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Results 1 - 10 of 28 for dimensions (0.06 seconds)

  1. tensorflow/c/eager/immediate_execution_tensor_handle.h

    class ImmediateExecutionTensorHandle : public AbstractTensorHandle {
     public:
      // Returns number of dimensions.
      virtual absl::Status NumDims(int* num_dims) const = 0;
      // Returns number of elements across all dimensions.
      virtual absl::Status NumElements(int64_t* num_elements) const = 0;
      // Returns size of specified dimension
      //
      // -1 indicates an unknown axis length; this is unreachable for most standard
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Sat Oct 12 05:11:17 GMT 2024
    - 4.3K bytes
    - Click Count (0)
  2. src/main/java/org/codelibs/fess/thumbnail/impl/HtmlTagBasedGenerator.java

    /**
     * HTML tag-based thumbnail generator that creates thumbnails from image content
     * referenced in HTML documents. This generator extracts images from HTML content
     * and processes them to create thumbnail images based on configured dimensions
     * and format settings.
     *
     * <p>The generator validates image MIME types, processes image data through
     * ImageIO operations, and applies scaling and cropping to generate thumbnails
    Created: Tue Mar 31 13:07:34 GMT 2026
    - Last Modified: Thu Jan 01 12:47:47 GMT 2026
    - 10.6K bytes
    - Click Count (0)
  3. tensorflow/c/eager/gradient_checker.cc

    void Range(vector<int32_t>* data, int32_t start, int32_t end,
               int32_t step = 1) {
      for (int32_t i = start; i < end; i += step) {
        (*data)[i] = i;
      }
    }
    
    // Fills out_dims with the dimensions of the given tensor.
    void GetDims(const TF_Tensor* t, int64_t* out_dims) {
      int num_dims = TF_NumDims(t);
      for (int i = 0; i < num_dims; i++) {
        out_dims[i] = TF_Dim(t, i);
      }
    }
    
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Sat Oct 12 05:11:17 GMT 2024
    - 7.3K bytes
    - Click Count (0)
  4. tensorflow/c/eager/gradients.cc

      if (num_dims > TensorShape::MaxDimensions()) {
        return absl::InvalidArgumentError(
            absl::StrCat("Value specified for `", attr_name, "` has ", num_dims,
                         " dimensions which is over the limit of ",
                         TensorShape::MaxDimensions(), "."));
      }
      TensorShapeProto proto;
      if (num_dims < 0) {
        proto.set_unknown_rank(true);
      } else {
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Tue Feb 24 06:18:31 GMT 2026
    - 19.6K bytes
    - Click Count (0)
  5. tensorflow/c/c_api_experimental_test.cc

                        /*input_shapes*/ {make_shape({3, 2}), unknown_shape()},
                        /*input_tensors*/ {},
                        /*expected_shape*/ make_shape({3, kUnknownDim}));
    
      // Infer shape when some dimensions are unknown.
      CheckOutputShapes(
          matmul_op,
          /*input_shapes*/ {make_shape({kUnknownDim, 2}), make_shape({2, 4})},
          /*input_tensors*/ {},
          /*expected_shape*/ make_shape({kUnknownDim, 4}));
    
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Wed Jan 07 04:56:09 GMT 2026
    - 13.1K bytes
    - Click Count (0)
  6. tensorflow/c/eager/dlpack.cc

      bool valid = true;
      int64_t expected_stride = 1;
      for (int i = ndim - 1; i >= 0; --i) {
        // Empty tensors are always compact regardless of strides.
        if (shape_arr[i] == 0) return true;
        // Note that dimensions with size=1 can have any stride.
        if (shape_arr[i] != 1 && stride_arr[i] != expected_stride) {
          valid = false;
        }
        expected_stride *= shape_arr[i];
      }
      return valid;
    }
    }  // namespace
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Thu Mar 13 23:41:52 GMT 2025
    - 13K bytes
    - Click Count (0)
  7. tensorflow/c/c_api_experimental.cc

      DCHECK(index >= 0 && index < shape_list->num_items);
      TF_ShapeAndType& shape = shape_list->items[index];
      DCHECK(shape.dims == nullptr) << "Shape at " << index << " is already set!";
      DCHECK(num_dims >= 0) << "Number of dimensions cannot be negative!";
      shape.num_dims = num_dims;
      shape.dims = new int64_t[num_dims];
      memcpy(shape.dims, dims, sizeof(int64_t) * num_dims);
    }
    
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Sat Oct 04 05:55:32 GMT 2025
    - 29.4K bytes
    - Click Count (0)
  8. RELEASE.md

            control flow.
        *   Add `RaggedTensor.numpy()`.
        *   Update `RaggedTensor.__getitem__` to preserve uniform dimensions & allow
            indexing into uniform dimensions.
        *   Update `tf.expand_dims` to always insert the new dimension as a
            non-ragged dimension.
        *   Update `tf.embedding_lookup` to use `partition_strategy` and `max_norm`
            when `ids` is ragged.
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Mon Mar 30 18:31:38 GMT 2026
    - 746.5K bytes
    - Click Count (3)
  9. tensorflow/c/c_api.cc

            InvalidArgument("Node ", node->name(), " was not found in the graph");
        return -1;
      }
    
      tensorflow::shape_inference::ShapeHandle shape = ic->output(output.index);
    
      // Unknown rank means the number of dimensions is -1.
      if (!ic->RankKnown(shape)) {
        return -1;
      }
    
      return ic->Rank(shape);
    }
    
    void TF_GraphGetTensorShape(TF_Graph* graph, TF_Output output, int64_t* dims,
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Sat Oct 04 05:55:32 GMT 2025
    - 102.4K bytes
    - Click Count (0)
  10. src/main/webapp/js/bootstrap.min.js.map

    this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n      this._element.style[dimension] = ''\n\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n    }\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n    const scrollSize = `scroll${capitalizedDimension}`\n\n    this._queueCallback(complete, this._element, true)\n    this._element.style[dimension] = `${this._element[scrollSize]}px`\n  }\n\n  hide() {\n    if (this._isTransitioning || !this._isShown())...
    Created: Tue Mar 31 13:07:34 GMT 2026
    - Last Modified: Sun Jan 12 06:14:02 GMT 2025
    - 211.9K bytes
    - Click Count (0)
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