| /external/tensorflow/tensorflow/java/src/test/java/org/tensorflow/op/core/ |
| D | GradientsTest.java | 47 Gradients grads = Gradients.create(scope, y1, Arrays.asList(x, y0)); in createGradients()
74 Gradients grads = Gradients.create(scope, Arrays.asList(y0, y1), Arrays.asList(x)); in createGradientsWithSum()
99 Gradients grads0 = Gradients.create(scope, y1, Arrays.asList(y0)); in createGradientsWithInitialValues()
100 Gradients grads1 = Gradients.create(scope, y0, Arrays.asList(x), Gradients.dx(grads0.dy())); in createGradientsWithInitialValues()
124 Gradients grad0 = Gradients.create(scope, y, Arrays.asList(x)); in validateGradientsNames()
127 Gradients grad1 = Gradients.create(scope.withName("MyGradients"), y, Arrays.asList(x)); in validateGradientsNames()
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| /external/tensorflow/tensorflow/go/op/ |
| D | gradients_test.go | 36 grads0 := Gradients(s, []tf.Output{y1}, []tf.Output{x1})
48 grads1 := Gradients(sub, []tf.Output{y2}, []tf.Output{x1, x2})
102 grad := Gradients(s, []tf.Output{y0, y1}, []tf.Output{x})
143 grads0 := Gradients(s, []tf.Output{y1}, []tf.Output{y0})
155 grads1 := Gradients(sub, []tf.Output{y0}, []tf.Output{x}, grads0[0])
195 grads0 := Gradients(s, []tf.Output{y0}, []tf.Output{x})
204 grads1 := Gradients(sub, []tf.Output{y0}, []tf.Output{x})
212 Gradients(sub, []tf.Output{y0}, []tf.Output{x})
229 Gradients(s, []tf.Output{y0}, []tf.Output{x})
242 Gradients(s, []tf.Output{y0}, []tf.Output{x})
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| D | gradients.go | 33 func Gradients(scope *Scope, y []tf.Output, x []tf.Output, dx ...tf.Output) (output []tf.Output) { func
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_GRUBlockCellGrad.pbtxt | 16 d_h: Gradients of the h_new wrt to objective function.
19 d_x: Gradients of the x wrt to objective function.
20 d_h_prev: Gradients of the h wrt to objective function.
21 d_c_bar Gradients of the c_bar wrt to objective function.
22 d_r_bar_u_bar Gradients of the r_bar & u_bar wrt to objective function.
60 Mathematics behind the Gradients below:
75 Below calculation is performed in the python wrapper for the Gradients
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| D | api_def_MaxPoolGradGradWithArgmax.pbtxt | 12 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t. the
25 Gradients of gradients w.r.t. the input of `max_pool`.
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| D | api_def_MaxPoolGradWithArgmax.pbtxt | 13 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t. the
26 Gradients w.r.t. the input of `max_pool`.
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| D | api_def_FractionalMaxPoolGrad.pbtxt | 19 4-D with shape `[batch, height, width, channels]`. Gradients
40 4-D. Gradients w.r.t. the input of `fractional_max_pool`.
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| D | api_def_MaxPoolGradV2.pbtxt | 18 4-D. Gradients w.r.t. the output of `max_pool`.
37 Gradients w.r.t. the input to `max_pool`.
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| D | api_def_MaxPoolGradGrad.pbtxt | 18 4-D. Gradients of gradients w.r.t. the input of `max_pool`.
24 Gradients of gradients w.r.t. the input to `max_pool`.
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| D | api_def_MaxPoolGrad.pbtxt | 19 4-D. Gradients w.r.t. the output of `max_pool`.
25 Gradients w.r.t. the input to `max_pool`.
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| D | api_def_MaxPoolGradGradV2.pbtxt | 18 4-D. Gradients of gradients w.r.t. the input of `max_pool`.
37 Gradients of gradients w.r.t. the input to `max_pool`.
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| D | api_def_AvgPoolGrad.pbtxt | 13 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t.
20 4-D. Gradients w.r.t. the input of `avg_pool`.
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| D | api_def_FractionalAvgPoolGrad.pbtxt | 13 4-D with shape `[batch, height, width, channels]`. Gradients
34 4-D. Gradients w.r.t. the input of `fractional_avg_pool`.
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| D | api_def_ResizeNearestNeighborGrad.pbtxt | 20 4-D with shape `[batch, orig_height, orig_width, channels]`. Gradients
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| D | api_def_ResizeBilinearGrad.pbtxt | 21 Gradients with respect to the input image. Input image must have been
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| D | api_def_LRNGrad.pbtxt | 52 summary: "Gradients for Local Response Normalization."
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| D | api_def_ResizeBicubicGrad.pbtxt | 21 Gradients with respect to the input image. Input image must have been
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| D | api_def_MaxPool3DGradGrad.pbtxt | 24 Gradients of gradients w.r.t. the input to `max_pool`.
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| D | api_def_BatchNormWithGlobalNormalizationGrad.pbtxt | 82 summary: "Gradients for batch normalization."
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| D | api_def_DepthwiseConv2dNativeBackpropFilter.pbtxt | 25 Gradients w.r.t. the output of the convolution.
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| D | api_def_DepthwiseConv2dNativeBackpropInput.pbtxt | 24 Gradients w.r.t. the output of the convolution.
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| /external/tensorflow/tensorflow/java/src/main/java/org/tensorflow/op/core/ |
| D | Gradients.java | 52 public class Gradients implements Op, Iterable<Operand<?>> { class
84 public static Gradients create( in create()
105 return new Gradients(Arrays.asList(dy)); in create()
122 public static Gradients create( in create()
165 private Gradients(List<Output<?>> dy) { in Gradients() method in Gradients
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| /external/skia/src/gpu/gradients/ |
| D | README.md | 1 Gradients on the GPU
4 Gradients can be thought of, at a very high level, as three pieces:
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| /external/skqp/src/gpu/gradients/ |
| D | README.md | 1 Gradients on the GPU
4 Gradients can be thought of, at a very high level, as three pieces:
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| /external/tensorflow/tensorflow/cc/gradients/ |
| D | README.md | 3 Gradients are currently being ported from
|