColor = color;
+}
+'''
+ return shader
+
+
+
+class FragmentShaderTest(ShaderTest):
+ """Derived class for tests that exercise the built-in in a
+ fragment shader.
+ """
+ def test_prefix(self):
+ return 'fs'
+
+ def make_vertex_shader(self):
+ shader = self.version_directive()
+ shader += '''void main()
+{
+ gl_Position = gl_Vertex;
+}
+'''
+ return shader
+
+ def make_fragment_shader(self):
+ return self.make_test_shader('', '', 'gl_FragColor')
+
+
+
+def all_tests():
+ for signature, test_vectors in test_suite.items():
+ yield VertexShaderTest(signature, test_vectors)
+ yield FragmentShaderTest(signature, test_vectors)
+
+
+
+def main():
+ desc = 'Generate shader tests that test built-in functions using uniforms'
+ parser = argparse.ArgumentParser(description=desc)
+ parser.add_argument(
+ '--names-only', dest='names_only', action='store_true',
+ help="Don't output files, just generate a list of filenames to stdout")
+ args = parser.parse_args()
+ for test in all_tests():
+ if not args.names_only:
+ test.generate_shader_test()
+ print test.filename()
+
+
+
+if __name__ == '__main__':
+ main()
diff --git a/tests/all.tests b/tests/all.tests
index cc6c684..5278bad 100644
--- a/tests/all.tests
+++ b/tests/all.tests
@@ -20,6 +20,15 @@ blacklist = [
'shaders/glsl-vs-inline-explosion',
]
+# Find the generated_tests directory, by looking either in
+# $PIGLIT_BUILD_DIR (if that environment variable exists) or in the
+# parent directory of the directory containing this file.
+generatedTestDir = os.path.join(
+ os.environ.get(
+ 'PIGLIT_BUILD_DIR',
+ os.path.join(os.path.dirname(__file__), '..')),
+ 'generated_tests')
+
######
# Collecting all tests
profile = TestProfile()
@@ -722,6 +731,9 @@ spec['glsl-1.10']['execution'] = Group()
add_shader_test_dir(spec['glsl-1.10']['execution'],
os.path.join(os.path.dirname(__file__), 'spec', 'glsl-1.10', 'execution'),
recursive=True)
+add_shader_test_dir(spec['glsl-1.10']['execution'],
+ os.path.join(generatedTestDir, 'spec', 'glsl-1.10', 'execution'),
+ recursive=True)
# Group spec/glsl-1.20
spec['glsl-1.20'] = Group()
@@ -732,6 +744,9 @@ spec['glsl-1.20']['execution'] = Group()
add_shader_test_dir(spec['glsl-1.20']['execution'],
os.path.join(os.path.dirname(__file__), 'spec', 'glsl-1.20', 'execution'),
recursive=True)
+add_shader_test_dir(spec['glsl-1.20']['execution'],
+ os.path.join(generatedTestDir, 'spec', 'glsl-1.20', 'execution'),
+ recursive=True)
# Group spec/glsl-1.30
spec['glsl-1.30'] = Group()
--
1.7.6
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