| /external/eigen/unsupported/test/ |
| cxx11_tensor_striding.cpp | 28 no_stride = tensor.stride(strides);
49 Tensor<float, 4, DataLayout> stride; local
50 stride = tensor.stride(strides);
52 VERIFY_IS_EQUAL(stride.dimension(0), 1);
53 VERIFY_IS_EQUAL(stride.dimension(1), 1);
54 VERIFY_IS_EQUAL(stride.dimension(2), 3);
55 VERIFY_IS_EQUAL(stride.dimension(3), 3);
61 VERIFY_IS_EQUAL(tensor(2*i,4*j,2*k,3*l), stride(i,j,k,l));
81 result.stride(strides) = tensor
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/service/cpu/ |
| runtime_fork_join.cc | 74 // Compute partition stride in 'partitions' array.
75 const int64 stride = 2 * num_partitioned_dims; local
80 const int64 offset = i * stride;
|
| /external/libvpx/libvpx/vp9/encoder/ |
| vp9_alt_ref_aq.h | 45 int stride; member in struct:MATX_8U
|
| /external/tensorflow/tensorflow/core/kernels/ |
| ops_util.h | 34 // current index, input size, kernel size, stride, padding size, the starting
39 const int stride, const int pad_size, int* bindex,
93 T stride = 1; local
95 strides[i] = stride;
96 stride *= static_cast<T>(shape.dim_size(i));
106 T stride = 1; local
108 strides[i] = stride;
109 stride *= static_cast<T>(shape[i]);
|
| /external/tensorflow/tensorflow/examples/wav_to_spectrogram/ |
| main.cc | 30 tensorflow::int32 stride = 128; local
37 tensorflow::Flag("stride", &stride,
59 input_wav, window_size, stride, brightness, output_image);
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| conv_float.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_float_2.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output)
|
| conv_float_channels.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_float_channels_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_float_large.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_float_large_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_float_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_quant8.mod.py | 25 stride = Int32Scalar("stride", 1) variable
30 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride,
31 stride, act).To(output)
|
| conv_quant8_channels.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_quant8_channels_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_quant8_large.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_quant8_large_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_quant8_overflow.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_quant8_overflow_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_quant8_weights_as_inputs.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| conv_float_2_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output)
|
| conv_float_channels_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_float_channels_weights_as_inputs_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_float_large_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
| conv_float_large_weights_as_inputs_relaxed.mod.py | 23 stride = Int32Scalar("stride", 1) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
|
