/external/libvpx/vp8/common/ |
D | loopfilter_filters.c | 49 signed char filter_value, Filter1, Filter2; in vp8_filter() local 58 filter_value = vp8_signed_char_clamp(ps1 - qs1); in vp8_filter() 59 filter_value &= hev; in vp8_filter() 62 filter_value = vp8_signed_char_clamp(filter_value + 3 * (qs0 - ps0)); in vp8_filter() 63 filter_value &= mask; in vp8_filter() 69 Filter1 = vp8_signed_char_clamp(filter_value + 4); in vp8_filter() 70 Filter2 = vp8_signed_char_clamp(filter_value + 3); in vp8_filter() 77 filter_value = Filter1; in vp8_filter() 80 filter_value += 1; in vp8_filter() 81 filter_value >>= 1; in vp8_filter() [all …]
|
/external/XNNPACK/src/subgraph/ |
D | fully-connected.c | 347 const struct xnn_value* filter_value = &subgraph->values[filter_id]; in xnn_define_fully_connected() local 348 if (filter_value->type != xnn_value_type_dense_tensor) { in xnn_define_fully_connected() 351 xnn_node_type_to_string(xnn_node_type_fully_connected), filter_id, filter_value->type); in xnn_define_fully_connected() 355 if (filter_value->data == NULL) { in xnn_define_fully_connected() 362 switch (filter_value->datatype) { in xnn_define_fully_connected() 367 if (filter_value->quantization.zero_point != 0) { in xnn_define_fully_connected() 371 filter_value->quantization.zero_point, xnn_datatype_to_string(filter_value->datatype)); in xnn_define_fully_connected() 383 xnn_datatype_to_string(filter_value->datatype), filter_value->datatype); in xnn_define_fully_connected() 457 input_value->datatype, filter_value->datatype, bias_value->datatype, output_value->datatype); in xnn_define_fully_connected() 464 xnn_datatype_to_string(filter_value->datatype), in xnn_define_fully_connected() [all …]
|
D | depthwise-convolution-2d.c | 569 const struct xnn_value* filter_value = &subgraph->values[filter_id]; in xnn_define_depthwise_convolution_2d() local 570 if (filter_value->type != xnn_value_type_dense_tensor) { in xnn_define_depthwise_convolution_2d() 573 … xnn_node_type_to_string(xnn_node_type_depthwise_convolution_2d), filter_id, filter_value->type); in xnn_define_depthwise_convolution_2d() 577 if (filter_value->data == NULL) { in xnn_define_depthwise_convolution_2d() 584 switch (filter_value->datatype) { in xnn_define_depthwise_convolution_2d() 589 if (filter_value->quantization.zero_point != 0) { in xnn_define_depthwise_convolution_2d() 593 filter_value->quantization.zero_point, xnn_datatype_to_string(filter_value->datatype)); in xnn_define_depthwise_convolution_2d() 607 xnn_datatype_to_string(filter_value->datatype), filter_value->datatype); in xnn_define_depthwise_convolution_2d() 684 input_value->datatype, filter_value->datatype, bias_value->datatype, output_value->datatype); in xnn_define_depthwise_convolution_2d() 691 xnn_datatype_to_string(filter_value->datatype), in xnn_define_depthwise_convolution_2d() [all …]
|
D | deconvolution-2d.c | 468 const struct xnn_value* filter_value = &subgraph->values[filter_id]; in xnn_define_deconvolution_2d() local 469 if (filter_value->type != xnn_value_type_dense_tensor) { in xnn_define_deconvolution_2d() 472 xnn_node_type_to_string(xnn_node_type_deconvolution_2d), filter_id, filter_value->type); in xnn_define_deconvolution_2d() 476 if (filter_value->data == NULL) { in xnn_define_deconvolution_2d() 483 switch (filter_value->datatype) { in xnn_define_deconvolution_2d() 488 if (filter_value->quantization.zero_point != 0) { in xnn_define_deconvolution_2d() 492 filter_value->quantization.zero_point, xnn_datatype_to_string(filter_value->datatype)); in xnn_define_deconvolution_2d() 504 xnn_datatype_to_string(filter_value->datatype), filter_value->datatype); in xnn_define_deconvolution_2d() 579 input_value->datatype, filter_value->datatype, bias_value->datatype, output_value->datatype); in xnn_define_deconvolution_2d() 586 xnn_datatype_to_string(filter_value->datatype), in xnn_define_deconvolution_2d() [all …]
|
D | convolution-2d.c | 576 const struct xnn_value* filter_value = &subgraph->values[filter_id]; in xnn_define_convolution_2d() local 577 if (filter_value->type != xnn_value_type_dense_tensor) { in xnn_define_convolution_2d() 580 xnn_node_type_to_string(xnn_node_type_convolution_2d), filter_id, filter_value->type); in xnn_define_convolution_2d() 584 if (filter_value->data == NULL) { in xnn_define_convolution_2d() 591 switch (filter_value->datatype) { in xnn_define_convolution_2d() 596 if (filter_value->quantization.zero_point != 0) { in xnn_define_convolution_2d() 600 filter_value->quantization.zero_point, xnn_datatype_to_string(filter_value->datatype)); in xnn_define_convolution_2d() 614 xnn_datatype_to_string(filter_value->datatype), filter_value->datatype); in xnn_define_convolution_2d() 691 input_value->datatype, filter_value->datatype, bias_value->datatype, output_value->datatype); in xnn_define_convolution_2d() 698 xnn_datatype_to_string(filter_value->datatype), in xnn_define_convolution_2d() [all …]
