| /external/mesa3d/prebuilt-intermediates/nir/ |
| nir_opcodes.c | 10 .input_sizes = {
24 .input_sizes = {
38 .input_sizes = {
52 .input_sizes = {
66 .input_sizes = {
80 .input_sizes = {
94 .input_sizes = {
108 .input_sizes = {
122 .input_sizes = {
136 .input_sizes =
[all...] |
| /frameworks/base/media/mca/filterpacks/native/imageproc/ |
| to_rgba.c | 22 const int* input_sizes,
32 if (input_sizes[0] != output_size/3)
43 for (i = 0; i < input_sizes[0]; ++i) {
53 const int* input_sizes,
63 if (input_sizes[0]/4 != output_size/3)
74 for (i = 0; i < input_sizes[0] / 4; ++i) {
85 const int* input_sizes,
95 if (input_sizes[0] != output_size/4)
106 for (i = 0; i < input_sizes[0]; ++i) {
117 const int* input_sizes,
[all...] |
| invert.c | 22 const int* input_sizes,
32 if (input_sizes[0] != output_size)
|
| brightness.c | 50 const int* input_sizes,
62 if (input_sizes[0] != output_size) {
63 LOGE("Brightness: Input-output sizes do not match up. %d vs. %d!", input_sizes[0], output_size);
|
| contrast.c | 45 const int* input_sizes,
57 if (input_sizes[0] != output_size) {
58 LOGE("Contrast: Input-output sizes do not match up. %d vs. %d!", input_sizes[0], output_size);
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| pooling_ops_3d_test.py | 46 def _VerifyValues(self, pool_func, input_sizes, window, strides, padding,
52 input_sizes: Input tensor dimensions.
59 for s in input_sizes:
64 x = x.reshape(input_sizes)
81 input_sizes=[1, 3, 3, 3, 3],
91 input_sizes=[1, 2, 2, 4, 3],
101 input_sizes=[1, 5, 8, 1, 1],
111 input_sizes=[1, 3, 3, 3, 3],
121 input_sizes=[1, 2, 2, 3, 3],
131 input_sizes=[1, 5, 8, 1, 1]
[all...] |
| conv2d_test.py | 38 input_sizes=None,
47 input_sizes: Input tensor dimensions in
56 total_size_1 = np.prod(input_sizes)
58 x1 = np.arange(1, total_size_1 + 1, dtype=np.float32).reshape(input_sizes)
66 t1 = array_ops.placeholder(dtypes.float32, shape=input_sizes)
85 input_sizes=[1, 2, 3, 3],
95 input_sizes=[1, 2, 3, 3],
104 input_sizes=[1, 4, 4, 1],
117 input_sizes=[1, 2, 3, 3],
126 input_sizes=[1, 2, 3, 3]
[all...] |
| pooling_ops_test.py | 74 def _VerifyOneTest(self, pool_func, input_sizes, ksize, strides, padding,
80 input_sizes: Input tensor dimensions.
87 total_size = np.prod(input_sizes)
91 x = x.reshape(input_sizes)
110 def _VerifyValues(self, pool_func, input_sizes, ksize, strides, padding,
117 input_sizes: Input tensor dimensions.
124 self._VerifyOneTest(pool_func, input_sizes, ksize, strides, padding,
130 input_sizes=[1, 3, 3, 3],
139 input_sizes=[1, 2, 3, 3],
156 input_sizes=[1, 2, 2, 1]
[all...] |
| depthwise_conv_op_test.py | 70 input_sizes = [[4, 5, 5, 48], [4, 8, 8, 84], [4, 17, 17, 48], [4, 9, 27, 8],
85 for i, f, o, s, p in zip(input_sizes, filter_sizes, out_sizes, strides,
100 input_sizes = [[2, 5, 8, 1], [4, 5, 5, 1], [2, 4, 4, 2], [1, 15, 15, 2],
112 for i, f, o, s, p in zip(input_sizes, filter_sizes, out_sizes, strides,
318 def _CompareBackpropInput(self, input_sizes, filter_sizes, output_sizes,
325 t0 = constant_op.constant(input_sizes, shape=[len(input_sizes)])
353 def _CompareBackpropFilter(self, input_sizes, filter_sizes, output_sizes,
355 x0 = np.random.rand(*input_sizes).astype(np.float32)
360 t0 = array_ops.placeholder(np.float32, shape=input_sizes)
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| pooling_ops_3d_test.py | 48 def _VerifyOneTest(self, pool_func, input_sizes, window, strides, padding,
54 input_sizes: Input tensor dimensions.
63 for s in input_sizes:
69 t = constant_op.constant(x, shape=input_sizes)
89 def _VerifyValues(self, pool_func, input_sizes, window, strides,
92 self._VerifyOneTest(pool_func, input_sizes, window, strides, padding,
99 input_sizes=[1, 3, 3, 3, 3],
109 input_sizes=[1, 2, 2, 4, 3],
119 input_sizes=[1, 5, 8, 1, 1],
129 input_sizes=[1, 3, 3, 3, 3]
[all...] |
| pooling_ops_test.py | 76 input_sizes = [[32, 71, 71, 192], [32, 35, 35, 288], [32, 17, 17, 1248],
83 for i in input_sizes:
88 for n, i, f, o, s, p in zip(names, input_sizes, filter_sizes, output_sizes,
95 def _VerifyOneType(self, pool_func, input_sizes, ksize, strides, padding,
102 input_sizes: Input tensor dimensions.
