| /external/u-boot/include/ |
| boot_fit.h | 8 * locate_dtb_in_fit - Find a DTB matching the board in a FIT image
9 * @fit: pointer to the FIT image
13 void *locate_dtb_in_fit(const void *fit);
|
| image.h | 50 #define IMAGE_ENABLE_FIT CONFIG_IS_ENABLED(FIT)
70 # define CONFIG_CRC32 /* FIT images need CRC32 support */
335 * Legacy and FIT format headers used by do_bootm() and do_bootm_<os>()
351 void *fit_hdr_os; /* os FIT image header */
355 void *fit_hdr_rd; /* init ramdisk FIT image header */
359 void *fit_hdr_fdt; /* FDT blob FIT image header */
363 void *fit_hdr_setup; /* x86 setup FIT image header */
542 /* What to do with a image load address ('load = <> 'in the FIT) */
583 * boot_get_loadable() will take the given FIT configuration, and look
585 * the FIT given as strings. exe
1097 void *fit; \/* Pointer to FIT blob *\/ member in struct:image_sign_info
[all...] |
| /external/u-boot/common/ |
| boot_fit.c | 15 static int fdt_offset(const void *fit)
20 node = fit_find_config_node(fit);
24 images = fdt_path_offset(fit, FIT_IMAGES_PATH);
30 fdt_name = fdt_getprop(fit, node, FIT_FDT_PROP, &fdt_len);
37 fdt_node = fdt_subnode_offset(fit, images, fdt_name);
44 fdt_offset = fdt_getprop_u32(fit, fdt_node, "data-offset");
49 fdt_len = fdt_getprop_u32(fit, fdt_node, "data-size");
57 void *locate_dtb_in_fit(const void *fit)
63 size = fdt_totalsize(fit);
66 header = (struct image_header *)fit;
[all...] |
| image-fit.c | 57 * fit_parse_conf - parse FIT configuration spec
60 * @addr: pointer to a ulong variable, will hold FIT image address of a given
66 * where <addr> is a FIT image address that contains configuration
84 * fit_parse_subimage - parse FIT subimage spec
87 * @addr: pointer to a ulong variable, will hold FIT image address of a given
92 * [<addr>]:<subimage>, where <addr> is a FIT image address that contains
110 static void fit_get_debug(const void *fit, int noffset,
113 debug("Can't get '%s' property from FIT 0x%08lx, node: offset %d, name %s (%s)\n",
114 prop_name, (ulong)fit, noffset, fit_get_name(fit, noffset, NULL)
1792 const void *fit; local
2033 const void *fit; local
[all...] |
| image-sig.c | 116 * @fit: FIT image
124 struct image_region *fit_region_make_list(const void *fit,
146 region[i].data = fit + fdt_regions[i].offset;
154 const void *fit, int noffset, int required_keynode,
159 if (fit_image_hash_get_algo(fit, noffset, &algo_name)) {
164 info->keyname = fdt_getprop(fit, noffset, "key-name-hint", NULL);
165 info->fit = (void *)fit;
182 int fit_image_check_sig(const void *fit, int noffset, const void *data
[all...] |
| update.c | 215 static int update_fit_getparams(const void *fit, int noffset, ulong *addr,
220 if (fit_image_get_data(fit, noffset, &data, (size_t *)size))
223 if (fit_image_get_load(fit, noffset, (ulong *)fladdr))
238 void *fit; local
281 fit = (void *)addr;
283 if (!fit_check_format((void *)fit)) {
284 printf("Bad FIT format of the update file, aborting "
290 images_noffset = fdt_path_offset(fit, FIT_IMAGES_PATH);
293 noffset = fdt_next_node(fit, images_noffset, &ndepth);
298 fit_image_name = (char *)fit_get_name(fit, noffset, NULL)
[all...] |
| /external/u-boot/common/spl/ |
| spl_fit.c | 21 * @fit: Pointer to the FDT blob.
29 static int spl_fit_get_image_name(const void *fit, int images,
38 conf_node = fit_find_config_node(fit);
42 for (node = fdt_first_subnode(fit, conf_node);
44 node = fdt_next_subnode(fit, node)) {
45 name = fdt_getprop(fit, node, "description", &len);
52 name = fdt_getprop(fit, conf_node, type, &len);
75 * @fit: Pointer to the FDT blob.
