her at the flowers and the blades of grass, but she did not see
anything that looked like the right thing to eat or drink under
the circumstances.  There was a large mushroom growing near her,
about the same height as herself; and when she had looked under
it, and on both sides of it, and behind it, it occurred to her
that she might as well look and see what was on the top of it.

			Weight:      49,
		}, {
			Destination: &networking.Destination{Host: "foo.baz.east"},
			Weight:      50,
		}}, valid: true},
		{name: "total weight = 100", routes: []*networking.RouteDestination{{
			Destination: &networking.Destination{Host: "foo.baz.south"},
			Weight:      100,
		}, {
			Destination: &networking.Destination{Host: "foo.baz.east"},
			Weight:      0,
		}}, valid: true},

you may stop it in any one place, and let it pass in any other. For that part of Light which is stopp'd cannot be the same with that which is let pass. The least Light or part of Light, which may be stopp'd alone without the rest of the Light, or propagated alone, or do or suffer any thing alone, which the rest of the Light doth not or suffers not, I call a Ray of Light. DEFIN. II. _Refrangibility of the Rays of Light, is their Disposition to be refracted or turned out of their Way in passing out...

her at the flowers and the blades of grass, but she did not see
anything that looked like the right thing to eat or drink under
the circumstances.  There was a large mushroom growing near her,
about the same height as herself; and when she had looked under
it, and on both sides of it, and behind it, it occurred to her
that she might as well look and see what was on the top of it.

the end.

This operation is useful if you want to add a batch dimension to a single
element. For example, if you have a single image of shape `[height, width,
channels]`, you can make it a batch of 1 image with `expand_dims(image, 0)`,
which will make the shape `[1, height, width, channels]`.

Other examples:

```
# 't' is a tensor of shape [2]
shape(expand_dims(t, 0)) ==> [1, 2]

        // This filter goes through quantize and dequantize ops. Then we just
        // need to update the weight to the quantize op.
        filter.replaceAllUsesWith(new_filter_op);
      } else {
        // This filter doesn't go through quantize and dequantize ops, Then
        // we update the weight of the affine op directly.
        fc_op.setOperand(1, new_filter_op);
      }
    } else {

func.func @testBatchToSpaceInvalidOutputHeight(%arg0: tensor<16x8x8x3xf32>, %arg1: tensor<*xi32>) {
  // expected-error @+1 {{'tf.BatchToSpace' op requires output height (dimension 1) to be less than or equal to input height (dimension 1) * block_size, but got output height 17, input height 8, and block_size 2}}
  %0 = "tf.BatchToSpace"(%arg0, %arg1) {block_size = 2 : i64} : (tensor<16x8x8x3xf32>, tensor<*xi32>) -> tensor<4x17x8x3xf32>
  func.return
}

        },
        "weight": {
          "description": "weight associated with matching the corresponding podAffinityTerm, in the range 1-100.",
          "format": "int32",
          "type": "integer"
        }
      },
      "required": [
        "weight",
        "podAffinityTerm"
      ],
      "type": "object"

"touches":3,"min_t":1228525763,"max_t":1236205616,"mean_t":1231403388},{"name":"window-height-change-expected.png","kids":[],"cl_weight":0.0006270059426999707,"touches":2,"min_t":1228525763,"max_t":1236205616,"mean_t":1232365689},{"name":"negative-right-pos-expected.checksum","kids":[],"cl_weight":0.0006270059426999707,"touches":2,"min_t":1228525763,"max_t":1236205616,"mean_t":1232365689},{"name":"auto-height-with-top-and-bottom-expected.png","kids":[],"cl_weight":0.0006270059426999707,"touches"...

    if (!IsI8F32UniformQuantizedType(filter_element_type)) {
      LLVM_DEBUG(llvm::dbgs()
                 << "Expected a per-tensor uniform "
                    "quantized (i8->f32) weight for dot_general. Got: "
                 << filter_type << "\n");
      return failure();
    }
    const int rhs_rank = filter_type.cast<TensorType>().getRank();
    const auto rhs_contracting_dim =