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  /external/cblas/testing/
c_zblat3.f 23 * ZGEMM T PUT F FOR NO TEST. SAME COLUMNS.
24 * ZHEMM T PUT F FOR NO TEST. SAME COLUMNS.
25 * ZSYMM T PUT F FOR NO TEST. SAME COLUMNS.
26 * ZTRMM T PUT F FOR NO TEST. SAME COLUMNS.
27 * ZTRSM T PUT F FOR NO TEST. SAME COLUMNS.
28 * ZHERK T PUT F FOR NO TEST. SAME COLUMNS.
29 * ZSYRK T PUT F FOR NO TEST. SAME COLUMNS.
30 * ZHER2K T PUT F FOR NO TEST. SAME COLUMNS.
31 * ZSYR2K T PUT F FOR NO TEST. SAME COLUMNS.
66 LOGICAL FATAL, LTESTT, REWI, SAME, SFATAL, TRACE
    [all...]
c_dblat3.f 23 * cblas_dgemm T PUT F FOR NO TEST. SAME COLUMNS.
24 * cblas_dsymm T PUT F FOR NO TEST. SAME COLUMNS.
25 * cblas_dtrmm T PUT F FOR NO TEST. SAME COLUMNS.
26 * cblas_dtrsm T PUT F FOR NO TEST. SAME COLUMNS.
27 * cblas_dsyrk T PUT F FOR NO TEST. SAME COLUMNS.
28 * cblas_dsyr2k T PUT F FOR NO TEST. SAME COLUMNS.
60 LOGICAL FATAL, LTESTT, REWI, SAME, SFATAL, TRACE,
232 SAME = LDE( CC, CT, N )
233 IF( .NOT.SAME.OR.ERR.NE.ZERO )THEN
234 WRITE( NOUT, FMT = 9989 )TRANSA, TRANSB, SAME, ER
    [all...]
c_sblat3.f 23 * cblas_sgemm T PUT F FOR NO TEST. SAME COLUMNS.
24 * cblas_ssymm T PUT F FOR NO TEST. SAME COLUMNS.
25 * cblas_strmm T PUT F FOR NO TEST. SAME COLUMNS.
26 * cblas_strsm T PUT F FOR NO TEST. SAME COLUMNS.
27 * cblas_ssyrk T PUT F FOR NO TEST. SAME COLUMNS.
28 * cblas_ssyr2k T PUT F FOR NO TEST. SAME COLUMNS.
60 LOGICAL FATAL, LTESTT, REWI, SAME, SFATAL, TRACE,
231 SAME = LSE( CC, CT, N )
232 IF( .NOT.SAME.OR.ERR.NE.ZERO )THEN
233 WRITE( NOUT, FMT = 9989 )TRANSA, TRANSB, SAME, ER
    [all...]
  /external/protobuf/src/google/protobuf/util/
field_comparator.h 62 SAME, // Compared fields are equal. In case of comparing submessages,
74 // Returns SAME or DIFFERENT for simple values, and SAME, DIFFERENT or RECURSE
227 // Returns FieldComparator::SAME if boolean_result is true and
field_comparator.cc 203 return boolean_result ? FieldComparator::SAME : FieldComparator::DIFFERENT;
  /external/eigen/blas/testing/
dblat3.f 40 *> DGEMM T PUT F FOR NO TEST. SAME COLUMNS.
41 *> DSYMM T PUT F FOR NO TEST. SAME COLUMNS.
42 *> DTRMM T PUT F FOR NO TEST. SAME COLUMNS.
43 *> DTRSM T PUT F FOR NO TEST. SAME COLUMNS.
44 *> DSYRK T PUT F FOR NO TEST. SAME COLUMNS.
45 *> DSYR2K T PUT F FOR NO TEST. SAME COLUMNS.
106 LOGICAL FATAL, LTESTT, REWI, SAME, SFATAL, TRACE,
255 SAME = LDE( CC, CT, N )
256 IF( .NOT.SAME.OR.ERR.NE.ZERO )THEN
257 WRITE( NOUT, FMT = 9989 )TRANSA, TRANSB, SAME, ER
    [all...]
sblat3.f 40 *> SGEMM T PUT F FOR NO TEST. SAME COLUMNS.