83 static int spl_fit_get_image_node(const void *fit, int images,
90 err = spl_fit_get_image_name(fit, images, type, index, &str)
[all...] |
| /external/u-boot/tools/ |
| image-host.c | 18 * @fit: pointer to the FIT format image header
30 static int fit_set_hash_value(void *fit, int noffset, uint8_t *value,
35 ret = fdt_setprop(fit, noffset, FIT_VALUE_PROP, value, value_len);
38 FIT_VALUE_PROP, fit_get_name(fit, noffset, NULL),
52 * @fit: pointer to the FIT format image header
59 static int fit_image_process_hash(void *fit, const char *image_name,
68 node_name = fit_get_name(fit, noffset, NULL);
70 if (fit_image_hash_get_algo(fit, noffset, &algo))
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/ |
| GaussianFitter.java | 45 * GaussianFunction fitFunction = fitter.fit();
94 * @throws FunctionEvaluationException if <code>CurveFitter.fit</code> throws it
95 * @throws OptimizationException if <code>CurveFitter.fit</code> throws it
96 * @throws IllegalArgumentException if <code>CurveFitter.fit</code> throws it
100 public GaussianFunction fit() throws FunctionEvaluationException, OptimizationException { method in class:GaussianFitter
101 return new GaussianFunction(fitter.fit(new ParametricGaussianFunction(),
|
| PolynomialFitter.java | 53 * @param weight weight of the observed point in the fit
74 public PolynomialFunction fit() throws OptimizationException { method in class:PolynomialFitter
76 return new PolynomialFunction(fitter.fit(new ParametricPolynomial(), new double[degree + 1]));
|
| /external/skia/src/gpu/ |
| GrTextureRenderTargetProxy.cpp | 26 SkBackingFit fit,
29 : GrSurfaceProxy(format, desc, origin, fit, budgeted, surfaceFlags)
31 , GrRenderTargetProxy(caps, format, desc, origin, fit, budgeted, surfaceFlags)
32 , GrTextureProxy(format, desc, origin, mipMapped, fit, budgeted, surfaceFlags) {}
41 SkBackingFit fit,
44 : GrSurfaceProxy(std::move(callback), lazyType, format, desc, origin, fit, budgeted,
48 , GrRenderTargetProxy(LazyInstantiateCallback(), lazyType, format, desc, origin, fit,
51 fit, budgeted, surfaceFlags) {}
|
| GrRecordingContext.cpp | 169 SkBackingFit fit,
175 proxy = this->proxyProvider()->createProxy(format, dstDesc, origin, fit, isDstBudgeted);
177 SkASSERT(SkBackingFit::kExact == fit);
196 SkBackingFit fit,
219 rtp = this->proxyProvider()->createProxy(format, desc, origin, fit, budgeted);
269 SkBackingFit fit,
293 return this->makeDeferredRenderTargetContext(localFormat, fit, width, height, config,
327 SkBackingFit fit,
331 return fContext->makeDeferredSurfaceContext(format, dstDesc, origin, mipMapped, fit,
337 SkBackingFit fit,
[all...] |
| GrRenderTargetProxy.cpp | 24 SkBackingFit fit, SkBudgeted budgeted,
26 : INHERITED(format, desc, origin, fit, budgeted, surfaceFlags)
41 GrSurfaceOrigin origin, SkBackingFit fit,
44 : INHERITED(std::move(callback), lazyType, format, desc, origin, fit, budgeted,
|
| /external/skqp/src/gpu/ |
| GrTextureRenderTargetProxy.cpp | 26 SkBackingFit fit,
29 : GrSurfaceProxy(format, desc, origin, fit, budgeted, surfaceFlags)
31 , GrRenderTargetProxy(caps, format, desc, origin, fit, budgeted, surfaceFlags)
32 , GrTextureProxy(format, desc, origin, mipMapped, fit, budgeted, surfaceFlags) {}
41 SkBackingFit fit,
44 : GrSurfaceProxy(std::move(callback), lazyType, format, desc, origin, fit, budgeted,
48 , GrRenderTargetProxy(LazyInstantiateCallback(), lazyType, format, desc, origin, fit,
51 fit, budgeted, surfaceFlags) {}
|
| GrRenderTargetProxy.cpp | 24 SkBackingFit fit, SkBudgeted budgeted,
26 : INHERITED(format, desc, origin, fit, budgeted, surfaceFlags)
41 GrSurfaceOrigin origin, SkBackingFit fit,
43 : INHERITED(std::move(callback), lazyType, format, desc, origin, fit, budgeted,
|
| /external/skia/src/core/ |
| SkGpuBlurUtils.h | 35 * @param fit backing fit for the returned render target context
48 SkBackingFit fit = SkBackingFit::kApprox);
|
| /external/skqp/src/core/ |
| SkGpuBlurUtils.h | 35 * @param fit backing fit for the returned render target context
48 SkBackingFit fit = SkBackingFit::kApprox);
|
| /external/u-boot/test/py/tests/ |
| test_vboot.py | 10 - Create FIT (unsigned) with mkimage
17 - Create FIT (with unsigned configuration) with mkimage
19 - Sign the FIT and mark the key as 'required' for verification
76 ['sb load hostfs - 100 %stest.fit' % tmpdir,
84 """Make a new FIT from the .its source file.