|
/external/tensorflow/tensorflow/lite/testing/op_tests/ |
D | control_dep.py | 35 filter_value = tf.zeros((3, 3, TEST_INPUT_DEPTH, 8), tf.float32) 40 input_tensor, filter_value, strides=(1, 1, 1, 1), padding="SAME")
|
/external/tensorflow/tensorflow/lite/experimental/mlir/testing/op_tests/ |
D | control_dep.py | 39 filter_value = tf.zeros((3, 3, TEST_INPUT_DEPTH, 8), tf.float32) 44 input_tensor, filter_value, strides=(1, 1, 1, 1), padding="SAME")
|
/external/autotest/utils/ |
D | site_check_dut_usage.py | 68 filter_value = self._label 71 filter_value = self._hostname 74 query, [self._start_time, self._end_time, filter_value])
|
/external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
D | transpose_conv.h | 88 float filter_value = in TransposeConv() local 93 input_value * filter_value; in TransposeConv() 179 uint8_t filter_value = in TransposeConv() local 185 (filter_value + filter_offset); in TransposeConv()
|
D | depthwiseconv_float.h | 76 float filter_value = filter_data[Offset( in DepthwiseConv() local 78 total += (input_value * filter_value); in DepthwiseConv()
|
D | conv3d.h | 87 float filter_value = in Conv3D() local 90 total += (input_value * filter_value); in Conv3D()
|
D | conv3d_transpose.h | 91 float filter_value = filter_data[Offset( in Conv3DTranspose() local 96 input_value * filter_value; in Conv3DTranspose()
|
D | conv.h | 90 float filter_value = filter_data[Offset( in Conv() local 92 total += (input_value * filter_value); in Conv()
|
/external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
D | transpose_conv.h | 87 const int8_t filter_value = in TransposeConv() local 92 (input_value + input_offset) * filter_value; in TransposeConv() 185 const int32_t filter_value = in TransposeConv() local 190 input_value * filter_value; in TransposeConv()
|
/external/tensorflow/tensorflow/compiler/mlir/tensorflow/transforms/ |
D | optimize.td | 55 (Arith_ConstantOp:$filter F32ElementsAttr:$filter_value), 61 (TF_MulOp (Arith_ConstantOp $filter_value, (location $filter)), 66 [(CanFuseMulAndConv2D $filter_value, $mul_value), (HasOneUse $conv)]>;
|
/external/libgav1/src/dsp/ |
D | loop_filter.cc | 194 inline Pixel ApplyFilter6(int filter_value) { in ApplyFilter6() argument 195 return static_cast<Pixel>(RightShiftWithRounding(filter_value, 3)); in ApplyFilter6() 294 inline Pixel ApplyFilter8(int filter_value) { in ApplyFilter8() argument 295 return static_cast<Pixel>(RightShiftWithRounding(filter_value, 3)); in ApplyFilter8() 377 inline Pixel ApplyFilter14(int filter_value) { in ApplyFilter14() argument 378 return static_cast<Pixel>(RightShiftWithRounding(filter_value, 4)); in ApplyFilter14()
|
/external/libcups/cgi-bin/ |
D | cgi.h | 94 const char *filter_value,
|
D | ipp-var.c | 1251 const char *filter_value, /* I - Filter value */ in cgiSetIPPVars() argument 1263 filter_value ? filter_value : "(null)", in cgiSetIPPVars() 1305 !_cups_strcasecmp(filter->values[0].string.text, filter_value)) in cgiSetIPPVars()
|
/external/tensorflow/tensorflow/core/kernels/ |
D | conv_ops_using_gemm.cc | 176 const T2 filter_value = in operator ()() local 181 total += (input_value * filter_value); in operator ()()
|
D | quantized_conv_ops.cc | 164 const int32_t filter_value = in operator ()() local 166 total += (input_value * filter_value); in operator ()()
|
D | depthwise_conv_op_gpu.h | 307 const S filter_value = *filter_ptr; 309 sum1 += filter_value * tile_ptr[0]; 310 sum2 += filter_value * tile_ptr[tile_offset]; 600 const S filter_value = *filter_ptr; 602 sum1 += filter_value * tile_ptr[0]; 603 sum2 += filter_value * tile_ptr[tile_offset];
|
/external/compiler-rt/cmake/Modules/ |
D | CompilerRTDarwinUtils.cmake | 236 set(filter_value -1) variable 239 set(filter_value 0) variable 248 if(_found ${filter_action} ${filter_value})
|
/external/wpa_supplicant_8/wpa_supplicant/ |
D | robust_av.c | 93 wpabuf_put_data(buf, type10_param->filter_value, in wpas_populate_type10_classifier() 635 os_free(tclas_data->frame_classifier.type10_param.filter_value); in free_up_tclas_elem()
|
D | wpa_supplicant_i.h | 577 u8 *filter_value; member
|
/external/tensorflow/tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/ |
D | quantize_model_test.py | 238 self.filter_value = np.random.uniform( 256 filter_tensor = ops.convert_to_tensor(self.filter_value)
|