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Results 1 - 3 of 3 for dilation_h (0.17 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// OK %0 = "tf.Conv2D"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32> // Unsupported data format
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
has_batch_norm = True dilations = None input_shape = (1, 3, 4, 3) filter_shape = (2, 3, 3, 2) strides = (1, 1, 1, 1) model = self._create_conv2d_model( input_shape, filter_shape, self._input_saved_model_path, bias_fn, activation_fn, has_batch_norm, strides, dilations, )
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
state.stride_height = height; state.stride_width = width; if (TFIntListIs1XY1(op, "dilations", &height, &width)) { state.dilation_height_factor = height; state.dilation_width_factor = width; } else { // If the 'dilations' attribute is missing, we use the default value (1) // for both dilation height and width factor. state.dilation_height_factor = intAttrOne;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0)