41 *> SSYMM T PUT F FOR NO TEST. SAME COLUMNS.
42 *> STRMM T PUT F FOR NO TEST. SAME COLUMNS.
43 *> STRSM T PUT F FOR NO TEST. SAME COLUMNS.
44 *> SSYRK T PUT F FOR NO TEST. SAME COLUMNS.
45 *> SSYR2K T PUT F FOR NO TEST. SAME COLUMNS.
106 LOGICAL FATAL, LTESTT, REWI, SAME, SFATAL, TRACE,
255 SAME = LSE( CC, CT, N )
256 IF( .NOT.SAME.OR.ERR.NE.ZERO )THEN
257 WRITE( NOUT, FMT = 9989 )TRANSA, TRANSB, SAME, ER
    [all...]
cblat3.f 40 *> CGEMM T PUT F FOR NO TEST. SAME COLUMNS.
41 *> CHEMM T PUT F FOR NO TEST. SAME COLUMNS.
42 *> CSYMM T PUT F FOR NO TEST. SAME COLUMNS.
43 *> CTRMM T PUT F FOR NO TEST. SAME COLUMNS.
44 *> CTRSM T PUT F FOR NO TEST. SAME COLUMNS.
45 *> CHERK T PUT F FOR NO TEST. SAME COLUMNS.
46 *> CSYRK T PUT F FOR NO TEST. SAME COLUMNS.
47 *> CHER2K T PUT F FOR NO TEST. SAME COLUMNS.
48 *> CSYR2K T PUT F FOR NO TEST. SAME COLUMNS.
111 LOGICAL FATAL, LTESTT, REWI, SAME, SFATAL, TRACE
    [all...]
zblat3.f 40 *> ZGEMM T PUT F FOR NO TEST. SAME COLUMNS.
41 *> ZHEMM T PUT F FOR NO TEST. SAME COLUMNS.
42 *> ZSYMM T PUT F FOR NO TEST. SAME COLUMNS.
43 *> ZTRMM T PUT F FOR NO TEST. SAME COLUMNS.
44 *> ZTRSM T PUT F FOR NO TEST. SAME COLUMNS.
45 *> ZHERK T PUT F FOR NO TEST. SAME COLUMNS.
46 *> ZSYRK T PUT F FOR NO TEST. SAME COLUMNS.
47 *> ZHER2K T PUT F FOR NO TEST. SAME COLUMNS.
48 *> ZSYR2K T PUT F FOR NO TEST. SAME COLUMNS.
113 LOGICAL FATAL, LTESTT, REWI, SAME, SFATAL, TRACE
    [all...]
  /external/tensorflow/tensorflow/python/ops/
nn_ops.py 104 padding: Padding method to use, must be either "VALID" or "SAME".
117 if padding == "SAME":
276 filters: A `Tensor`. Must have the same type as `input`.
281 padding: A `string` from: `"SAME", "VALID"`.
290 A `Tensor`. Has the same type as `input`.
366 If `padding = "SAME"`, then:
397 padding is equivalent to specifying `padding = "SAME"` with a filter_shape of
421 uniformly 1) `dilation_rate` parameters, "SAME" padding, and odd filter
424 net = with_space_to_batch(net, dilation_rate, "SAME", op_1, filter_shape_1)
426 net = with_space_to_batch(net, dilation_rate, "SAME", op_k, filter_shape_k
    [all...]
conv2d_benchmark.py 57 padding: A string from: "SAME", "VALID". The type of padding
110 padding: A string from: "SAME", "VALID". The type of padding
182 paddings = ["VALID", "SAME"]
191 # Keep batch size same as out channels just to reduce the number of
  /external/tensorflow/tensorflow/core/kernels/
ops_util_test.cc 149 padding_struct pad_struct1 = {{3, 3, 2, 2, 2, 2, SAME}, {2, 2, 0, 0, 0, 0}};
156 padding_struct pad_struct1 = {{4, 5, 1, 2, 1, 1, SAME}, {4, 5, 0, 0, 0, 0}};
170 padding_struct pad_struct1 = {{3, 3, 2, 2, 2, 2, SAME}, {2, 2, 0, 1, 0, 1}};
conv_ops_3d.cc 139 errors::InvalidArgument("input and filter must have the same depth"));
229 if (padding == Padding::SAME) {
269 // The input data and filter have the same planes/height/width, so call
295 if (padding == Padding::SAME) {
  /external/tensorflow/tensorflow/python/kernel_tests/
pool_test.py 53 padding: either "SAME" or "VALID".