86 This runs 'mkimage -f' to create a new FIT.
92 '%s%s' % (datadir, its), fit])
95 """Sign the FIT
97 Signs the FIT and writes the signature into it. It also writes the
106 '-r', fit])
[all...] |
| test_fit.py | 4 # Sanity check of the FIT handling in U-Boot
96 # This is the U-Boot script that is run for each test. First load the FIT,
100 sb load hostfs 0 %(fit_addr)x %(fit)s
174 """Make a sample .fit file ready for loading
177 turn this into a .fit image.
183 Filename of .fit file created
185 fit = make_fname('test.fit')
187 util.run_and_log(cons, [mkimage, '-f', its, fit])
190 return fit
[all...] |
| /external/tensorflow/tensorflow/python/keras/engine/ |
| feature_columns_integration_test.py | 67 model.fit(x, y, epochs=1, batch_size=5)
68 model.fit(x, y, epochs=1, batch_size=5)
92 model.fit(ds, steps_per_epoch=1)
93 model.fit(ds, steps_per_epoch=1)
113 dnn_model.fit(x=x, y=y, epochs=1, batch_size=5)
114 dnn_model.fit(x=x, y=y, epochs=1, batch_size=5)
137 dnn_model.fit(ds, steps_per_epoch=1)
138 dnn_model.fit(ds, steps_per_epoch=1)
167 print(model.fit(*data, epochs=1))
202 print(model.fit(*data_list, epochs=1)
[all...] |
| training_eager_test.py | 56 hist = model.fit(np.zeros((1, 1)), np.zeros((1, 1)))
98 model.fit(
104 model.fit(
111 model.fit([input_a, input_b], [target_a, target_b],
123 model.fit(
128 model.fit([input_a, input_b], [target_a, target_b],
131 model.fit(
165 model.fit(inputs, targets, epochs=1, batch_size=2, verbose=0)
166 model.fit(inputs, targets, epochs=1, batch_size=3, verbose=0, shuffle=False)
167 model.fit(inputs, targets, epochs=1, batch_size=4, verbose=0
[all...] |
| /external/tensorflow/tensorflow/contrib/kernel_methods/python/ |
| kernel_estimators_test.py | 87 logreg_classifier.fit(
118 logreg_classifier.fit(
140 kernelized_logreg_classifier.fit(
156 linear_classifier.fit(
170 kernel_linear_classifier.fit(
211 linear_classifier.fit(input_fn=input_fn, steps=100)
222 kernel_linear_classifier.fit(input_fn=input_fn, steps=100)
242 linear_classifier.fit(input_fn=test_data.iris_input_multiclass_fn, steps=50)
258 kernel_linear_classifier.fit(
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| trainable.py | 39 def fit(self, member in class:Trainable
71 'steps' works incrementally. If you call two times fit(steps=10) then
82 Two calls to `fit(steps=100)` means 200 training
83 iterations. On the other hand, two calls to `fit(max_steps=100)` means
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| svm_test.py | 46 svm_classifier.fit(input_fn=input_fn, steps=30)
72 svm_classifier.fit(input_fn=input_fn, steps=30)
104 svm_classifier.fit(input_fn=input_fn, steps=30)
127 svm_classifier.fit(input_fn=input_fn, steps=30)
155 svm_classifier.fit(input_fn=input_fn, steps=30)
190 svm_classifier.fit(input_fn=input_fn, steps=30)
214 svm_classifier.fit(input_fn=input_fn, steps=30)
253 svm_classifier.fit(input_fn=input_fn, steps=30)
|
| /external/skia/tests/ |
| ProxyTest.cpp | 45 SkBackingFit fit,
63 if (SkBackingFit::kExact == fit) {
81 SkBackingFit fit) {
96 if (SkBackingFit::kExact == fit) {
119 for (auto fit : { SkBackingFit::kExact, SkBackingFit::kApprox }) {
123 if (GrPixelConfigIsCompressed(config) && SkBackingFit::kApprox == fit) {
142 if (SkBackingFit::kApprox == fit) {
150 proxyProvider->createProxy(format, desc, origin, fit,
169 fit, caps.maxWindowRectangles());
177 if (SkBackingFit::kApprox == fit) {
[all...] |
