| /external/mesa3d/src/compiler/glsl/ |
| opt_flip_matrices.cpp | 98 ir_dereference_variable *var_ref = array_ref->array->as_dereference_variable(); local
99 assert(var_ref && var_ref->var == mat_var);
104 var_ref->var = texmat_transpose;
|
| opt_constant_folding.cpp | 99 ir_dereference_variable *var_ref = (*rvalue)->as_dereference_variable();
100 if (var_ref)
|
| opt_constant_propagation.cpp | 155 ir_dereference_variable *var_ref = (*rvalue)->as_dereference_variable(); local
156 if (var_ref && !var_ref->type->is_array()) {
158 var_ref->constant_expression_value(ralloc_parent(var_ref));
|
| builtin_functions.cpp | 689 ir_dereference_variable *var_ref(ir_variable *var);
3552 builtin_builder::var_ref(ir_variable *var) function in class:builtin_builder
[all...] |
| ir_reader.cpp | 883 s_pattern var_pat[] = { "var_ref", s_var };
906 ir_dereference_variable *var_ref = read_var_ref(expr); local
907 if (var_ref != NULL) {
908 return var_ref;
[all...] |
| /external/mesa3d/src/compiler/nir/ |
| nir_lower_clip_cull_distance_arrays.c | 93 nir_deref_var *var_ref = intrin->variables[0];
94 if (var_ref->var->data.mode != combined->data.mode)
97 if (var_ref->var->data.location != VARYING_SLOT_CLIP_DIST0 &&
98 var_ref->var->data.location != VARYING_SLOT_CULL_DIST0)
103 nir_deref *deref = &var_ref->deref;
111 if (var_ref->var->data.location == VARYING_SLOT_CULL_DIST0) {
119 var_ref->var = combined;
|
| /device/generic/opengl-transport/host/commands/emugen/tests/t.001/expected/decoder/ |
| foo_dec.cpp | 48 FooFloat var_ref = Unpack<FooFloat,uint32_t>(ptr + 8 + 4); local
53 DEBUG("foo(%p): fooAlphaFunc(%d %f )\n", stream, var_func, var_ref);
54 this->fooAlphaFunc(var_func, var_ref);
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| fused_batchnorm_test.py | 83 y_ref, mean_ref, var_ref = self._reference_training(
103 variance=var_ref,
126 y_ref, mean_ref, var_ref = self._reference_training(
171 self.assertAllClose(var_val, var_ref, atol=1e-3)
|
| /external/tensorflow/tensorflow/python/ops/ |
| nn_fused_batchnorm_test.py | 132 y_ref, mean_ref, var_ref = self._training_ref(x, scale, offset, epsilon,
141 var_ref = var_ref * sample_size / (max(sample_size - 1.0, 1.0))
142 self.assertAllClose(var_ref, var_val, atol=1e-3)
|
