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Results 71 - 80 of 2,025 for input0 (0.24 sec)

  2. github.com/golang/go

    src/cmd/gofmt/testdata/stdin4.input 

    Robert Griesemer <******@****.***> 1408667113 -0700
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Fri Aug 22 00:25:13 UTC 2014
    - 39 bytes
    - Viewed (0)
  3. github.com/golang/go

    src/go/printer/testdata/gobuild3.input 

    Russ Cox <******@****.***> 1593202955 -0400
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Sat Feb 20 03:54:46 UTC 2021
    - 89 bytes
    - Viewed (0)
  4. github.com/golang/go

    src/go/printer/testdata/gobuild5.input 

    Russ Cox <******@****.***> 1593202955 -0400
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Sat Feb 20 03:54:46 UTC 2021
    - 62 bytes
    - Viewed (0)
  5. github.com/golang/go

    src/go/printer/testdata/gobuild7.input 

    Russ Cox <******@****.***> 1593202955 -0400
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Sat Feb 20 03:54:46 UTC 2021
    - 369 bytes
    - Viewed (0)
  6. github.com/golang/go

    src/go/printer/testdata/slow.input 

    Russ Cox <******@****.***> 1410149331 -0400
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Sep 08 04:08:51 UTC 2014
    - 1.9K bytes
    - Viewed (0)
  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tfr/examples/pad/ops_defs.py 

              num_split=2)

    input_ = tf.raw_ops.Concat(
        concat_dim=i, values=[left_padding, input_, right_padding])
  return input_


@tf.RegisterGradient('NewMirrorPad')
def _mirror_pad_grad(op, grad):
  mode = op.get_attr('mode')
  return [gen_array_ops.mirror_pad_grad(grad, op.inputs[1], mode=mode), None]


@Composite(
    'NewMirrorPadGrad',
    inputs=['input_: T', 'paddings: Tpaddings'],
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Oct 01 05:00:29 UTC 2021
    - 5.6K bytes
    - Viewed (0)
  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/signature.mlir 

    // CHECK: {tf_saved_model.index_path = ["input2"]}
// CHECK-SAME: {tf_saved_model.index_path = ["input1"]}
// CHECK-SAME: {tf_saved_model.index_path = ["start_logits"]}
// CHECK-SAME: {tf_saved_model.index_path = ["end_logits"]}
// CHECK-SAME: tf.entry_function = {inputs = "serving_default_input2:0,serving_default_input1:0", outputs = "StatefulPartitionedCall:1,StatefulPartitionedCall:0"}
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 24 07:35:24 UTC 2022
    - 1.9K bytes
    - Viewed (0)
  9. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-function-input-shapes.pbtxt 

      op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }
  }
  experimental_debug_info {
  }
}
node {
  name: "If"
  op: "If"
  input: "Placeholder"
  input: "Placeholder_1"
  attr {
    key: "Tcond"
    value {
      type: DT_BOOL
    }
  }
  attr {
    key: "Tin"
    value {
      list {
        type: DT_INT32
      }
    }
  }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Nov 11 19:14:04 UTC 2020
    - 1.7K bytes
    - Viewed (0)
  10. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tfr/examples/mnist/ops_defs.py 

      shape_0, shape_1 = tf.shape_n([op.inputs[0], op.inputs[1]])
  return [
      tf.compat.v1.nn.conv2d_backprop_input(
          shape_0,
          op.inputs[1],
          grad,
          strides=strides,
          padding=padding,
          dilations=dilations,
          data_format='NHWC'),
      tf.compat.v1.nn.conv2d_backprop_filter(
          op.inputs[0],
          shape_1,
          grad,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Aug 31 20:23:51 UTC 2023
    - 6.8K bytes
    - Viewed (0)
  11. github.com/gradle/gradle

    platforms/software/dependency-management/src/test/groovy/org/gradle/integtests/resolve/transform/ArtifactTransformInvocationTest.groovy 

        def setup() {
        INVOCATION_COUNT.set(0)
    }

    def "input artifact selection is restored when using the in-memory cache"() {
        def transform = registerTransform(IdentityTransform)

        def inputArtifact1 = file("input1/input.txt")
        inputArtifact1.text = "Hello"

        def inputArtifact2 = file("input2/input.txt")
        inputArtifact2.text = "Hello"

        expect:
    Registered: Wed Jun 12 18:38:38 UTC 2024
    - Last Modified: Tue Oct 10 21:10:11 UTC 2023
    - 7K bytes
    - Viewed (0)
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