66 if padding == "SAME":
117 padding: either "SAME" or "VALID".
159 for padding in ["SAME", "VALID"]:
171 for padding in ["SAME", "VALID"]:
175 if padding != "SAME":
197 for padding in ["SAME", "VALID"]:
201 if padding != "SAME":
223 for padding in ["SAME", "VALID"]:
227 if padding != "SAME"
    [all...]
  /external/toybox/toys/pending/
diff.c 27 -s Report when two files are the same
81 SAME,
376 TT.status = SAME;
385 return NULL; //return SAME
415 if (TT.is_binary || (TT.status == SAME)) return NULL;
663 case SAME:
812 if ((TT.st[0].st_ino == TT.st[1].st_ino) //physicaly same device
  /external/tensorflow/tensorflow/compiler/xla/python/
xla_client.py 247 SAME = 2
260 elif padding_type.upper() == 'SAME':
261 padding_type = PaddingType.SAME
263 msg = 'Unknown padding type string: expected "VALID" or "SAME", got {}.'
268 elif padding_type == PaddingType.SAME:
    [all...]
xla_client_test.py 684 [1, 1], xla_client.PaddingType.SAME)
    [all...]
  /external/swiftshader/third_party/llvm-7.0/llvm/utils/vim/syntax/
llvm.vim 204 syn match llvmSpecialComment "\v;\s*CHECK-(NEXT|NOT|DAG|SAME|LABEL):.*$"
  /external/tensorflow/tensorflow/core/kernels/hexagon/
graph_transferer_test.cc 166 BuildConv2DOps(root.WithOpName("conv"), input, filter, strides, "SAME");
187 strides, "SAME");
336 EXPECT_EQ(Padding::SAME, params_conv->padding_id());
362 EXPECT_EQ(Padding::SAME, params_max_pool->padding_id());
hexagon_control_wrapper.cc 291 } else if (params.padding_id() == Padding::SAME) {
graph_transferer.cc 57 const int PADDING_NA_ID = 0; // VALID = 1, SAME = 2
413 // reusing same pointer in Graph.
701 padding_id = keep_dims ? Padding::SAME : Padding::VALID;
    [all...]
  /external/tensorflow/tensorflow/contrib/model_pruning/python/layers/
layers.py 100 padding='SAME',
142 dimensions of the filters. Can be a single integer to specify the same
145 compute output. Can be a single integer to specify the same value for all
148 padding: One of `"VALID"` or `"SAME"`.
156 for atrous convolution. Can be a single integer to specify the same
  /external/toolchain-utils/
chromiumos_image_diff.py 190 ## Note - i1.elf_files and i2.elf_files have exactly the same entries here.
207 'Error: We\'re comparing the SAME file - {0}'.format(f1))
  /external/tensorflow/tensorflow/compiler/tests/
randomized_tests.cc 349 // that the outputs are close. Tensors x and y are close if they have the same
350 // type, same shape, and have close values. For floating-point tensors, the
649 d.padding = Choose<Padding>({SAME, VALID});
793 // Tests if "x" and "y" are tensors of the same type, same shape, and with
    [all...]
  /external/tensorflow/tensorflow/compiler/tf2xla/kernels/
conv_op_helpers.cc 57 // produce the same results as a depthwise convolution. For a [2, 2, 3, 2]
273 // The 'C' dimension for input is in_depth. It must be the same as
277 "input and filter must have the same depth: ", in_depth, " vs ",
509 // + For the SAME padding, we pad top/left side the same as bottom/right
517 : attrs.padding == Padding::SAME

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