112 for s in input_sizes:
122 if input_sizes[-1] % 4 != 0:
123 tf_logging.info("Skipping test for depth %d", input_sizes[-1])
126 input_sizes, total_size, pool_func, ksize, strides)
131 t = constant_op.constant(x, shape=input_sizes, dtype=data_type
[all...] |
| conv_ops_test.py | 59 input_sizes = [[4, 5, 5, 1248], [4, 8, 8, 384], [4, 8, 8, 384],
122 for i in input_sizes:
140 for i, f, o, s, p in zip(input_sizes, filter_sizes, out_sizes, strides,
520 def _RunAndVerifyBackpropInput(self, input_sizes, filter_sizes, output_sizes,
535 input_sizes = test_util.NHWCToNCHW(input_sizes)
536 t0 = constant_op.constant(input_sizes, shape=[len(input_sizes)])
554 def _CompareBackpropInput(self, input_sizes, filter_sizes, output_sizes,
562 new_input_sizes = test_util.NHWCToNCHW(input_sizes)
[all...] |
| depthwise_conv_op_test.py | 40 input_sizes = [[4, 5, 5, 48], [4, 8, 8, 84], [4, 17, 17, 48], [4, 9, 27, 8],
55 for i, f, o, s, p in zip(input_sizes, filter_sizes, out_sizes, strides,
70 input_sizes = [[2, 5, 8, 1], [4, 5, 5, 1], [2, 4, 4, 2], [1, 15, 15, 2],
82 for i, f, o, s, p in zip(input_sizes, filter_sizes, out_sizes, strides,
454 def _CompareBackpropInputFloat(self, input_sizes, filter_sizes, output_sizes,
461 t0 = constant_op.constant(input_sizes, shape=[len(input_sizes)])
474 def _CompareBackpropInputDouble(self, input_sizes, filter_sizes, output_sizes,
481 t0 = constant_op.constant(input_sizes, shape=[len(input_sizes)])
[all...] |
| neon_depthwise_conv_op_test.py | 38 input_sizes = [[4, 5, 5, 48], [4, 8, 8, 84], [4, 17, 17, 48], [4, 35, 35, 2],
50 for i, f, o, s, p in zip(input_sizes, filter_sizes, out_sizes, strides,
65 input_sizes = [[2, 5, 8, 1], [4, 5, 5, 1], [2, 4, 4, 2], [1, 15, 15, 2],
77 for i, f, o, s, p in zip(input_sizes, filter_sizes, out_sizes, strides,
|
| /external/tensorflow/tensorflow/contrib/receptive_field/python/util/ |
| graph_compute_order_test.py | 84 input_sizes = {}
92 input_sizes[node.name] = input_size
99 self.assertIn(k, input_sizes)
100 self.assertEqual(input_sizes[k], v)
|
| /external/mesa3d/src/compiler/nir/ |
| nir_opcodes.py | 35 def __init__(self, name, output_size, output_type, input_sizes,
69 assert isinstance(input_sizes, list)
70 assert isinstance(input_sizes[0], int)
75 assert len(input_sizes) == len(input_types)
77 for size in input_sizes:
82 self.num_inputs = len(input_sizes)
85 self.input_sizes = input_sizes
107 def opcode(name, output_size, output_type, input_sizes, input_types,
110 opcodes[name] = Opcode(name, output_size, output_type, input_sizes,
[all...] |
| nir_lower_alu_to_scalar.c | 46 unsigned num_components = nir_op_infos[instr->op].input_sizes[0];
218 /* We only handle same-size-as-dest (input_sizes[] == 0) or scalar
219 * args (input_sizes[] == 1).
221 assert(nir_op_infos[instr->op].input_sizes[i] < 2);
222 unsigned src_chan = (nir_op_infos[instr->op].input_sizes[i] == 1 ?
|
| /frameworks/base/media/mca/filterfw/native/core/ |
| native_program.cpp | 104 const std::vector<int>& input_sizes,
109 &input_sizes[0],
|
| native_program.h | 57 const std::vector<int>& input_sizes,
|
| /external/tensorflow/tensorflow/contrib/hvx/hexagon_controller/src_soc_interface/include/ |
| soc_interface.h | 48 bool soc_interface_AllocateInOutNodeBuffers(int input_count, int* input_sizes,
|
| /external/tensorflow/tensorflow/core/kernels/hexagon/ |
| soc_interface.h | 47 bool soc_interface_AllocateInOutNodeBuffers(int input_count, int* input_sizes,
|
| /external/tensorflow/tensorflow/contrib/hvx/hexagon_controller/src_soc_interface/ |
| soc_interface.c | 92 bool soc_interface_AllocateInOutNodeBuffers(int input_count, int* input_sizes,
97 input_count, input_sizes, output_count, output_sizes);
|
| /frameworks/base/media/mca/filterfw/jni/ |
| jni_native_program.cpp | 145 std::vector<int> input_sizes(input_count, 0);
160 input_sizes[i] = input_size;
177 return ToJBool(program->CallProcess(input_buffers, input_sizes, output_data, output_size));
|
| /external/tensorflow/tensorflow/core/kernels/ |
| conv_grad_input_ops.cc | 221 const Tensor& input_sizes = context->input(0); variable
225 context, TensorShapeUtils::IsVector(input_sizes.shape()),
227 "Conv2DBackpropInput: input_sizes input must be 1-dim, not ",
228 input_sizes.dims()));
231 input_sizes.vec<int32>(), &input_shape));
336 const Tensor& input_sizes = context->input(0); variable
340 context, TensorShapeUtils::IsVector(input_sizes.shape()),
342 "Conv2DBackpropInput: input_sizes input must be 1-dim, not ",
343 input_sizes.dims()));
346 input_sizes.vec<int32>(), &input_shape))
654 const Tensor& input_sizes = context->input(0); variable
[all...] |
| /external/tensorflow/tensorflow/contrib/hvx/hexagon_controller/src_impl/include/ |
| hexagon_controller.h | 64 int* input_sizes,
|
