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Results 31 - 40 of 41 for tfshape$ (0.18 sec)

  1. tensorflow/cc/saved_model/testdata/half_plus_two_pbtxt/00000123/saved_model.pbtxt

            }
            input_arg {
              name: "shape"
              type_attr: "Tshape"
            }
            output_arg {
              name: "output"
              type_attr: "T"
            }
            attr {
              name: "T"
              type: "type"
            }
            attr {
              name: "Tshape"
              type: "type"
              default_value {
                type: DT_INT32
              }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 26 01:10:27 UTC 2017
    - 46.9K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir

      %r1 = "tf.Reshape"(%in, %s1) {T = f32, Tshape = i32, device = ""} : (tensor<3x3x48x1xf32>, tensor<3xi32>) -> tensor<3x3x48xf32>
      %fq = "tf.FakeQuantWithMinMaxVarsPerChannel"(%r1, %mini, %maxi) {num_bits = 5, narrow_range = false} : (tensor<3x3x48xf32>, tensor<48xf32>, tensor<48xf32>) -> tensor<3x3x48xf32>
      %r2 = "tf.Reshape"(%fq, %s2) {T = f32, Tshape = i32, device = ""} : (tensor<3x3x48xf32>, tensor<4xi32>) -> tensor<3x3x48x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.4K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity.pbtxt

      input: "BoxPredictor_4/ClassPredictor/act_quant/FakeQuantWithMinMaxVars"
      input: "BoxPredictor_4/Reshape_1/shape"
      attr {
        key: "T"
        value {
          type: DT_FLOAT
        }
      }
      attr {
        key: "Tshape"
        value {
          type: DT_INT32
        }
      }
    }
    
    # MLIR-LABEL: func @main
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.8K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_without_identity_4bit.pbtxt

      input: "BoxPredictor_4/ClassPredictor/act_quant/FakeQuantWithMinMaxVars"
      input: "BoxPredictor_4/Reshape_1/shape"
      attr {
        key: "T"
        value {
          type: DT_FLOAT
        }
      }
      attr {
        key: "Tshape"
        value {
          type: DT_INT32
        }
      }
    }
    
    # MLIR-LABEL: func @main
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.8K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant-4bit.mlir

      %r1 = "tf.Reshape"(%in, %s1) {T = f32, Tshape = i32, device = ""} : (tensor<3x3x48x1xf32>, tensor<3xi32>) -> tensor<3x3x48xf32>
      %fq = "tf.FakeQuantWithMinMaxVarsPerChannel"(%r1, %mini, %maxi) {num_bits = 3, narrow_range = false} : (tensor<3x3x48xf32>, tensor<48xf32>, tensor<48xf32>) -> tensor<3x3x48xf32>
      %r2 = "tf.Reshape"(%fq, %s2) {T = f32, Tshape = i32, device = ""} : (tensor<3x3x48xf32>, tensor<4xi32>) -> tensor<3x3x48x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 22K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel.pbtxt

      input: "BoxPredictor_4/ClassPredictor/act_quant/FakeQuantWithMinMaxVars"
      input: "BoxPredictor_4/Reshape_1/shape"
      attr {
        key: "T"
        value {
          type: DT_FLOAT
        }
      }
      attr {
        key: "Tshape"
        value {
          type: DT_INT32
        }
      }
    }
    
    # MLIR-LABEL: func @main
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 18.1K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel_4bit.pbtxt

      input: "BoxPredictor_4/ClassPredictor/act_quant/FakeQuantWithMinMaxVars"
      input: "BoxPredictor_4/Reshape_1/shape"
      attr {
        key: "T"
        value {
          type: DT_FLOAT
        }
      }
      attr {
        key: "Tshape"
        value {
          type: DT_INT32
        }
      }
    }
    
    # MLIR-LABEL: func @main
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 18.1K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

      );
    
      let results = (outs
        TF_FloatTensor:$output
      );
    
      TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<1>;
      TF_DerivedOperandTypeAttr Tshape = TF_DerivedOperandTypeAttr<0>;
    }
    
    def TF_CosOp : TF_Op<"Cos", [Pure, TF_SameOperandsAndResultTypeResolveRef]> {
      let summary = "Computes cos of x element-wise.";
    
      let description = [{
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir

        %19 = "tf.Pack"(%18, %cst_5) {N = 2 : i64, T = i32, axis = 0 : i64, device = ""} : (tensor<i32>, tensor<i32>) -> tensor<2xi32>
        // CHECK: -> tensor<1x512xf32>
        %40 = "tf.Reshape"(%39, %19) {T = f32, Tshape = i32, device = ""} : (tensor<1x4x4x32xf32>, tensor<2xi32>) -> tensor<?x?xf32>
       func.return
      }
    
      // CHECK-LABEL: func @shape_partial_eval
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 23 17:24:10 UTC 2024
    - 167.4K bytes
    - Viewed (0)
  10. tensorflow/compiler/jit/tests/keras_imagenet_main_graph_mode.pbtxt

      device: "/job:localhost/replica:0/task:0/device:GPU:0"
      attr {
        key: "T"
        value {
          type: DT_FLOAT
        }
      }
      attr {
        key: "Tshape"
        value {
          type: DT_INT32
        }
      }
    }
    node {
      name: "metrics_2/sparse_categorical_accuracy/Squeeze"
      op: "Squeeze"
      input: "_identity_activation_49_target_1_0"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 30 02:52:54 UTC 2019
    - 1.1M bytes
    - Viewed (0)
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